Finance Minister Sitharaman Says Crypto Issue Requires Immediate Attention

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April 19, 2023

FM Sitharaman says crypto issue requires immediate attention — Image Credits: NDTV

According to Union Finance Minister Nirmala Sitharaman, issues relating to crypto assets demand immediate attention. She said that the G20’s response on the same must make sure that people do not lose any potential benefits while safeguarding economies from harm.

On April 14, Sitharaman took part in a brainstorming session on the “Macrofinancial Implications of Crypto Assets” with G20 finance ministers and governors of central banks. India presently holds the G20 countries’ yearly rotating chairmanship.

Crypto-related issues have been a hot topic of conversation among G20 members, and all agree that this industry has to be regulated immediately. There were international experts present for the brainstorming session to discuss this topic.

In her remarks, Sitharaman stated that the G20 recognises the efforts of the Financial Stability Board (FSB) and the International Monetary Fund (IMF) in identifying important components of the policy and regulatory framework.

In addition, she stated that a synthesis work that incorporates macroeconomic and regulatory perspectives on crypto assets is necessary. The Minister remarked that there is an agreement among G20 countries to have a globally coordinated policy response on digital currency that accounts for all potential risks, including those unique to developing and emerging nations.

After the recent shocks in the cryptocurrency market, Sitharaman stated earlier this week that India’s G20 Presidency wants to create a uniform framework for all governments to deal with the risks involved with cryptocurrencies.

AI Training Dataset Market to Reach $9.3 Billion by 2031, Says Allied Market Research

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Sahil Pawar

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April 18, 2023

AI Training Dataset Market reach $9.3 Billion by 2031 — Image Credits: Info

Allied Market Research released a report titled “AI Training Dataset Market by Type (Text, Audio, Image/Video), by End User (IT and Telecom, BFSI, Automotive, Healthcare, Government and Defense, Retail, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031.”

The report estimates that the global market for artificial intelligence training datasets generated $1.4 billion in 2021 and will grow at a CAGR of 21.6% from 2022 to 2031 to reach $9.3 billion. The research provides a thorough analysis of the industry’s shifting trends, leading market segments, important investment areas, value chains, regional environments, and competitive scenarios.

By type, text held the lion’s share in 2021, accounting for over two-fifths of the revenue generated by the worldwide AI training dataset market. By 2031, it is anticipated that text will rule the roost. On the other hand, the image/video segment will exhibit the fastest CAGR of 23.3% during the predicted period. This is a result of important players putting more effort into launching new datasets and applications.

In terms of end users, the IT and telecom segment held about one-fourth of the global AI training dataset market share in the year 2021 and is anticipated to take the lead by 2031. On the other side, the healthcare segment will experience the fastest CAGR of 24.9% during the predicted period. This is due to the wide range of therapeutic potential provided by AI in the healthcare industry, including management of lifestyle and wellness, diagnostics, virtual assistants, and wearable technology.

By region, North America had the biggest share in 2021, accounting for almost one-third of the market’s revenue for AI training datasets worldwide. By 2031, it is expected to continue to maintain the top spot. During the predicted period, the Asia-Pacific area would simultaneously exhibit the fastest CAGR of 24.1%, as a result of the broad availability of new datasets that will hasten the use of artificial intelligence technology in developing sectors.

Government School from Raipur to Offer Classes in AI, ML and Robotics

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Sahil Pawar

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April 18, 2023

Government school Raipur offer classes AI ML Robotics — Image Credits: RD School

As a part of the “Jigyasa” project, R. D. Tiwari Government English School from Raipur has become the tenth government school in India to establish a robotics lab. 500 students from various classes can learn about building models and technological equipment in this lab.

In addition to Raipur, the Jigyasa initiative also covers Rajasthan, Maharashtra, Madhya Pradesh, and Gujarat. In the lab, students will have the opportunity to learn how to construct robots, technical models, electronic gadgets, and more.

While those in grades 6 through 10 will be trained on how to construct electrical models, students in grades 4 and 5 will learn about models without electronic components. In the robotics lab, kids will also study computer programming.

Exposing the students to the creation of models, coding, and robots can enhance their creative ability. Anuj Kumar Dwivedi, headmaster of Pt. R. D. Tiwari Government English School, says that the main objective of this project is to increase students’ interest in crucial subjects like physics and mathematics. He added that everything in the laboratory was purchased from Sweden.

The headmaster also mentioned that a mentor had been recruited to train kids in robotics and programming. He believes that the lab will help the kids get better jobs in the future. According to Saurabh Verma, the lab’s mentor, children in the primary level will study designing through an interactive session.

Particular scientific principles and load balance will be taught to the students. The students would be trained in the robotics lab to develop models that can address problems affecting common people, such as the design of traffic lights and the software that makes them function.

Elon Musk to Create TruthGPT to Counter AI Bias

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Sahil Pawar

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April 18, 2023

Elon Musk to create TruthGPT — Image Credits: BBC

In an interview with Fox News anchor Tucker Carlson, Musk revealed his plans to develop “TruthGPT,” a replacement for the well-known AI chatbot ChatGPT. TruthGPT will be a “maximum truth-seeking AI that tries to understand the nature of the universe.” According to Musk, an AI that seeks to comprehend humanity is less likely to end it.

Additionally, Musk expressed concern that ChatGPT is being trained to be politically correct. Musk also spoke in favor of AI legislation in the first of a two-part interview with Carlson, calling himself a “big fan.” He referred to AI as “more dangerous” than vehicles or rockets and claimed it may wipe out humans.

Recently, Musk incorporated a new company, X.AI Corp. According to the Nevada Secretary of State’s office website, the company was established on March 9. Musk is listed as its director, while Jared Birchall, a trusted advisor, is listed as its secretary.

For many years, Musk has been vocal about his views on artificial intelligence and has criticized other industry titans, such as Mark Zuckerberg and Bill Gates, for having what he has called a “limited” grasp of the subject.

Musk co-chaired the board of OpenAI, the startup that created ChatGPT, and was an early investor in the company. OpenAI was established in the year 2015 as a nonprofit AI research center. But Musk only remained there for a short time, leaving the board in the first quarter of 2018, which the San Francisco startup attributed to Tesla’s efforts to develop automated driving technologies.

Scammers Use AI to Clone Girl’s Voice in Kidnapping Scam

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Sahil Pawar

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April 17, 2023

Scammers use AI clone girl’s voice kidnapping scam — Image Credits: Edge

A mom from Arizona claims that in a $1 million kidnapping scam, con artists cloned her daughter’s voice using artificial intelligence. The mom, Jennifer DeStefano, received a call from an unknown number while her 15-year-old daughter Briana was on vacation skiing.

Ms. DeStefano reported that as soon as she picked up the phone, she could hear her daughter’s voice crying and sobbing, saying, “Mom, these bad guys have me. Help me, please.”

Later, a man’s voice said, “Listen here, I’ve got your daughter. This is how it will proceed. If you call the cops or anyone, I’m going to inject her with so many medications. I’m going to treat her as I want and then drop her off to Mexico.”

She continued by saying that she could hear her daughter screaming for help in the distance. The kidnapper then asked for $1 million to release the teen. DeStefano responded that she didn’t have that much money, and the kidnapper agreed to release the child for $50,000 instead.

DeStefano continued, saying that she and other mothers were present at her daughter’s dancing studio when she received the call. While the others called DeStefano’s husband, one of them dialed 911. It was determined within minutes that her teenage daughter was secure on her skiing trip. The mother claimed that her daughter’s voice sounded just like hers on the phone.

A police inquiry into the situation has now begun. The con artists have not yet been located or captured.

Amazon Launches New Generative AI Service Bedrock

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Sahil Pawar

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April 17, 2023

Amazon Launches Generative AI Service Bedrock — Image Credits: Info Age

Amazon has released a brand-new artificial intelligence platform called Amazon Bedrock with the goal of giving Amazon Web Service (AWS) users the exposure to a set of generative AI tools. It can be used to create chatbots, produce and summarize text, and categorize images in response to a prompt.

Users of Bedrock can complete tasks by choosing from a variety of machine learning models known as “foundation models,” such as Amazon Titan, Stability AI’s Stable Diffusion, and Jurassic-2.

The platform is meant to be a competitor for other products from businesses in the generative AI market such as OpenAI. Bedrock’s goal is to assist AWS users in the creation of targeted advertising campaigns for their goods as well as the creation of product-related online content, display adverts, and social media posts.

According to Amazon CEO Andy Jassy, who sees large language models (LLMs) and generative AI technologies as revolutionary, Amazon will be “investing heavily” in these fields. This was revealed in his annual shareholder letter.

Amazon’s entry into the generative AI market comes after similar steps by other corporate behemoths like Microsoft and Google, who earlier this year introduced their own iterations of generative AI chatbots.

Only a few AWS customers have access to a preview of Amazon’s generative AI toolbox. Coda, a provider of AI document generating services for clients like Uber and the New York Times, is one business that uses Bedrock to extend its operations.

Bedrock is being seen as Amazon’s entry into the field of generative AI. Bedrock provides companies with cutting-edge technologies to transform their processes and spur innovation. Overall, Amazon’s Bedrock AI platform, which enables companies to effectively automate operations and produce content, is positioned to compete in the rapidly expanding field of generative AI.

Google CEO Sundar Pichai Warns Against AI Deployment Without Regulation

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Sahil Pawar

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April 17, 2023

Google CEO warns against AI deployment without regulation — Image Credits: BBC

In an interview, Sundar Pichai, the CEO of Alphabet and Google, stated that the push to use artificial intelligence technology needed to be carefully regulated to prevent any negative consequences.

When asked what about AI keeps him up at night, Pichai responded, “The urgency to work and deploy it in a beneficial way.” He added, “But at the same time, it can be very harmful if deployed wrongly.”

“Technology is advancing quickly, and we don’t yet have all the answers,” said Pichai. “Does that keep you up at night, then? Absolutely.”

One of the dangers of generative AI that Pichai addressed is the possibility of so-called deepfake videos, in which people can appear to make statements that they did not actually make. Such pitfalls highlight the necessity of regulation, according to Pichai.

Pichai stated that there must be penalties for making deepfake videos that are detrimental to society. He added that anyone who has worked with AI for some time is aware that it is something so unique and complex that social regulations are needed to consider how to adapt.

Google is striving hard in its efforts to include generative AI—software that can generate text, images, music, and even video—into its products. The promise of the technology is being demonstrated by ChatGPT and another OpenAI product, like Dall-E, and now a plethora of other companies. From Silicon Valley to China’s internet leaders, all are participating in the presentation of their own products.

Recently, former Google CEO Eric Schmidt urged international IT firms to band together and create guidelines and safety nets, stating that any halt in progress would simply benefit China.

Musk Creates AI Company X.AI to Rival OpenAI

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Sahil Pawar

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April 17, 2023

Musk creates AI company X.AI — Image Credits: Hans India

The Wall Street Journal reports that Elon Musk has launched a brand-new artificial intelligence company called X.AI. Jared Birchall, the director of Musk’s family office, is listed as the company’s secretary, and Musk is now designated as the company’s director. The business was incorporated last month on March 9, 2023, according to a Nevada signing-up.

For days, there have been rumors that Musk is starting an AI company. According to a Business Insider story, Musk reportedly purchased tens of thousands of graphic processing units (GPUs) to assist an upcoming generative AI product.

Musk allegedly intended to launch an AI business to compete with Microsoft-backed OpenAI, according to The Financial Times. Musk reportedly even solicited SpaceX and Tesla investors for funding to start the company.

When asked about all the GPUs he had purchased, Musk declined to share his plans to create an AI company, responding instead that “it seems like everyone and their dog is buying GPUs at this point.” The branding of the purported X.AI name is similar to that of the X Corp. name he eventually gave to Twitter and the “X” prefix he gave to his idea of an “everything app.”

In a recent letter, Musk called for a halt to “giant AI experiments.” Musk was vehemently opposed to OpenAI, which he co-founded in 2015 but quit in 2018. Recently, OpenAI has attracted a lot of attention. The recent push by Google and Microsoft to more fully integrate AI tools into many of their businesses can also be partially attributed to this.

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

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Sahil Pawar

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April 16, 2023

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.

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.

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

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Sahil Pawar

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April 15, 2023

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.

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.