最新 AI 资讯
RIL AGM 2026: Jio Showcases AI Voice Agent for Calls, Jio TeleFrame AI Agents and JioBharat IQ Apps
Reliance hosted its 49th annual general meeting (AGM) of shareholders on Friday. During the keynote presentation, the Indian conglomerate showcased new AI innovations coming to its platforms. Reliance has announced that it will launch five new AI platforms in India, namely JioBharat IQ, AI Vyapar, JioHealth IQ, JioLearn IQ, and JioKrishi IQ. On top of this, the company has also revealed that it is integrating AI directly into the Jio network to bring an AI-powered agent, which can be triggered with a voice command during calls. The AI agent will be available in all regional languages in the country. Additionally, the company has also unveiled the Jio TeleFrame, its new family of AI agents.
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The US says ASML’s top chip tool may be in China. ASML says it isn’t
According to Bloomberg, U.S. Commerce Secretary Howard Lutnick has, in a series of recent meetings, told senior ASML executives he’s concerned that one of the Dutch chipmaker’s extreme ultraviolet lithography machines — the EUV systems that are the only tools on Earth capable of printing the most advanced semiconductor patterns —may have ended up in China. That would be a major breach of export controls that have barred ASML from selling EUV to China since the first Trump administration. It’s a serious claim. Senior administration officials told Bloomberg they have evidence that ASML shipped EUV-related components and transport equipment to China, though they’ve declined, repeatedly, to show it — to Bloomberg or, apparently, to ASML itself. The company says no such machine exists in China and has never existed there. The Commerce Department didn’t respond to Bloomberg’s questions about whether it has evidence of an actual EUV system on Chinese soil. You might think this isn’t worth paying attention to if you’re outside the chip industry, but it is. ASML is a Dutch company most people have never heard of, but it is, by a wide margin, the most important company in the global AI buildout that isn’t named Nvidia or one of the hyperscalers. It makes the only machines on the planet capable of EUV lithography — the process of printing the microscopic circuit patterns that define the most advanced chips. Every cutting-edge processor made by TSMC, the foundry behind Nvidia’s and Apple’s chips, depends on ASML tools that took the company roughly two decades and untold billions to develop. There is, at present, no second supplier. That monopoly has made ASML Europe’s most valuable public company, with a market capitalization that has been trading in the neighborhood of $700 billion as of this week, up sharply over the past year on the back of insatiable AI-driven chip demand. That scale is exactly why the China question matters so much. If even one EUV machine made it into Chinese hands, it would represent one of the most consequential breaches of the export-control regime the U.S. has built over the past several years to keep advanced AI capability out of Beijing’s military and industrial base. I sat down with ASML CEO Christophe Fouquetsix weeks ago, well before this story broke, and asked him directly about the China question. Fouquet told me ASML tracks every machine it has ever shipped — they’re either in active use with monitored customers or have been dismantled and returned to the company. He said the firm built an internal firewall years ago: employees who can access EUV technology, documentation, and training are walled off from those who can’t, and ASML’s China-based staff sit on the wrong side of that wall by design. He argued the only reason ASML could build an EUV machine at all was that 80% of it already existed from decades of prior knowledge, and that solving the one genuinely new problem — generating EUV light itself — took 20 years on its own. His broader point seemed to be that you can’t reverse-engineer a machine you’ve never had, and nobody in China has had one. There’s also a simpler commercial logic that cuts against the idea that ASML would risk its export license to quietly arm a Chinese customer. ASML does sell older-generation deep ultraviolet tools to China — gear it first shipped a decade ago — but Fouquet framed that explicitly as a protective calculation, not a loophole. The idea, he suggested, is that it keeps enough of a generational gap that customers can still do business — but without manufacturing its own future competitor. ASML expects roughly 20% of its 2026 revenue to come from already-permitted sales to China. Risking the EUV ban entirely would put that revenue, and the company’s standing as the most valuable monopoly in European industry, on the line over a single illegal sale. None of this proves the allegations are false. The government hasn’t yet made its evidence public, and it’s worth withholding judgment until it does. The Commerce Department, under Lutnick’s leadership, agreed late last year to put up to$150 million of taxpayer moneyinto xLight, a startup developing a next-generation light-source technology that’s been written about as a long-term challenge to the core of ASML’s EUV monopoly. xLight’s own CEOtold me last yearthat the company sees itself as a future partner to ASML, not a rival, building hardware meant to plug into ASML’s machines rather than replace them. When I put that framing to Fouquet in May, he was polite about it but unconvinced; ASML, he made clear, doesn’t see itself as needing xLight’s technology to keep its lead. Does that have anything to do with why Lutnick is suddenly pressing ASML on EUV? Nothing public connects the two. It could be entirely unrelated. But a federal official scrutinizing a monopoly while his own agency has money riding on a startup angling to improve that monopoly’s core technology is worth examining. xLight isn’t the only outside bet on the future of lithography. Peter Thiel — who has his own long-running ties to Trump’s political orbit — hasbacked Substrate, a separate startup explicitly pursuing its own EUV-rival technology, with ambitions to compete with ASML more directly than xLight says it intends to. As Bloomberg notes, a bipartisan bill moving through Congress would go much further than EUV — it calls for an effective ban on all of ASML’s deep ultraviolet (DUV) shipments to China, the less advanced lithography tools that account for roughly a fifth of the company’s expected 2026 revenue. The bill cleared a key committee in April, and the Trump administration hasn’t taken a formal position on it. Pictured above: ASML CEO Christophe Fouquet
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Researchers Have Found a New Way to Enhance AI Performance Across Image Editing, Drug Discovery
Beyond creative applications, the technology has potential uses in molecular design, drug discovery, and scientific simulations where precise modelling is critical.
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DBS Bank’s AI Playbook: 430 Use Cases, 2,000 Models, Human-in-the-Loop
DBS has built foundational capabilities across data, technology, processes, and talent, while developing ADA, its enterprise data platform.
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China Will Have a Mythos-Class AI Model by Year-End, Says Z.ai Founder
The release of GLM-5.2 has reignited discussion about how soon Chinese AI companies could rival the world's most advanced models.
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If AI Can't Accelerate Accenture’s Growth, Does it Leave Hope for Anyone Else?
AI bookings are surging at Accenture, yet it has cut growth guidance as demand remains uneven.
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SingleStore CEO Raj Verma Says Databricks is Late to Unified Databases
SingleStore claimed it has been running unified operational and analytical workloads in production since 2019.
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Keralam Bets Big on AI, GenZ Startups, Geospatial Intelligence in Revised Budget 2026
One of the headline announcements is a ₹50 crore programme designed to nurture young entrepreneurs and innovators in Keralam.
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India's Compliance Maze: How TeamLease RegTech Is Using AI to Tame a 13,000-Change Beast
Enterprises in India face up to 11,000 compliance instances annually from over 3.2 million regulatory websites. TeamLease RegTech is deploying AI to shift compliance from reactive record-keeping to predictive, intelligence-driven risk management for businesses nationwide.
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Meta Strikes Fresh Data Centre Agreements With Crusoe: Report
The latest deal reflects Meta’s ongoing efforts to expand its AI infrastructure as demand for large-scale computing resources continues to grow.
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Source: Elastic agrees to buy CRV-backed DeductiveAI for up to $85M
DeductiveAI, a startup that uses AI to catch and resolve bugs in software, has agreed to be sold to enterprise software company Elastic for up to $85 million, according to a person with knowledge of the deal. Deductive, which was founded in 2023, came out stealth last November when it announced a$7.5 million seedround led by CRV with participation from Databricks Ventures, Thomvest Ventures, and PrimeSet. The investment valued the startup at $33 million, according to PitchBook. Elastic and Deductive did not respond to multiple requests for comment. TechCrunch will update this article if either company responds. The sale marks a speedy exit for Deductive, which is operating in a fast-growing sector known as AI site reliability engineering (AI SRE). Building AI-powered SRE tools has become an important area, driven by the massive influx of AI-written code. Replacing manual debugging with AI enables human SREs to shift focus from constantly fixing outages and other problems, to spending more time on helping with product development. The acquisition reflects a broader trend in which established tech incumbents are looking to buy AI-native startups to integrate agentic technologies into their existing product suites, the source told TechCrunch. Elastic, which went public in 2018, is best known for Elasticsearch, the search and analytics engine that helps organizations store, search, analyze, and monitor large amounts of data in near real time. The company’s observability software — essentially tools that let engineers monitor software systems and detect security threats — could benefit from Deductive’s tech. According to the source, integrating Deductive’s AI technology into Elastic will enhance its observability platform by giving customers tools to automatically monitor performance and resolve system failures in real-time. Deductive was co-founded by Rakesh Kothari, who was previously VP of engineering at Lightspeed-backed business analytics startup ThoughtSpot, and Sameer Agarwal, who formerly worked at Apache Software Foundation and Meta. Agrawal was one of the founding engineers at Databricks. While Deductive reached roughly $1 million in annual recurring revenue (ARR,) according to the source, the startup’s growth lagged behind Resolve AI, one of the sectors’ perceived early winners. The two-year-old Resolve was co-founded by former Splunk executive Spiros Xanthos and Mayank Agarwal. Greylock and Lightspeed-backed startup was last valued at$1.5 billionwhen it raised a $40 million Series A extension in April.
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Almost half of U.S. singles feel negatively about AI in dating, Match says
Dating app giant Match Group — which owns apps like Tinder, Hinge, and OkCupid — conducted astudyto determine how U.S. singles really feel about the relationship between AI and dating. Turns out, people don’t want AI messing with every aspect of human life. Across the industry, dating apps are experimenting with AI. Bumble introduced adating assistant named Bee, and Tinder isspendingso much on AI tools that it’s slowed its hiring process. Meanwhile, Hinge’s CEOstepped downlast year to launch a more AI-focused dating app altogether. But according to Match’s survey of 1,000 people aged 18 to 39, 47% of singles have a negative view of AI’s use in romantic contexts. This perspective varies depending on what the AI is being used for. About 40% of singles say they would refuse to date someone who uses an AI companion app, and that figure rises to 51% among women ages 18 to 24. However, only 12% of 18- to 24-year-olds said that they had used a companion app over the last three months, and only about a third of those users said they were seeking genuine connections with those chatbots. While Match says that people harbor a “near-universal” disapproval of actually dating an AI, like in the movie “Her,” that doesn’t mean that respondents are wholly opposed to AI features within apps. Some 64% of respondents said they could see how AI might help them in their dating journey. If we’re being pedantic,technically, every major dating app has already used some form of matching algorithm since before we knew what a GPT was. This survey refers to the new crop of AI features that basically every app is introducing, which help users punch up their profiles, choose photos, and keep conversations flowing. What dating app developers should take away from this survey is that people are not entirely closed off to AI; they just don’t want to be in a relationship with a robot, nor do they want to feel as though their dating experiences are overly inundated with technology that feels inauthentic. “Ask singles what they want from AI in dating, and the answer is pretty consistent: help with the hard parts, but hands off for the human parts,” Match wrote in a blog post. “Yes, they’ll use it to help them punch up a profile or for help figuring out what to say when a conversation goes quiet, but the actual connection is still theirs to create.” Hopefully, this message reaches dating entrepreneurs like Bumble founder Whitney Wolfe Herd, who suggested that dating app users could havepersonal bots that date other users’ bots. It’s pretty normal nowadays to say you met your partner online, but “his bot asked my bot out, and our bots hit it off” will never be a socially acceptable meet-cute.
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