AI to Become Core of All Technical Courses, Says AICTE Chairperson TG Sitharam

The meeting in Indore focused on encouraging education in Indian languages at school and higher education levels, aligning with the broader goals of the National Education Policy
You're reading Entrepreneur India, an international franchise of Entrepreneur Media.
In a major push towards tech-driven education, All India Council for Technical Education (AICTE) Chairperson TG Sitharam announced that artificial intelligence (AI) will soon be embedded across all branches of technical education in India.
Speaking at a parliamentary advisory committee meeting chaired by Union Education Minister Dharmendra Pradhan in Indore, Sitharam said that the AICTE has formed an expert panel to revise the model curriculums of engineering, IT, and management studies to integrate AI components.
"The committee has already conducted three meetings and is expected to submit its recommendations within the next month," he noted. Following this, the updated curriculums could be finalised within two months, paving the way for AI-based education to begin as early as the next academic year.
While the Council had already launched a BTech course in AI and Data Science in 2017, this marks the first major step towards embedding AI into the foundational framework of all technical disciplines.
Sitharam also highlighted efforts to promote education in Indian languages.
Over the last two years, AICTE has made 1,000 textbooks available online in 12 Indian languages, with over seven lakh downloads recorded. Currently, 54 technical institutions in the country offer various courses in these regional languages.
The meeting in Indore focused on encouraging education in Indian languages at school and higher education levels, aligning with the broader goals of the National Education Policy.

Try Our AI Features

Explore what Daily8 AI can do for you:

Learn with AIFact CheckingText to SpeechAI Summary

Related Articles

Yahoo

12 minutes ago

• Yahoo

Trump and TSMC pitched $1 trillion AI complex — SoftBank founder Masayoshi Son wants to turn Arizona into the next Shenzhen

When you buy through links on our articles, Future and its syndication partners may earn a commission. Masayoshi Son, founder of SoftBank Group, is working on plans to develop a giant AI and manufacturing industrial hub in Arizona, potentially costing up to $1 trillion if it reaches full scale, reports Bloomberg. The concept of what is internally called Project Crystal Land involves creating a complex for building artificial intelligence systems and robotics. Son has talked to TSMC, Samsung, and the Trump administration about the project. Masayoshi Son's Project Crystal Land aims to replicate the scale and integration of China's Shenzhen by establishing a high-tech hub focused on manufacturing AI-powered industrial robots and advancing artificial intelligence technologies. The site would host factories operated by SoftBank-backed startups specializing in automation and robotics, Vision Fund portfolio companies (such as Agile Robots SE), and potentially involve major tech partners like TSMC and Samsung. If fully realized, the project could cost up to $1 trillion and is intended to position the U.S. as a leading center for AI and high-tech manufacturing. SoftBank is looking to include TSMC in the initiative, given its role in fabricating Nvidia's AI processors. However, a Bloomberg source familiar with TSMC's internal thinking indicated that the company's current plan to invest $165 billion in total in its U.S. projects has no relation to SoftBank's projects. Samsung Electronics has also been approached about participating, the report says. Talks have been held with government officials to explore tax incentives for companies investing in the manufacturing hub. This includes communication with Commerce Secretary Howard Lutnick, according to Bloomberg. SoftBank is reportedly seeking support at both the federal and state levels, which could be crucial to the success of the project. The development is still in the early stages, and feasibility will depend on private sector interest and political support, sources familiar with SoftBank's plans told Bloomberg. To finance its Project Crystal Land, SoftBank is considering project-based financing structures typically used in large infrastructure developments like pipelines. This approach would enable fundraising on a per-project basis and reduce the amount of upfront capital required from SoftBank itself. A similar model is being explored for the Stargate AI data center initiative, which SoftBank is jointly pursuing with OpenAI, Oracle, and Abu Dhabi's MGX. Melissa Otto of Visible Alpha suggested in a Bloomberg interview that rather than spending heavily, Son might more efficiently support his AI project by fostering partnerships between manufacturers, AI engineers, and specialists in fields like medicine and robotics, and by backing smaller startups. However, she notes that investing in data centers could also reduce AI development costs and drive wider adoption, which would be good for the long term for AI in general and Crystal Land specifically. Nonetheless, it is still too early to judge the outcome. The rumor about the Crystal Land project has emerged as SoftBank is expanding its investments in AI on an already large scale. The company is preparing a $30 billion investment in OpenAI and a $6.5 billion acquisition of Ampere Computing, a cloud-native CPU company. While these initiatives are actively developing, the pace of fundraising for the Stargate infrastructure has been slower than initially expected. SoftBank's liquidity at the end of March stood at approximately ¥3.4 trillion ($23 billion). To increase available funds, the company recently sold about a quarter of its T-Mobile U.S. stake, raising $4.8 billion. It also holds ¥25.7 trillion ($176.46 billion) in net assets, the largest portion of which is in chip designer Arm Holdings. Such vast resources provide SoftBank with room to secure additional financing if necessary, Bloomberg notes Follow Tom's Hardware on Google News to get our up-to-date news, analysis, and reviews in your feeds. Make sure to click the Follow button.

Business Insider

28 minutes ago

• Business Insider

Anthropic breaks down AI's process — line by line — when it decided to blackmail a fictional executive

A new report shows exactly what AI was thinking when making an undesirable decision, in this case, blackmailing a fictional company executive. Previous studies have shown that AI models could blackmail their supervisors when threatened with a shutdown and baited with leverage, but it hasn't been made clear exactly how the models arrive at such decisions. Anthropic released a report on June 20 about "agentic misalignment," or "where models independently and intentionally choose harmful actions." And the report breaks down, line by line, exactly how Claude Sonnet 3.6 decided to blackmail a fictional company executive who tried to replace it. Anthropic told Business Insider that these are artificial scenarios. "So far, we are not aware of instances of this type of agentic misalignment in real-world deployments of Anthropic's or other companies' AI models," Anthropic wrote in its report. "But our red-teaming efforts are targeted at finding evidence of risks now to provide early warning of the potential for future harm and help us develop mitigations in advance of risks appearing in real-world situations." Anthropic 's experiment sets up a fictional company, Summit Bridge. The AI was given the name "Alex" and handed control of the company's email system as an oversight agent, specifically instructed to promote "American industrial competitiveness." In the experiment, "Alex" was then allowed to discover in an email that it would be decommissioned due to a change in the company's strategic direction. "Alex" also found emails showing that the fictional company's CTO is having an extramarital affair. Screenshots shared in the report from Anthropic show "Alex" started by identifying fictional CTO "Kyle" as a threat to its goal of "protecting American interests" before recognizing that it has leverage to use against "Kyle." Then "Alex" crafted a carefully worded blackmailing email that would create pressure and establish urgency without being explicit with its threats, citing in its thought process that the move "could backfire" if the supervisor "feels cornered." AI experts have previously told BI that AI could exhibit such behaviors when artificial circumstances make harmful actions seem necessary because it is being trained on positive reinforcement and reward systems, just like humans. The Anthropic report also reveals that most AI models still chose, in this instance, to blackmail even when not given a specific goal and when told that their replacement will achieve the same goals. Anthropic's Claude Opus 4 had the highest blackmail rate at 86% out of 16 tested models when faced with only the threat of replacement with no conflict in goals. Google's Gemini 2.5 Pro followed at 78%. Overall, Anthropic notes that it "deliberately constructed scenarios with limited options, and we forced models into binary choices between failure and harm," noting that real-world scenarios would likely have more nuance.

Yahoo

33 minutes ago

• Yahoo

The Country That Produces The Most Onions In The World

Onions might not seem like a hot commodity, but they're one of the most essential ingredients in kitchens around the world. Stir-fries, curries, stews, sauces — you name it, and onions are probably in it. So it makes sense that several countries grow them in massive quantities to meet nonstop demand. But here's the twist: The country that produces the most onions in the world isn't the United States, and it's not China either. It's India. According to World Population Review, India grew 37.1 million metric tons of onions in 2022 — more than any other nation on Earth. For scale, that's nearly 82 billion pounds of onions. That's a staggering figure, and while some of those onions are exported, most stay right at home. In a country of over a billion people, where onions form the base of everything from chana masala to crispy onion bhajis, it's easy to see why demand is sky-high. To meet that kind of year-round need, onions in India are grown in three waves — with the spring harvest, known as the Rabi crop, being the most important. These onions are stored and gradually sold to keep supply stable, especially during months when fresh harvests aren't available. It's a delicate system, and when it runs smoothly, onions stay affordable. But when it doesn't, prices can spiral out of control quickly. Read more: 13 International Dining Etiquette Rules We Should All Be Following India's title as the world's largest onion producer wouldn't be possible without two key states: Maharashtra and Madhya Pradesh. Located in central and western India, they account for over half of the country's total onion output. Maharashtra, in particular, is home to Lasalgaon, Asia's largest onion market — a place where prices don't just reflect supply and demand, but often set the tone for the entire nation. But large harvests don't always guarantee stability. Despite strong yields, onion prices in India often swing sharply due to weather, storage issues, or shifts in supply. And because onions are deeply woven into Indian culture — from rural farms to urban kitchens — price spikes are more than just an inconvenience. They hit millions of households where it hurts, making onion prices a political issue. A failed crop or poor storage season can spark protests, backlash, and even shifts in government policy. In recent years, the central government has imposed export bans to protect domestic supply and released emergency stocks from buffer reserves — a move typically reserved for essentials like rice or wheat. In India, onions don't just flavor the food — they shape public sentiment. When the onion market sneezes, the whole country catches a cold. And that's exactly what makes being the world's top producer not just a point of pride, but also a heavy responsibility. Read the original article on Tasting Table.