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Últimas Noticias de IA
Only 14% of Indian Companies Have Full Visibility Into AI Agents: Okta Research
Okta research shows most Indian organisations are preparing for AI-powered digital experiences, but only a small share have full visibility or control over AI agents operating in their systems.
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Anthropic Introduces Claude Science for End-to-End Scientific Research
Anthopic’s new platform helps researchers analyse data, generate scientific outputs, and manage large-scale computing jobs from a single interface.
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Keysight, WIN Semiconductors Launch Workflow for Faster RF Component Development
The companies will target component development for 5G, satellite and defence applications.
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SK, KKR Launch $1.3 Bn Renewable Energy Platform in South Korea
The new venture targets rising power demand from AI data centres and semiconductor manufacturing.
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Razorpay Partners With NPCI Bharat BillPay to Launch Banking Connect for NetBanking
The solution aims to simplify NetBanking for businesses and consumers, with support from banks including SBI, HDFC Bank and ICICI Bank.
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Genpact Launches AI Tool to Manage Deductions for Consumer Goods Companies
Genpact has introduced an AI-based solution built on Microsoft Azure to automate how consumer goods companies identify and resolve disputed deductions.
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MeitY Plans AI-Led Overhaul of Govt IT Systems, To Empanel 20 Tech Firms
The selected firms will be responsible for evaluating existing government applications.
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Your Next 2-Minute Drama May Have an AI Co-Director
As micro-dramas gain popularity, platforms like Story TV and JioHotstar are using AI to analyse scripts, create visuals, localise content, and better understand viewer behaviour.
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The ‘Father of the Internet’ is finally retiring
Vinton Cerf will step down from his role as Google’s chief internet evangelist next week, marking the conclusion of one of the most influential careers in technology history. While speaking via video feed at theOpen Frontier conferencehosted by the Laude Institute, Cerf was recognized by Dave Patterson, the UC Berkeley professor best known for co-developing RISC processor architecture. “Vint … has been at Google more than 20 years, and he is retiring a week from today, and so I think we ought to give him a round of applause for a relatively good career,” Patterson said, to cheers from the room. Google did not respond to a request for comment by publication time. Cerf, 83, and collaborator Robert Kahn are credited as being the architects of the networking protocols that became the internet we know today. His work developing and popularizing TCP/IP — the basic set of rules that lets different computer networks talk to each other — beginning in the 1970s has been recognized with numerous honorary degrees, the Presidential Medal of Freedom, anda Turing Award, among other honors. Since 2005, Cerf has served as vice president and chief internet evangelist at Google. (At this point, we can safely say the internet is fully evangelized, for good or ill.) Cerf was speaking on a panel alongside other computer scientists known for their work on durable open source projects, including Patterson; François Chollet, creator of the Keras deep-learning library and co-founder of Ndea; John Ousterhout, the Stanford computer scientist behind the Tcl programming language, who also co-founded Electric Cloud; and Matei Zaharia, who is Databricks’ co-founder and chief technologist. They offered advice about what it takes to build open source systems that survive — advice that’s increasingly relevant as founders bet on open infrastructure for the next wave of AI products. Much of the conference’s discussion focused on the problems with the centralization of advanced models in a handful of well-resourced labs, in contrast to the decentralized world of the open internet that made Cerf’s own protocols so durable. However, Cerf predicted that the rise of AI agents — software that can act autonomously and coordinate with other software — would push tech companies back toward standardized protocols. “The agentic model of AI, with multiple agents from multiple sources interacting with each other, is going to force composability, and a requirement for interoperability and standardization,” Cerf said. If he’s right, the companies that define those interoperability standards early could end up with outsized influence over how the agentic economy actually works — a dynamic not unlike the early internet protocol wars. While other panelists speculated that natural language communication between LLM agents would be sufficient, Cerf predicted formal standards would be required. “I don’t think English is going to be the best choice. There’s a flexibility in it, but there’s ambiguity, and I think precision for interagent interaction is going to be very, very important. An agent really needs to be sure the other agent understands what it is that they just agreed to do together,” Cerf said. “Remember the old telephone game where you wish you’d whispered in somebody’s ear and then by the time it got to 10 people away the message was totally different? Imagine a bunch of agents talking to each other in natural language, you know, that’s kind of terrifying.” In a more lighthearted moment, Patterson recalled meeting Cerf, known for his wardrobe of three-piece suits, as a grad student in the 1970s. “He’s always been the best dressed computer scientist I’ve ever met,” Patterson said. “My memory of Vint is that he came as a grad student with a shirt and tie in the ’70s.” “It absolutely is true,” Cerf said. “I even had a vest, and for some reason I always wanted to stick out, and instead of having long hair, and something in my nose, I thought just dressing differently was one way to do it.”
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What RBI's AI Model Risk Draft Means for Banks, Fintechs and AI Vendors
The draft framework on AI model risk management brings credit models, GenAI tools, and spreadsheets under a single governance regime.
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US Lifts Export Controls on Anthropic’s Fable 5, Mythos 5
Anthropic has also launched Claude Sonnet 5, making it the default model for Free and Pro users.
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AWS Invests $1 Bn to Launch Forward Deployed Engineering for AI Deployments
AWS will embed AI engineers within customer teams to build and deploy agentic AI systems, with deployment timelines shifting from months to days.
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