Stock Alert: Popular Vehicle & Services, Kaynes Tech, Man Infra, HCL Tech
Securities in F&O Ban:Aditya Birla Fashion & Retail (ABFRL), Indian Renewable Energy Development Agency (IREDA), RBL Bank, Hindustan Copper and Chambal Fertilisers & Chemicals shares are banned from F&O trading on 11 June 2025. Stocks to Watch:Popular Vehicles and Services received a Letters of Intent (LOI) from Maruti Suzuki India to establish a new independent true value outlet for pre-owned vehicles in Bangalore, Karnataka.Kaynes Technology Indias wholly owned subsidiary, Kaynes Semicon has entered into an asset purchase agreement with Fujitsu General Electronics (Fujitsu Electronics) to acquire production lines for power modules.Anant Rajs board approved the re-appointment of Amit Sarin as managing director, Aman Sarin as chief executive officer (CEO) and Ashim Sarin as chief operating officer (COO) for the five years with effect from 1 January 2026 Man Infraconstruction agreed to acquire 36.07% stake in its wholly owned subsidiary, Man Realtors and Holdings (MRHPL) at Rs 215 per share. The company holds 63.93% stake in the MRHPL.HCL Technologies announced an expansion of its partnership with Standard Insurance Company to deliver AI-driven infrastructure and application services to boost efficiency, support rapid growth and enhance customer experience.Powered by Capital Market - Live News
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Hans India
2 hours ago
- Hans India
AI and its future: beyond the data-driven era
Artificial intelligence is the science of making machines do things that would require intelligence if done by humans — John McCarthy, who coined the term 'artificial intelligence' and is considered father of AI, said in 1955 Artificial Intelligence is the buzzword that's resonating across boardrooms, classrooms, and coffee shops these days. It is everywhere. From chatbots handling customer service to algorithms curating social media feeds, AI has become the in-thing of our time. Yet despite the widespread adoption and breathless headlines, we're still in the earliest stages of what AI can become. The current reality: data-driven intelligence Today's AI systems, impressive as they may seem, operate on a fundamental principle: processing vast amounts of data to recognize patterns and generate responses. These Large Language Models (LLMs) can write poetry, code software, and answer complex questions, but they're essentially sophisticated pattern-matching engines drawing from enormous datasets. Frankly speaking, what we're experiencing now is just the tip of the iceberg and we're still in the fetal stage of artificial intelligence evolution. However, the current data-driven approach has undeniably been disruptive. Industries from healthcare to finance have scrambled to integrate AI tools, leading to the ubiquitous presence of 'AI-powered' solutions. However, calling these systems true artificial intelligence may be premature - they lack the fundamental cognitive abilities that define genuine intelligence. The next frontier: Artificial General Intelligence The next phase in AI evolution promises something far more sophisticated: Artificial General Intelligence (AGI). Unlike current systems that excel in narrow domains, AGI will possess the ability to understand, learn, and apply intelligence across a broad range of tasks - much like human cognitive flexibility. The key differentiator lies in cognition. Where today's AI relies on statistical analysis of training data, AGI systems will develop the capacity for genuine reasoning and decision-making. This cognitive leap represents a fundamental shift from pattern recognition to actual thinking. AGI won't just process information faster or access more data - it will understand context, make inferences, and adapt to entirely new situations without requiring additional training. This represents a qualitative, not just quantitative, advancement in machine intelligence. The ultimate goal: Absolute Intelligence Beyond AGI lies an even more ambitious target: Absolute Intelligence. This final phase envisions AI systems with fully developed cognitive abilities - machines that can think, reason, and make decisions with the same depth and nuance as human consciousness, potentially surpassing human intellectual capabilities. Absolute Intelligence would mark the point where artificial systems achieve genuine understanding rather than sophisticated mimicry. These systems would possess creativity, intuition, and the ability to grapple with abstract concepts in ways that current AI cannot. Small Language Models: The Future Architecture Contrary to the current trend towards ever-larger models, the future may belong to Small Language Models (SLMs). These more efficient, specialized systems could prove more practical and powerful than their data-hungry predecessors. Small Language Models offer several advantages over massive LLMs: reduced computational requirements, faster processing, greater customization for specific tasks, and the ability to run locally rather than requiring cloud infrastructure. As AI becomes more integrated into daily life, these characteristics will prove increasingly valuable. The shift toward SLMs reflects a maturation of the field - moving from brute-force approaches that require enormous resources toward elegant, efficient solutions that deliver superior performance with less overhead. The Way Forward Rather than dwelling on dystopian scenarios, the AI revolution presents an opportunity to thoughtfully shape the next decade of technological development. The progression from today's data-driven systems through AGI to Absolute Intelligence won't happen overnight. However, the key lies in recognizing that we're not approaching an endpoint but rather embarking on a carefully planned journey. Each phase of AI development builds upon the previous one, creating opportunities to refine our approach, establish ethical frameworks, and ensure that artificial intelligence helps humans. As we stand at this inflection point, the question isn't whether AI will transform our world - it's how we'll guide that transformation. The next ten years will determine whether we harness these emerging capabilities to solve pressing global challenges, enhance human potential, and create a more prosperous future for all. The age of true artificial intelligence is still ahead of us. What we're witnessing today is merely the opening chapter of a much larger story - one that we have the power to write thoughtfully and purposefully. All said and done, the world needs a responsible AI that can enhance our quality of life in all spheres and spaces. That's the bottom line. (Krishna Kumar is a technology explorer & strategist based in Austin, Texas in the US. Rakshitha Reddy is AI developer based in Atlanta, US)
Economic Times
2 hours ago
- Economic Times
Retail Direct: RBI enables auto-bidding facility using NACH mandate for investing in T-Bills; Know how it will work
ET Online Retail Direct: RBI enables auto-bidding facility using NPCI NACH mandate for investing in T-Bills; Know how it will work The Reserve Bank of India (RBI) has enabled an auto-bidding facility for investing in treasury bills (T-bills) via both the RBI retail direct website and the app. This auto-bidding facility requires a valid NACH (National Automated Clearing House) mandate for executing the T-Bills order. With this additional facility, you can invest in T-bills by placing a conditional order that matches your requirements. It's similar to wanting to buy a stock at Rs 120 when the current market price is Rs 125. You would then put a conditional order saying that as soon as this stock's price drops to Rs 120, you will go ahead and buy it. The RBI said: 'This facility complements the existing manual bidding option, and allows you to set investment preferences, viz., T-bill tenor, bid amount, bidding frequency and validity period, by creating Auto-bid Rules that are executed automatically once the bidding window of the respective T-bill auction becomes active on the RD portal/App.' What are the key features of the auto-bidding facility? The RBI said that you should start by adding a bank account and setting up a NACH mandate. This way, when your conditional order (auto-bidding) is activated, the funds can be withdrawn from your bank account to complete the to the RBI, key features of the facility are: Auto-bidding is available only for T-bills and requires a valid NACH mandate. Types of Rules: 1. General Rule: Set the intended T-bill tenor, bid amount, bidding frequency, and period of rule validity. Bids will be auto-placed when the conditions are met. 2. Calendar Rule: Select specific T-bill auction/s from the Quarterly Calendar for Auction of T-bills and specify the bid amount. The rule is to be set before the commencement of bidding of the respective auction on the RD portal/App. The rules can be amended, paused or cancelled anytime. Auto-bid is funded through NACH mandate linked to your registered bank account in the Retail Direct. Sufficient balance in the registered bank account is needed for funding the Auto-bid. Email and SMS alerts are sent for Auto-bid Rule creation, amendment, cancellation, expiry, bid placement, etc. For T-bills investors, this auto-bidding feature means that they don't have to manually submit bids for T-Bills auctions. This can really cut down the time it takes to invest in T-Bills investment if the conditions of the conditional order are satisfied. Also read: Faster salary credit, SIP debit, EMI payment and more under new NACH 3.0 system by NPCI from July 2025, know more What are treasury bills? Treasury Bills (T-Bills) are money market instruments or short term debt instruments issued by the Government of India. At present, they are issued in three tenors -- 91 days, 182 days and 364 days. The Treasury Bills are zero coupon securities and pay no interest. Instead they are issued at a discount and redeemed at face value on example: a 91 day Treasury bill of Rs 100 (face value) may be issued at say Rs 98.2, that is, at a discount of Rs 1.9 and would be redeemed at the face value of Rs 100. The return to the investors is the difference between the maturity value or the face value (that is Rs 100) and the issue price). What are the day count conventions used in calculating bond yields? According to the RBI website, the day count convention is the method used to determine the holding period (in days) of a bond for calculating the accrued interest. Since using different day count conventions can lead to varying amounts of accrued interest, it is important for everyone in the market to follow a standard day count convention .For example, the conventions followed in the Indian market are as follows:Bond market: The day count convention followed is 30/360, which means that irrespective of the actual number of days in a month, the number of days in a month is taken as 30 and the number of days in a year is taken as market: The day count convention followed is actual/365, which means that the actual number of days in a month is taken for number of days (numerator) whereas the number of days in a year is taken as 365 days. Hence, in the case of T-Bills, which are essentially money market instruments, money market convention is followed.
New Indian Express
4 hours ago
- New Indian Express
They are here: The rise and rise of AI robots
You can spot them blinking away, triggering awe and curiosity. They enable check-ins at some airline counters at airports, roll across hotel reception areas offering welcome drinks, serve orders at restaurants. They are manning duties in warehouses, factories and logistics hubs. They are deployed at bars, aid doctors in surgery and first responders to triage. They are not yet ubiquitous, but there is no doubt that robots are here. The buzz is visible in headlines streaming live. Masayoshi Son is making a $1.3-trillion bet under Project Crystal Land alongside TSMC for building robots and AI hubs. Tesla is all set, finally, to unveil its Robotaxi in Austin, Texas. Nvidia and Foxconn are in talks to deploy humanoid robots at the Houston AI server plant. Amazon deploys AI-enabled robot Vulcan at its warehouses and plans to deploy delivery robots as part of a plan to automate $200 billion in logistics costs. A Chinese outfit has unveiled the first robotic hand combining tactile perception with complete motion capabilities. Hexagon launched Aeon, a humanoid designed for industry for autonomy, automated measurement systems and perception—and what's more, it can produce digital twins. Indian entities, too, are chasing productivity to expand the use of robotics for an array of businesses. Reliance-backed Addverb is launching humanoid robots to eliminate '3D jobs', ones that are dull, dirty and dangerous. Bengaluru-based Invento is developing Mitra robots for retail, hospitality and senior care. Kochi-based Asimov Robotics develops robots for high-risk settings. Hyderabad-based Svaya Robotics specialises in industrial robots for collaborative tasks in manufacturing and logistics. Bengaluru start-up Genobotics is the developer of Bandicoot robot which automates sewer cleaning. Kody from Ahmedabad is developing robots for surveillance, office services and industry. The term robot owes its etymology to the Czech word robota, which means forced labour, and was introduced in Czech author Karel Capek's 1921 science fiction play Rossum's Universal Robots. Robots made their cinematic debut in 1927 in Metropolis, a movie about a polarised society in a divided futuristic city. Popular passions, though, surfaced with the 2007 blockbuster Transformers about alien robots produced by toymakers Hasbro and Takara Tomy and Schwarzenegger starrer Terminator. A century after Capek's coinage, a combination of factors has spurred the creeping robot evolution to a tipping point. The blend of knowledge and technology has propelled investments.
