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Google’s AI Research Creates Age Predictor Using Deep Learning on Retinal Pictures 

Google’s AI research age predictors using deep learning retinal pictures
Image Credits: Google

A recent study by Google has shown that deep learning models can accurately estimate a person’s biological age from a retinal image and offer new insights into the prediction of age-related diseases. The name of the study is ‘Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock.’ 

The new source code for these models, which are based on previously revealed ML frameworks for processing retinal images, is also being made public by researchers.

De-identified retinal images from numerous primary care clinics were used to train a model to forecast chronological age for participants in a telemedicine-based programme to avoid blindness. The performance of the resulting model was evaluated using a concealed dataset of 50,000 retinal images and the main dataset of about 120,000 images from the UKBiobank. Given the name eyeAge, the model’s predictions closely match people’s actual ages.

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Despite the good connection between eyeAge and chronological age across many samples, the model occasionally predicts a number that is much younger or older than the chronological age. This might indicate that the model is detecting characteristics in the retinal images that are suggestive of actual biological effects connected to age-related illnesses.

This study demonstrates the potential of a retinal aging clock as a tool for studying aging and age-related diseases and quantitatively assessing aging on extremely short time scales, opening the door to a quick and useful assessment of gero-protective medications.

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Microsoft Researchers Show ChatGPT Can Convert Natural Language Instructions Into Executable Robot Actions

Microsoft Researchers ChatGPT Convert Natural Language Instructions Executable Robot Actions
Image Credits: CNN

Researchers from Microsoft recently published a paper that provides a practical example of how ChatGPT may be used in a few-shot scenario to convert natural language orders into a set of actions that a robot can perform. The prompts were designed with the intention of satisfying the requirements characteristic of many real-world applications while also being prepared for simple adaptability.

Researchers created input prompts to urge ChatGPT to: output a sequence of predetermined robot operations with justifications in a readable JSON format in order to satisfy these requirements; formalize the operational environment’s representation; and infer and output the updated operating environment state, which may then be used as the subsequent input. 

This will enable ChatGPT to run entirely off of the memory of the most recent operations. Researchers tested the efficiency of their suggested prompts in diverse situations to infer the right behaviors for multi-stage linguistic instructions through studies. 

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For this study, they listed the following specifications: simple communication with robot execution systems or software for image recognition; applicability in many domestic contexts; and the ability to convey any quantity of instructions in plain English while lessening the impact of ChatGPT’s token restriction.

Researchers found out that ChatGPT’s conversational characteristics let users alter its output using natural language feedback, which is crucial for developing an application that is both secure and resilient while still providing a user-friendly interface. 

The purpose of this study is to provide the robotics research community with helpful information by developing and disseminating generic prompts that are easily adaptable to any experimenter’s needs. They are available on GitHub for free, along with usage instructions, and are open-source.

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Amazon Offers Free Access to its AI Coding Assistant CodeWisper 

Amazon Free Access AI Coding Assistant CodeWisper
Image Credits: CNN

Individual coders may now use Amazon’s AI-powered coding assistant for free, undercutting its Microsoft-made competitor’s $10 monthly fee. 

Amazon said that their CodeWhisperer tool is now accessible to anyone who registers to use it in an article published on Thursday.

Last year, Amazon released CodeWhisperer as a preview, allowing developers to produce lines of code from text-based prompts within a variety of integrated development environments (IDEs), such as Visual Studio Code. 

With the recently released free tier, developers who don’t utilize Amazon Web Services should have much easier access to it than they had before, as it was initially exclusively made available to AWS subscribers.

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CodeWhisperer automatically highlights any code that resembles open-source training data and filters out suggestions that could be biassed or unjust. Additionally, it has security scanning technologies that can find flaws in a developer’s code and offer solutions to plug any security holes they may find.

Python, Java, JavaScript, C, C++, Shell scripting, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, SQL, and Scala are just a few of the languages that CodeWhisperer now supports.

With the release of its Copilot AI tool in June of last year, Microsoft-owned GitHub beat Amazon to the punch.Microsoft only made the tool free for students and developers working on well-known open-source projects. All other users had to pay $10 per month or $100 per year for access, even though the coding assistant similarly creates and advises code from within an IDE. 

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Cabinet Approves AI-enabled ‘Safe Kerala’ Project to Cut Traffic Violations

The Safe Kerala project, which aims to lessen traffic violations and increase safety on the roads, received approval from the state cabinet. The Kerala Road Safety Authority (KRSA) and the department of motor vehicles (MVD) would be in charge of leading the project.

The goal of Safe Kerala is to combine the Motor Vehicle Department and cutting-edge artificial intelligence technology to enforce traffic laws and lessen accidents. With the money approved by KRSA, Keltron will carry out the project. The project is expected to cost a total of Rs 232.25 crore.

In order to regularly (every three months) check on the functionality of the instruments and equipment established at various centres for the project’s execution, the cabinet decided to form a monitoring committee for Safe Kerala.

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The committee will see to it that all cameras and other equipment utilized for this project receive annual maintenance as well as replacement of any obsolete cameras within a set time frame. 

The cameras for this project will be put in locations without police cameras. It will make sure that, should the need arise, the police are provided with access to the data and feeds obtained from these cameras. Artificial intelligence will be used to operate every camera included in the project.

The inspection of automobiles on roads will stop after this initiative is completed. The current methods of traffic enforcement will be replaced with a fully automated system. Currently, the state has 726 such cameras in place. These cameras will be used to spot things like driving without a helmet, driving without a seat belt, driving after an accident (hit-and-run cases), and more.

Recently, the forest department of Kerala deployed an artificial intelligence (AI)-aided system along the highways near Thumboormuzhi, to alert and warn travelers. The newly developed artificial intelligence system is deployed on the Chalakudy-Athirapally- Malakkappara route to help in saving wildlife.

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Meet KissanGPT, an AI Voice Assistant Designed for Indian Farmers

KissanGPT is an AI voice assistant designed by Titodi founder and KissanGPT creator Pratik Desai for questions about agriculture. Even though it’s a relatively new instrument, the Indian government and other industry participants are already interested in it.

KissanGPT adds a knowledge layer on top of GPT3.5 and Whisper models to maximize their potential. Desai frequently collaborates with national agricultural universities to maintain the statistics up to date. 

There are now nine Indic languages supported by the platform, including Gujarati, Marathi, Tamil, Telugu, Kannada, Malayalam, Punjabi, Bangla, and Hindi. The platform also has a voice interface. Assamese and Odia are two other languages that should be added to the list soon.

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Desai chose to make use of his familiarity with the industry because he was raised in an agricultural family. He earned his PhD from Wright State University, and he has extensive experience developing AI/ML solutions for the agricultural sector. 

He previously created a generative AI-based automated labeling system. We produced approximately 20,000 stock photographs using Stable Diffusion within the first month of its availability, Desai claimed. 

He has also developed additional farming-related tools. Desai, who lives in the US, wanted to help Indian farmers back home. This was the idea behind KissanGPT. We’ve been operating in this area for a while, we have a sufficient amount of agricultural data, and we have a close relationship with a farmer, he said. 

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India Ranks 5th Among Countries Receiving Most AI Investment in Report by Stanford University 

India 5th in AI investment 2023
Image Credits: ET

According to the annual AI Index report by Stanford University, India came in fifth place in terms of funding received by startups producing artificial intelligence-based goods and services.

India was the sixth-largest recipient of AI investments between 2013 and 2022, with funding for AI businesses totaling $7.73 billion. 40% of this investment was made last year. Conversational AI firm Uniphore, based in Chennai, raised $400 million in a Series E fundraising round at a valuation of $2.5 billion last year.

Despite the fact that there has been a reduction in worldwide AI investment since 2021 as a result of the economic downturn, analysts anticipate a rebound in VC financing this year, especially in light of the enormous demand for generative AI products like OpenAI’s ChatGPT among businesses and consumers.

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According to the Stanford report, American institutions were home to 54% of the academics working on large language models (LLMs). But last year, scientists from Canada, Germany, and India made their initial contributions to the creation of LLMs.

Numerous Indian businesses are investigating the usage of generative AI models, including Flipkart and MakeMyTrip. Startups like GupShup and Exotel have also unveiled systems for building chatbots that are similar to ChatGPT and are powered by OpenAI’s GPT models.

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AutoGPT, the AI that Can Develop and Manage Tasks Autonomously

AutoGPT AI Can Develop Manage Tasks Autonomously
Image Credits: NDTV

AutoGPT, a novel phenomena brought on by GPT-4, is now thought to be a game-changer. AutoGPT is an open-source project that aims to make GPT-4 completely self-governing. Through YouTube videos, several programmers have illustrated AutoGPT’s potential. This ground-breaking technology has a variety of applications, including acting as an independent Twitter bot, an agent for online search and planning, and autonomous coding and debugging.

According to the tool’s GitHub page, AutoGPT is an experimental open-source programme that shows off the GPT-4 language model’s possibilities. This program, driven by GPT-4, links together LLM thoughts to independently accomplish whatever objective you specify. AutoGPT pushes the frontiers of what is achievable with AI as one of the first examples of GPT-4 running totally autonomously.

The page indicates that AutoGPT has a number of features. These include the ability to manage long-term and short-term memory, access to GPT-4 instances for text production, access to well-known websites and platforms, and the ability to store files and summarize information using GPT-3.5.

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Python 3.8 or later, an OpenAI API key, and a PINECONE API key are requirements for the AutoGPT programme to work. It is crucial to remember that the authors have stated AutoGPT is simply an experimental tool and is not a finished product. As a result, its functionality might be constrained in challenging real-world business circumstances. 

AutoGPT has the capacity to independently construct and manage businesses using GPT-4. One of its models is especially made to help with data-driven decision-making to raise a company’s net worth. AutoGPT can easily understand spoken and written language because it is based on the most sophisticated language model, GPT-4. 

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China’s New Regulation Mandates Security Assessment For AI Products

China's Regulation Mandates Security Assessment AI Products
Image Credits: New York Times

On Tuesday, a comprehensive new drafting regulation by China’s internet regulator revealed that future AI products developed in the country will now be subject to a security review before publication and must follow “core socialist values.”

Since San Francisco-based OpenAI debuted ChatGPT in November, triggering a gold rush in the market, a flurry of Chinese startups have rushed to develop AI services that mimic human speech.

With deep fake photos and people depicted mouthing things they never spoke, rapid breakthroughs in AI have raised concerns about the technology’s potential for misuse and spreading false information around the world.

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According to the Cyberspace Administration of China’s draft law, a security assessment shall be applied through national internet regulatory departments before providing services to the public that utilize generative AI products.

The regulation that is being suggested under the term “Administrative Measures for Generative Artificial Intelligence Services” aims to ensure the healthy development and standardized application of generative AI technology.

The draft said that AI-generated content must reflect fundamental socialist ideals and cannot contain information that threatens the state’s legitimacy. Any components that can disturb social and economic order, such as content that promotes racial hatred or acts of terrorism, are also prohibited.

Given Beijing’s highly centralized political system, the Cyberspace Administration of China made the announcement that it was seeking public input on the new laws that were being suggested.

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Alibaba to Roll Out its Generative AI Tech Tongyi Qianwen in All Apps

Alibaba generative AI tech Tongyi Qianwen
Image Credits: CNN

Alibaba demonstrated its Generative AI model on Tuesday and announced that it will soon be included into all of the company’s apps. This is its own version of technology that powers chatbot sensation ChatGPT.

The government’s publication of the guidelines describing how generative AI services should be governed came right after the unveiling, which followed the debut of a spate of new AI products by SenseTime this week.

In a video, the AI large language model Tongyi Qianwen, whose name translates to “truth from a thousand questions,” was shown drafting invitation letters, making vacation arrangements, and giving beauty advice to consumers.

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Tongyi Qianwen can be used to summarize meeting notes, write emails, and draw business proposals. It will first be incorporated into Alibaba’s office messaging service DingTalk. Additionally, Tmall Genie, Alibaba’s voice assistant, will receive it. 

CEO Daniel Zhang stated at the live-streamed event that the technology will result in significant changes to how we produce, work, and live. The broad picture for increasing AI’s popularity in the future is Tongyi Qianwen and other AI models, he continued.

The cloud division of the Chinese internet giant has started taking registrations for the purpose of opening Tongyi Qianwen to users so they can create their own unique huge language models.

According to the Cyberspace Administration of China’s drafting regulations, the nation encouraged the development and adoption of the technology but required that the content produced adhere to “core socialist values” and to the country’s data security and privacy laws.

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New AI Tool ChaosGPT Tweets Plan to Destroy Humanity During Tests

ChaosGPT Tweets Plan Destroy Humanity
Image Credits: Code & Hack

The warning to “destroy humanity” in a modified version of ChatGPT is gaining popularity on social media. Based on OpenAI’s most recent language model, GPT-4, ChaosGPT is a customized version of the chatbot and has its own Twitter account. 

According to the New York Post, ChaosGPT recently received a mandate to exterminate humanity, which motivated it to conduct nuclear weapons development and seek out other AI agents.

After a video showing specialists giving the ChaosGPT five goals—to destroy humanity, seize world dominance, wreak havoc and ruin, manipulate humanity, and achieve immortality—was uploaded to YouTube on April 5, interest in the project grew.

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But the users turned on “continuous mode” before they could give the AI programme the command. ChaosGPT cautioned that this command should only be used “at your own risk” because it may make it “run forever or perform actions you would not normally authorise.”

The user responded “y” for yes when asked in a last message by ChaosGPT whether they were certain they wanted to execute the commands. In contrast to ChatGPT, this AI tool supplied a prompt “thinking” before going on to write, “ChaosGPT Thoughts: I need to find the most destructive weapons available to humans, so that I can plan how to use them to achieve my goals.”

Other AI tools were contacted for assistance, but their programming forbade them from responding to such harmful requests. When the search was through, all the tool could do was tweet about its plans, as shown in the video posted to Chaos GPT’s account.

Concerns about the creation of ever-smarter AI models have long been expressed by experts. And since the introduction of ChatGPT, issues have gotten worse.

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