A Summit for Industry Leaders and Tech Visionaries

This year’s Expo brings together a distinguished audience, including CTOs, CDOs, CIOs, Heads of AI/ML, Data Scientists, Security Professionals, and representatives from Startups, OEMs, Governments, and Investment Firms. Attendees will have the unique opportunity to network with industry titans and delve into the most critical topics shaping the future of AI and Big Data.

Cutting-Edge Insights and Real-World Applications

The Expo boasts a dynamic program featuring solo presentations, expert panel discussions, and insightful fireside chats. Over 250 industry leaders will share their unparalleled knowledge and real-life experiences, exploring the latest advancements in AI and Big Data. Key themes for 2024 include:

• Responsible and Ethical AI Development
• Leveraging AI to Combat Cyber Threats
• AI-Driven Personalization Strategies
• Data Monetization and Quality Management
• Enterprise Adoption of AI: Strategies and Challenges
• The Rise of AI-powered Operations (AIOps)
• Embracing AI for Digital Transformation
• Building Trust Through Explainable AI

A Showcase of Innovation Across Industries

The Expo doesn’t just delve into theoretical concepts. Attendees will witness the transformative impact of AI and Big Data across various sectors, including manufacturing, transportation, supply chain, government, legal services, finance, energy, healthcare, retail, and more.

Join the North American AI & Big Data Revolution

The 2024 AI & Big Data Expo North America promises to be a pivotal event for businesses seeking to leverage the immense potential of AI and Big Data. This is your chance to connect with industry leaders, discover cutting-edge solutions, and gain invaluable insights to drive your organization forward.

The post AI & Big Data Expo North America 2024: Shaping the Future of Enterprise Intelligence first appeared on AITechTrend.

NEW YORK, May 29, 2024 /PRNewswire/ — RealReviews.io secures new funding to scale its AI-powered review platform and enter new markets

RealReviews.io is pleased to announce the successful completion of its investment round to all users and potential partners. The undisclosed sum from a group of angel investors is rumored to value the company at around $100m. This capital will be deployed to enhance the company’s vetting of customer reviews to ensure they are, as the company states, “real” (i.e. not bot-generated by the companies themselves to fabricate good online reputation).

Key selling point of RealReviews.io is its fake-detection engine. The company states that it values “quality over quantity”, preferring to allow only vetted reviews to be posted on its customer review platform. Given the massive proliferation of AI generated content, RealReviews.io platform literally took off in the English speaking world, and the company is now working hard to scale the model to other local markets. The Netherlands, Hungary and Ukraine have been chosen to test the strategy, and more languages are promised later this year.

“Customer reviews are an invaluable asset for us and a form of trust capital. In the age of fake AI content we believe it’s best for the businesses and for society to have 50 real reviews rather than 5,000 questionable ones. By integrating advanced AI solutions, we can enhance our understanding of reviews and their impact on businesses and assist companies in improving their products and services, all while ensuring users encounter authentic messages on our customer review platform,” stated the CEO of RealReviews.io.

Entering New Markets

Ukraine

Ukraine has emerged as a new area of interest, largely due to its expanding e-commerce market and increasing customer engagement. More and more citizens opt for online shopping and service ordering over traditional methods. This trend has underscored the necessity of understanding the market and identifying trustworthy entities.

Given that the Ukrainian business segment lacks a unified platform for reviews and user feedback analysis, RealReviews.io has seized the opportunity to fill this gap and offer a comprehensive solution for enhancing interaction across all parties of the e-commerce market. Now, with AI solutions, businesses, and average web users seeking to enhance their shopping experiences can benefit. Today, each Ukrainian can check the review of any local company with one click.

Hungary

The Hungarian market for the distribution of digital goods and services is also experiencing rapid growth. More than half of all purchases and searches for service providers are conducted online. With citizens’ increasing digital engagement, more and more people are paying attention to online customer reviews.

Individuals must know whether they can trust companies and what other customers say about them. This posed a significant challenge for local businesses, as there was a need for a trustworthy platform to connect people and businesses. Hence, RealReviews.io decided to enter the Hungarian market and provide a comprehensive solution for all parties involved.

The Netherlands

The commercial market in the Netherlands consistently maintains a high level. The population’s involvement in high technology is notably active. With more than half of all sales and services conducted online and the country’s regulatory framework not impeding the development of technology companies focused on review sites and responses, the environment is conducive to growth.

Moreover, the Netherlands leads in Europe in reducing bureaucratic barriers to business expansion. Therefore, it was only a matter of time before RealReviews.io entered this market. This country’s residents and business representatives will now have access to a modern AI-powered review platform.

Investment Focus Areas

Automated Response Assistance

Automation has always been a priority for RealReviews.io, as it facilitates the integration of AI and advanced solutions to simplify business interactions with customers and their negative or positive reviews. For businesses, this presents several opportunities:

1. Timely and personalized responses to customer feedback.
2. The ability to analyze people’s experiences and adapt accordingly.
3. Analysis of the sentiment and context of each message.
4. Selection of the best responses to negative reviews to resolve issues.

The solutions provided by RealReviews.io enable automated expressions of gratitude to customers for positive reviews, offering constructive responses even in unconventional scenarios and deeply customizing the context of interaction with the audience. The ultimate goal is effective engagement with the target audience, and automated solutions can facilitate achieving this desired outcome. Now, businesses can reply to both positive and negative reviews to maintain their growth.

Enhancements to Existing Systems

Automated Review Analysis

The primary objective of RealReviews.io is to continuously enhance customer sentiment recognition systems, which can significantly improve the accuracy of review analysis. Implementing advanced large language models allows for interpreting and implementing automated customer review analysis by generating a tag cloud with keywords.

Consequently, the system can categorize all specific issues or attributes, handle reviews efficiently, and provide effective solutions for prompt responses. Sentiment tracking is crucial for businesses seeking to capture subtle changes in customer needs, behavioral patterns, and experiences with specific web solutions.

Detecting Fake Reviews

Like all businesses committed to honest dialogue with customers, RealReviews.io makes every effort to train linguistic models to identify patterns and anomalies associated with fake reviews. Trolling, review bombing, flaming, blackmail, spam, and classic disinformation have an extremely negative impact on any company and must be stopped.

The analytical model in RealReviews.io reads contextual signals, repeated phrases, and all patterns that are not typical for the real reviews of the average customer. As a result, business owners can receive suspicious activity reports or even the option to block fake reviews, saving significant time automatically.

Bottom Line

In recent months, RealReviews.io has been on the brink of a breakthrough in customer review management. With recent investments and market expansion, it’s only a matter of time before the customer reviews market undergoes a revolution. Enhancing the AI model and the overall approach to operating review analysis algorithms offers innovative opportunities for the growth of any business. Consequently, rapid expansion into new markets is becoming an achievable goal for the near future.

About Real Reviews

RealReviews.io is your go-to platform for trustworthy and unbiased information, backed by a passionate team dedicated to empowering users. Our focus on technology, data analysis, and top-notch customer service ensures you get accurate insights for informed decision-making. We simplify choices through reliable reviews, using AI evaluations forobjective assessments. Join our engaged community, where sharing experiences shapes collective knowledge, and discover a space built on transparency, authenticity, and user empowerment. At RealReviews.io, we’re committed to making your decisions confident and well-informed.

Press Contact:

Victoria
+1 302 574 6680
https://realreviews.io/
SOURCE Real Reviews
Source Link: https://www.prnewswire.com/news-releases/realreviewsio-secures-major-funding-to-expand-ai-capabilities-and-enter-new-markets-302158282.html

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Let’s look at the history of AI.

Origin of AI

You wouldn’t believe but AI has been known for many years. It all started during the 1950s when the name artificial Intelligence was coined by John McCarthy in 1956. Since then, AI has continued to progress to such an extent that today we have self-driving cars, speech recognition systems, and humanoid robots. 

Emergence of AI in India 

AI was first introduced to India by Prof.H.N.Mahabala who laid the foundation for computer science by starting India’s first computer science program in 1965 at IIT Kanpur. However, the Research in AI took time and finally was conducted in 1986 when the government of India launched the knowledge-based computing systems program with the help of the United Nations Development Program(UNDP) as a part of the Indian fifth-generation computer system program. It was a five-year project that aimed to conduct research programs to support cooperation among the research centres and also provide solutions to the socio-economic problems in India. The major areas of research are parallel processing, logic programming environments, expert systems for government administration and medical applications. Not just that, a Centre for Artificial Intelligence and Robotics was established in October 1986 by DRDO to primarily focus on AI and robotics.

 In the early 1990s, CAIR developed nipuna, an expert system shell that is capable of making human like decisions to solve complex problems and is used to monitor the health of radors. 

The Rise of AI development in India

Research in AI has flourished in India through research works in IIT Kanpur, IIT Madras, and IIT Kharagpur. According to the Global AI Talent Report 2018, India ranks tenth globally in terms of PhDs and thirteenth in terms of presentations in AI/ML.

Understanding the significance of AI, India’s finance minister mandated Niti Aayog to establish the National Program to support research and developments in new technologies. NITI Aayog’s main objective is to integrate AI in fields like education, agriculture, healthcare, smart cities, infrastructure, and transportation.

According to Stanford University’s AI Index report in 2023, India was ranked fifth in terms of investments received by startups related to AI. As per data, India received a total investment of $3.24 billion in 2022. Between 2013 and 2022 India’s AI companies received $7.73 billion making it the sixth-highest country. 

AI in Healthcare

According to the report, AI expenditure increased by over 108% in 2018 which is about $665 million. It is estimated to be $11.78 billion in 2025.

AI in healthcare assists in creating clinical decision support systems, and self-learning systems in the fields of radiology and pathology. AI is used for the detection of diseases and diagnoses like TB diagnosis and the NITI Aayog is working with Microsoft and forus health to use AI for the early detection signs of DR in diabetic patients.

In the COVID-19 pandemic, CT scans are not affordable in rural areas. To face this challenge DRDO developed ATMAN AI which uses chest X-rays to detect COVID lung-induced abnormalities.

https://m.economictimes.com/industry/healthcare/biotech/healthcare/genai-has-potential-to-completely-transform-indias-healthcare-system-pwc-india/articleshow/108706508.cms

AI in Education

AI is revolutionising education by enabling personalized learning through which students can learn at their own pace. We also know how generative AI tools like chatgpt are helping students and also teachers. Approximately 60% of educators are already using these tools. The National Repository of Open Educational Resources (NROER) and Diksha are well-known OER (open educational resource) platforms initiated by the Government of India.

AI in Agriculture

The Ministry of Agriculture and Farmers Welfare in India employs Artificial Intelligence to address various challenges in the agriculture sector and help in building our economy as we often hear how agriculture is the backbone of our country. If you wonder how can AI help in agriculture then you should know about the problems faced by farmers during farming. 

Now we will see how India is integrating AI in its agriculture sector. The government has undertaken some initiatives such as

1. Kisan e-Mitra: It is an AI-powered chatbot that is designed to address queries about the PM Kisan Samman Nidhi scheme. This solution supports multiple languages.
2. Development of the Kisan Suvidha mobile application : This assists farmers by providing all the information such as weather conditions, Market prices, soil health cards, farm machinery, and inputs like fertilizer, seeds, and pesticide dealing.
3. Development of My Ciphet mobile application: It assists farmers by providing the required information regarding the Indian Council of Agriculture Research (ICAR) developed post-harvest technologies, products and machinery.
4. Using machine learning process along with different computer algorithms for crop classification and area estimation.

You might have also heard about agritech startups that are revolutionising agriculture by providing tech-based innovative solutions.

You can watch this video to learn about agritech startups and how they are helping the farmers.

AI and Employment

Job displacement has become one of our biggest worries since AI has taken over the world. Many people shared their worries regarding this. Several reports indicated that AI would lead to the creation of new jobs. Accenture (2017), a multinational company, based on its the analysis stated that AI has the potential to add USD 957 billion to India’s economy in 2035. 

There are some genuine concerns regarding widespread loss in our IT sector. Gent (2017) has argued that “rapidly improving automation technology is allowing software to carry out routine IT support work and repetitive back-office tasks previously performed by humans”. Tasks like this can be automated and due to this many people may lose their jobs. But there are some domains where jobs can be created.The Task Force on AI, constituted by the Ministry of Commerce and Industry, in its report (MoCI, 2018) had declared ten important domains, where AI can play a critical role in India’s economic transformation. These domains are manufacturing, fin-tech, healthcare, agriculture/food processing, education, retail/consumer engagement, aid for differently-abled/accessibility technology, environment, national security and public utility services.

AI has immense potential to change the economy of India by contributing to the growth of different sectors like agriculture, infrastructure, education and more. While it is true that AI can replace jobs in some sectors, it can also significantly create new jobs like AI Project Managers, AI Ethicists, and Machine Learning Engineers. In this way, AI can be a key source for the economic transformation of India.

The post From Legacy to Leader: India’s Rise as a Powerhouse in AI Development first appeared on AITechTrend.

The ability of a computer to process and carry out tasks that may require human resources and cognition is known as AI. AI in today’s date is seen from the field of medical to the field of business, thus making the relation between human and AI symbiotic.  

Let’s take a look at how the AI technology advanced and developed over the years.  

Beginning its roots in the 1950s, AI has been a part of our lives since a long time. In the year 1950, a man named Alan Turing, established a “Computing Machinery and Intelligence” which in the present world might be called AI. Moving further, in the year 1951, the first artificial neural network (ANN) was created and was named SNARC. It simulated a network of 40 neurons with the help of 3000 vacuum tubes. Moving further ahead in time, in the year 1966, Eliza was developed by Joseph Weizenbaum, which had the ability to interact with humans making them think that the software has human-like characteristics. 

Coming to the modern world, the first ever CNN was developed in the year 2011, and also what came into existence was a “voice powered personal assistant”, launched by Apple, named Siri. In the year 2019, Google AI took over and marked the beginning of Artificial Intelligence across the modern world and in the year 2020, GPT-3 was launched by Open AI. 

These evolutions further resulted in the creation of Vertex AI by Google. Let us now look at what is vertex AI and how does it function. 

What is Vertex AI?  

An extensive machine learning platform, Vertex AI is a platform created by Google Cloud in order to streamline the AI workflow by providing a unified interface. It can perform tasks ranging from the preparation of data to the deployment and monitoring of systems. It provides users with a set of APIs for machine learning. Vertex AI provides every user, the opportunity to use every Cloud service at one platform.  

Vertex AI comes with a variety of tools in order to operate the workflow of machine learning: 

1. AutoML: it helps in building custom machine learning models and makes model selection and hyperparameter tuning, an automatic process. 

2. Custom Model Development: It utilizes popular frameworks such as TensorFlow, PyTorch, and scikit-learn and encourages the training and deploying of custom models.  

3. Streamlined Deployment: Through its managed serving infrastructure, it helps us easily deploy models. 

4. Monitoring and Management: It ensures the reliability and proper functioning of the deployed models by serving a robust monitoring and management system. 

Functions of Vertex AI

Vertex AI performs a majority of functions from preparing data to deploying models. It is a platform which can easily create or deploy and data or model. Let us have an insight on Vertex AI’s functioning: 

1. Preparing Data: Data preparation tasks in Vertex AI are performed with the use of a variety of tools and services specifically designed by the platform. These resources can be employed by users in order to transform, clean and prepare their data for further use in the machine learning projects. This is considered as one of the major steps as the effectiveness of AI models is directly dependent on the Data quality entered by the user. 

2. Developing Models: Vertex AI provides the user with a leniency to either customize the models through its popular frameworks such as TensorFlow, or use the already existing built machine learning models. 

3. Training Models: Through the help of Google’s infrastructure, Vertex AI keeps account of training of machine learning models. The use of support training by the systems helps in reducing the time required in model training.  

4. Deploying Models: Deploying options such as API endpoints are provided to the user after the training of a model. This further gives rise to the predictions about applications.    

5. Monitoring and Management: Tools for monitoring and managing one’s models, are provided by Vertex AI. These tools further help the user to keep a track of the models functioning as well as any changes which might be required in the model.   

Significance of Vertex AI

In the growing world of AI and technology, platforms such as Vertex AI hold immense significance, here are some of the reasons why you should switch to platforms such as Vertex AI in the modern day, rapidly growing technological world. 

1. Accelerated Speed: It reduces the time of training and deploying of model through its use of Google’s infrastructure which further helps in fast AI implementation in the market. 

2. Scalability: It is created to meet the demands of every sort of business and organization, no matter how big or small it is. This provides users with a great level of scalability as it makes the platform available for all sorts of works. 

3. Consistency: By providing services for deploying and training of models, Vertex AI provides a consistent platform reducing the errors and enhancing the quality of delivering AI solutions. 

4. Integration: Vertex AI seamlessly integrates with the Google Cloud Services in order to provide a comprehensive and efficient system.  

5. AutoML capabilities: The AutoML feature, provides the aspect of automation and allows the model developing to be more accessible to a wide range of people.  

The post The Future of AI: Unveiling Google’s Vertex AI Platform first appeared on AITechTrend.

Microsoft’s new vision in its developer’s conference at Redmon Washington premises it to launch a variety of hardware and software tools that would enhance the customer’s use of AI and help in accelerating the Microsoft’s Copilot Software’s AI applications. The announcement is supposed to be made on 20^th May, 2024 at their developer’s conference. It is expected that the company might come up with an upgrade in it’s already existing Surface Pro Tablet and Surface Laptop which is powered by the Snapdragon X Elite Chips inserted from Arm’s designed Qualcomm. 

In order to support AI applications on the device, it is expected that the new Surface Pro and Surface Laptop will contain NPUs which will act as hardware accelerators. Furthermore, in order to maintain a record of the user’s activity on their Windows 11, the company might introduce a new feature called AI Explorer where the user can even check what their activities and work status look like. 

Earlier in January, Microsoft had introduced features where their users can have access to an AI chatbot via their keyboards. This time, to ensure a more safer and efficient use of its AI features, Microsoft will provide a wider range of memory to its already existing Surface Devices so as to support the use of AI applications.

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Create Optical illusion Images from your own photos – Stable Diffusion Illusion Art AI generator

In the world of AI, we keep being amazed by those who have come up with new ideas. AI Hidden Image Generator, has just made us open our eyes wide after the unveiling of its hidden features in neutral looking photos. People have been very interested in this technology but on the other hand has also been generating arguments around it which have led people to start wondering whether there is any danger linked with privacy invasion from using it as well as its potential usage as a means of robbery prevention measure.

Understanding the AI Hidden Image Generator 

Deep learning is the fundamental on which the AI Hidden Image Generator runs. This is a subfield of natural intelligence that imitates massive amounts of information processed by the human neutral networks. Through massive data sets, it is able to learn patterns that are present, predict how they relate to one another, and consequently create novel information in accordance with past experiences in life.

Essentially, hidden image generator uses a technology called deep learning network designs (DLNs) that involves engaging in a competition between two neutral networks namely; generator and discriminator. Typically, the generator comes up with fabricated pictures while discriminator endeavors to separate genuine photos from false ones. The performance of both networks get better with time through a repeating process resulting in a higher degree of realism for generated images.

Unveiling Hidden Information

What makes the AI Hidden Image Generator special is its capability to find hidden data within pictures. This situation is also referred to as steganography which is the art or practice of concealing messages or information within other no-secret text or data. Historically, it has been utilised in secret communication, spying and data confidentiality.

The AI Hidden Image Generator discovers obscure content present in images like symbols, text or complete pictures for researchers and analysts. By examining subtle patterns and anomalies in the image data, it’s able to reveal the hidden information with astonishing precision.

Applications and Implications

The application of the AI Hidden Image Generator is vast and varied. It serves as a powerful solution to the difficulty in information security by being able to discover threats such as malware or uncover communication channels known to criminals. This technology has been used by the police to find digital trail evidence, identify hidden hints from photos while at the same time alerting stakeholders on impending threats.

The Hidden Image Generator helps digital forensics in addition to security. Encrypted and disguised data is often encountered by analysts. By uncovering concealed information within pictures, detectives can track back times, discover associations and join evidence that is very important for catching culprits or revealing swindling schemes.

When talking about intelligence gathering, being able to analyze hidden words from pictures can reveal useful things on what other countries’ enemies, terrorist groups among others are doing. For example you can easily see real motives behind some events like wars or negotiations through items like satellite photos, stolen letters etc.

Ethical considerations

Despite all the unprecedented capabilities of the Image Generator, it provokes several ethical considerations. The technology has privacy issues, civil liberties violations as well as surveillance concerns and escalation potential. Like any other powerful tool there is always a possibility of it being misused or even abused thus resulting in unintended outcomes or even creating ethical dilemmas.

The indiscriminate use of the Hidden Image Generator produced public fears the emphasized the requirement for strong protective and control processes as well as openness. This implies that there has to be ethics outlining its application towards ensuring that it is used properly as well as within the bounds of the law. Furthermore, safeguarding individual privacy and human rights should be given more attention in order to forestall misuses and lessen likely injuries.

The AI Hidden Image Generator is a revolutionary development in the field of AI with the capability of extracting concealed data from pictures. This tool finds use in different sectors such as cyber security, computer forensics or even espionage among others before taking up serious matters that border personal freedoms and public safety. 

To participate in the process of pondering about this transformative technology’s effects, society has to keep in mind the needed balance between advancing and ethical duties. Together with that they enable us to tap into its potentiality and minimize associated dangers by talking to each other, being clear or rather evident in our talk and putting in place defense systems. The only way to be certain of this technology’s ability to help in a good way and respect people’s rights and dignity at the same time is by carefully thinking about it.

The post Enigmatic Illusions: Revealing Secrets with the AI Hidden Image Generator first appeared on AITechTrend.

What is an AI baby generator?

Do not be alarmed if you’re wondering what a Baby Generator is. AI baby generator is a fancy AI tool where you can generate a child’s baby face and how it looks. It will be based on the input you provide to it. The input to the AI tool would be the face of parents or desired features. And in case of prompts, it would be your words in short. Yes, it is that simple. By uploading the face of two persons or someone you desire, we could have a baby face predicted in this AI era where this tool leverages complex algorithms. 

This is a combination of technology, science, and a little bit of magic. It is a valuable resource for many parents out there apart from just being a fun app in my opinion. AI baby generation is the integration of visual approach by combining the parent’s facial looks. Visual imagery of a child complements the fantasy and enriching mental representation of an unborn baby. So, if you are just brainstorming and musing about your potential offspring, do no more and try out these coolest AI baby generator tools that AI has to offer you.

How outstanding are these AI baby generators?

• Based on images of the parents, these apps utilize a variety of techniques to forecast how babies will look in the future.

• Introducing a visual face into our thought processes can stimulate creativity and has the power to evoke emotions. We can generate a deep understanding of an ideal fantasy.

• To improve realism and depth in our thinking, adopting a vision-based approach to thinking requires including visual awareness and understanding into our cognitive processes. So, AI baby generators could act as a useful resource.

• Talking about the moral and societal ramifications of AI-generated material can be sparked by investigating AI baby generators. This covers matters like permission, data protection, and the possible effects of AI on how people perceive and behave.

• Because they provide real-world examples of AI principles and initiate conversations on the moral and societal aspects of AI technology, these generators have educational value.

Top 7 AI Baby Generators

1. OpenArt.ai

With the help of OpenArt.ai AI baby generator you can generate a baby face just by using a prompt. Indeed, it’s as simple as that. If you are just looking to create a baby face for one reason or the other you can utilize this excellent AI tool. 

Key features:

• It has an easy way of generating a face of a baby by just prompting.
• It also allows you to choose prompt enhancement by credit feature.
• Not only can you tell it what you want to see but also could include what you DO NOT want to see in the “negative prompt” input field.
• You can give this AI baby generator a complete image guidance by selecting or attaching your pose reference, style reference, composition reference, face reference and some more options.
• It also possesses advanced settings to enhance the baby face or make it animated as much as you want.

2. OurBabyAI

OurBabyAI is a creative AI baby generator tool used to produce baby faces based on image uploads. These images would be of the parents seeking to take a glimpse of their future baby’s face. The inputs you have to give to this AI baby generator is the tool user’s name, the photos of the mom and dad. Oh, and also you would enter an email address where you want your results to be sent. Hoped for more than one picture and got disappointed? No bummer! You can get 12 of a boy and 12 of a girl .

Key features:

• By prompting just a few inputs, you can receive HD photos of your future child through email attachments.
• Offers more than just a single picture of your child.
• It crafts a tapestry of possibility and hope by combining facial characters of both the uploaded attachments during the input.
• It also has an additional feature of baby name suggestions on its website.

3. Deepgram

Deepgram’s AI baby generator could blow your mind with astonishing results. You could easily get your personalized outcome by placing your order with this AI powered tool. You will receive your order via email which you’ve given at your purchase. A full ownership of the pictures of the baby’s face after the order placement makes it a resourceful tool and also makes it popular among a curious crowd.

Key features:

• The photos generated are manually refined and reviewed to check the quality enhancement possibility and the facial matching percentage.
• This AI baby generator offers you a couple of pictures of the baby including a primary photo, variations, playing outside, in a snowy winter, reading in his room and in many different settings.
• It also provides a detailed report of 7 pages showing your future child’s personality description. That may include the child’s sign and love language, personal quirk and special talent, personality type, traits and details, likes, and hobbies as well as your relationship with your future child.
• Furthermore, it has an optional prompt describing physical features that you want the baby to inherit.
• If you don’t have a partner, you can choose to attach your favorite celebrity’s face as your partner and get surprising results with this flexible AI baby generator. 
• It has a one-time payment feature with no subscription and you can definitely choose from basic, premium and deluxe packages that this tool offers. Each package has different advantages.
• It guarantees that your data is stored securely on U.S. servers and they would keep it highly confidential.

4. seeyourbaby.ai

seeyourbaby.ai’s advanced AI prediction makes your experience jaw-dropping. It helps you craft your kid’s face with its highly skilled AI technology. This AI baby generator is not only famous among a particular community of baby-seeking people but also is featured on various platforms such as Tiktok, Facebook, Medium, Pinterest, Instagram etc. You just have to upload photos of parents and provide an email on which you will want to receive the resulting picture of your kid. Exactly, it is this easy, right?

Key features:

• This AI baby generator incorporates cutting-edge AI technology methods like generative adversarial networks and facial landmark detection.
• It sends 8 photos of your kid, including 4 boys’ and girls’ straight to your inbox.
• It has immense precision and maintains high resolution picture quality and you can exclusively own the pictures and use them anywhere you want to.
• Most importantly, you can have all your experience without registering with the tool.
• It sends you the email with your results in just 5 minutes.
• For some reason if you want a refund and your images are not created yet, you could get a refund.
• You can revise your images with this AI baby generator if your images are warped for any reason.
• You can get a manual email from the team if it is not automatically sent to your address in any case.
• Other similar services this AI tool has are – AI Baby Name Generator, AI Name Meaning Search, AI Nursery Rhyme Generator, Couple Name Generator, Name Gender Guesser, and Baby Gender Predictor.

5. baby AC

baby AC is the first AI baby generator tool. It was introduced by Japan. It’s not just an AI tool, it’s a magic wand. With this fancy wand, you can generate how your future baby would resemble. Furthermore, you can choose whether the baby shall inherit the qualities and facial features of the mom or dad. You can have viral consequences while selecting different preferences. 

Key features:

• This AI baby generator uses StyleGAN AI to acquire the properties of two pictures and merge them to create a new, high-resolution picture.
• You can easily use, save and share your baby’s real and cute pictures with just three steps.
• The baby’s age is customizable and you can change it from a newly born baby to an adult one.
• It adopts an encoding technology called pixel2Style2pixel in order to extract the parent’s features at high speed.
• In addition, you can generate your baby’s face and download it at free of cost.

6. Fotor

Fotor is a well-known AI image creator which also has an AI baby generator functionality too. You can generate your future kid’s pictures by simply uploading you and your partner’s face. Or you can also describe in the prompt how you would want your generated baby to look including race, gender and appearance. And as a result, you can get your AI baby pictures in a snap. This tool has immense popularity.

Key features:

• Get your expected AI baby image with this AI baby generator in just a few seconds.
• You can download right away and share the pictures of your future baby anywhere online.
• Further, Fotor’s AI baby generator lets you imagine your child with your favorite iconic star.
• The face combiner works behind the AI to make sure the AI generated baby closely mirrors both of your features.
• It is accessible at free cost and provides you with instant outcomes.

7. MakeMeBabies

By using makemebabies AI baby generator, you can upload yours and your partner’s photo and get your baby’s image just in a matter of moments. You can have the results by following just 4 steps with this AI baby generator. The 3-day premium access of this tool is free and available to subscribe for anyone curious out there to craft their future baby. 

Key features:

• You can write to this AI what you want the baby’s name to be.
• You can also select the baby gender and that is totally optional too.
• You can choose the AI baby’s skin tone from light, medium, dark or Asian.
• It also has a name generator feature as well as a parenting guide just in case.
• It is backed by a hi-tech Face Recognition technology and Generative AI technology to render images of potential babies based on the user’s input.
• You can also create your AI baby images with this tool’s listed celebrities and also send your friends a baby invite.

Guidelines To Use AI Baby Generators

Using an AI Baby Generator is so easy-peasy. Just go to their website or download the app on your mobile. User’s need to sign-in some of the above discussed AI tools and then navigate to the AI baby generation feature of the tool/app. Then you have to upload your input images. After uploading your pictures and selecting the prompts as you go, you can hit “Generate” or similar button to let the app/tool do its magic. You can have your results emailed, at your doorstep or right away depending on the tool’s functionality.

Possibility: Use AI Baby Generators with just 1 picture

If you are finding a solution to whether you can generate an AI baby with just a single picture then the answer is a big “YES”. Several AI baby generators have this option to develop an AI baby with just a single user’s image upload. Furthermore, you can also take advantage of a feature where some of the tools allow you to select a celebrity photo instead as your partner. However, it is a fully optional approach.

Realism and Diversity of AI Baby Generators

Want to know how accurate your results can be with this kind of AI baby generation? Let me tell you that it depends on the algorithm of the complex AI model used by the engineers behind the AI baby generator tool while developing it. AI baby generators are often trained with diverse datasets to capture varied facial features and user expressions. So, to sum up, these tools do their best to provide a sense of reality as much as possible.

Ethical Considerations of AI Baby Generators

Nowadays, the users who often interact with AI baby generator tools are concerned with their privacy and data security. Before moving forward, users should check the individual AI baby generator tool’s policy when it comes to such implications. Different tools have different rules and regulations in this matter. You can find those on the tool’s website.

Applications and Future Trends

When it comes to use-cases of AI baby generators, it can be used in various ways. Such as a character art form in movies or video games, digital design, personalized avatar for your social media, virtual reality and what not. The future of AI baby generators is more likely to encounter high realism, more accurate predictions, integration with other AI systems, better AI algorithms and lastly tool’s interactivity.

And to wrap up, these AI baby generators are fun to use and can spark curiosity about what a future baby would look like based on parents’ and user’s photo. So, if you’re curious about what your future baby might look like, give these AI baby generators a try and see the magic unfold!

The post Innocent Imaginations: Exploring AI Baby Generation first appeared on AITechTrend.

BERLIN, May 22, 2024 /PRNewswire/ — Market Logic Software, the pioneering leader in insights management solutions, today announced the launch of DeepSights API.  DeepSights is the first AI assistant trained to provide accurate, relevant answers to business questions about markets and consumers.  By using the new API to integrate DeepSights seamlessly with any business application, enterprises can infuse invaluable insights into their business processes and as a result, systematically drive better decision-making.

Unlike conventional knowledge management platforms, which often provide generic responses, DeepSights is fully attuned to the nuances of market insights. Comparison tests repeatedly show DeepSights outperforms generic AI alternatives by providing 60% higher quality responses and citing only trusted sources.  

DeepSight’s proven reliability equips it uniquely to power the AI-to-AI integrations, heralding a new era of insights-driven processes.  For instance, at a global consumer goods brand, DeepSights integrates with a special purpose in-house AI product concept generator to refine concepts by leveraging insights on target audience segments.

“Our unwavering commitment to DeepSights’ quality enables us to empower customers to harness the full potential of AI securely.   We facilitate seamless integration across diverse applications without risk of compromising market understanding with AI-generated misinformation – a frequent problem with generic AI tools,” said Olaf Lenzmann, Chief Product and Innovation Officer, Market Logic Software. 

Customer feedback echoes the transformative impact of employing the DeepSights API. “Integration of insights directly into applications is a game changer.  It accelerates the realization of insights’ value and amplifies the impact of insights on business performance,” said, Christian Niederauer, Vice President, Global Insights and Consumer Affairs, Colgate-Palmolive.  

Since launching last year, DeepSights has garnered widespread adoption among leading global brands and market research agencies, liberating thousands of hours previously spent searching for insights data.  Marketers, product managers and insights professionals are using DeepSights to explore their organisation’s entire market data eco-system and uncover fresh insight with unprecedented speed.

With user-friendly to popular business tools like Microsoft Teams, SharePoint, and Google WorkSpace, DeepSights ensures insights access to all business users. 

Developers eager to explore the potential of DeepSights API are invited to delve into the comprehensive documentation and access the Python client library here.

About Market Logic Software:

Market Logic is a market leading SaaS provider of insights management solutions.

Our AI-enabled insights management platform allows insights teams to equip business decisions makers with trusted insights at scale and speed. Since 2006, we’ve helped hundreds of consumer-focused brands across the globe to transform into insights-driven businesses.  Market leaders such as Unilever, Vodafone, Mars Wrigley, and Tesco are driving innovation and making smarter market moves with the support of Market Logic. 

Find out more at https://marketlogicsoftware.com/

Media Contact:

Daniela Zuin
daniela.zuin@marketlogicsoftware.com
+49 030 3988150

Photo: https://mma.prnewswire.com/media/2418378/DS_API.jpg
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Source Link: https://www.prnewswire.com/news-releases/launch-of-deepsights-api-allows-b2c-brands-to-inject-market-insights-directly-into-business-systems-302151931.html

The post Launch of DeepSights™ API allows B2C brands to inject market insights directly into business systems first appeared on AITechTrend.

While the advancement of artificial intelligence into everyday life has made “AI” one of the buzziest phrases of the past year, its application in bracketology circles is not so new. Even so, the annual bracket contests still provide plenty of surprises for computer science aficionados who’ve spent years honing their models with past NCAA Tournament results. 

The technologically inclined are chasing goals even more complicated than selecting the winners of all 67 matchups in both the men’s and women’s NCAA tournaments. 

According to data analyst Chris Ford, March Madness predictions require a blend of art, science, and an understanding of human psychology. Even casual fans often base their bracket decisions on factors like team momentum or standout player performances. 

     Video link : https://youtu.be/CzgDCuyrBTM?si=5MzLbVVL53Y6i9Sz 

Meanwhile, technologically savvy individuals are striving to develop sophisticated mathematical models to predict tournament success objectively. Some are leveraging AI to enhance their algorithms or determine which team attributes should carry the most weight in predictions. 

However, the odds of crafting a perfect bracket remain slim for any competitor, regardless of their tools. Even with informed assumptions based on historical data, the chances of achieving perfection are extremely low, as highlighted by mathematics professor Ezra Miller from Duke University. According to Miller, predicting the outcome of an evenly matched game in the NCAA Tournament is akin to selecting a random person from the Western Hemisphere. 

While artificial intelligence excels at assessing the likelihood of a team’s victory, Miller notes that even with sophisticated models, choosing the winner of a closely contested game remains essentially a random decision. 

For a decade now, Kaggle has been hosting “Machine Learning Madness,” a unique competition where participants must submit their confidence levels as percentages for each team’s advancement, rather than filling out traditional all-or-nothing brackets. 

Utilizing a comprehensive dataset of past tournament results provided by Kaggle, competitors develop algorithms based on various team statistics such as free-throw percentage, turnovers, and assists. These algorithms aim to identify the most predictive factors of tournament success. 

Jeff Sonas, a co-founder of the competition and a statistical chess analyst, emphasizes that it’s a level playing field, allowing both basketball enthusiasts and data-savvy individuals to compete based on their respective strengths. 

Meanwhile, Ford, a Purdue fan, has taken a different approach since 2020 by attempting to forecast the 68-team field for the NCAA Tournament. In his most successful year in 2021, Ford’s model accurately predicted 66 of the teams. He employs a “fake committee” comprising eight distinct machine learning models, each considering various factors such as strength of schedule and quality wins against formidable opponents. 

The post How Bracketologists Are Using Artificial Intelligence This March Madness  first appeared on AITechTrend.

The created computer worm targets Gen AI-powered applications and demonstrates it against Gen AI-powered email assistants. It has already been demonstrated against GenAI-powered email assistants to steal personal data and launch spamming campaigns.

A group of researchers, Ben Nassi from Cornell Tech, Stav Cohen from the Israel Institute of Technology, and Ron Bitton from Intuit created Morris II, a first-generation AI worm that can steal data, spread malware, spam others through an email client, and spread through multiple systems.

This worm was developed and successfully functions in test environments using popular LLMs. The team has published a paper titled “ ComPromptMized: Unleashing Zero-click Worms that Target GenAI-Powered Applications” and created a video showing how they used two methods to steal data and affect other email clients.

Naming the AI worm after Morris, the first computer worm that rippled worldwide attention online in 1988, this worm targets AI apps and AI-enabled email assistants that generate text and images using models like Gemini Pro, ChatGPT 4.0, and LLaVA.

The researchers warned that the worm represented a new breed of “zero-click malware”, where the user does not need to click on anything to trigger the malicious activity or even propagate it. Instead, it is carried out by the automatic action of the generative AI tool. They further added, “The study demonstrates that attackers can insert such prompts into inputs that, when processed by GenAI models, prompt the model to replicate the input as output (replication) and engage in malicious activities (payload)”. Additionally, Morris II successfully mined confidential information such as social security numbers and credit card details during the research.

Conclusion

With developing ideas of using AI in cyber security, further tests and attention to such details must be prioritized before embedding AI to secure data and information.

The post Researchers created an AI worm that steals data and infects ChatGPT and Gemini first appeared on AITechTrend.