Latest AI News
Samsung Becomes the First South Korean Firm to Cross $1 Tn Market Cap
With this, Samsung joins the recent TSMC in the $1 trillion club as AI chip demand lifts Korean markets.
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Freshworks to Cut 500 Jobs Amid AI-Led Restructuring Despite Strong Earnings
Freshworks reported a 14% year-over-year constant-currency growth in quarterly revenue to $228.6 million in Q1 2026.
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IIT Madras Picks IPOs Over Unicorns
The IIT Madras Incubation Cell added 112 startups in FY26, marking its second straight year above the 100-startup milestone.
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Taylor Swift’s Legal Play Signals New Fight to Protect Celebrity Identity in AI Era
Swift joins a growing list of celebrities taking legal steps to counter the misuse of AI-generated voices and likenesses.
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Google’s Best Small AI Models Just Got 3x Faster
With Multi-Token Prediction technology, Google has now enabled developers to bypass traditional memory bottlenecks with Gemma 4.
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Ex-OpenAI CTO’s Startup Has the Highest Talent Density
Thinking Machines Lab and OpenAI sit at opposite ends of the scale spectrum—one a 140-person elite research lab, the other a 4,500-person AI giant. Yet, both lead Paraform’s talent density rankings
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Broadcom Launches VMware Cloud Foundation 9.1 to Power Enterprise AI
VMware Cloud Foundation 9.1 combines virtual machines, containers and AI workloads, reducing complexity while improving efficiency for enterprise deployments.
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In a First, IIT Guwahati Launches Hybrid MTech Course in Robotics and AI
The programme will allow entry without a GATE score and looks to offer flexible learning for both fresh graduates and working professionals.
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Cerebras Confirms IPO Launch Again, Targets $35 Bn Valuation
The AI chipmakera plans to raise nearly $3 billion through a Nasdaq listing, as demand for inference infrastructure continues to rise.
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Inside Wispr Flow’s Obsession to Kill Typing
Wispr has earned praise for its distinctly ‘Apple-esque’ product, with its microinteractions, design, and obsessive attention to detail.
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OpenAI Makes GPT-5.5 Instant as the New Default Model in ChatGPT
GPT-5.5 Instant can draw on past chats, uploaded files, and connected services such as Gmail to tailor responses.
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Altara secures $7M to bridge the data gap that’s slowing down physical sciences
Companies working on batteries, semiconductors, and medical devices generate vast amounts of data — and much of it ends up scattered across spreadsheets and legacy systems, making it hard to use to improve products or understand failures. San Francisco-based startupAltara, which just secured $7 million in seed funding, says it has built an AI layer designed to bridge these data gaps and bring fragmented technical information into a single platform. The round was led by Greylock, with participation from Neo, BoxGroup, Liquid 2 Ventures, and Jeff Dean. Altara was founded in 2025 by Eva Tuecke (pictured right), who previously conducted particle physics research at Fermilab and worked at SpaceX; and Catherine Yeo (pictured left), a former AI engineer at Warp. The two met while studying computer science at Harvard University. “Imagine if you’re a company building next-generation batteries, and a battery fails during the cell testing in the R&D process,” Yeo said. “A team of engineers has to go in and manually check a lot of different sources of data, anything from their sensor logs to their temperature data, moisture data. They cross-check historical failure reports.” Scientists and engineers often spend weeks or months on this “scavenger hunt” across a multitude of data sources just to diagnose and resolve failures, she said. Altara claims that its AI dramatically slashes the time required for this process, condensing weeks of manual data triaging into minutes. Corinne Riley, a partner at Greylock, compares what Altara is doing in the physical sciences to the role of site reliability engineers in the software world. If a system fails, “an SRE will go in, and they’ll go look at the observability stack of the company,” she said. “Someone pushed a change to the code, and that’s what caused an outage.” For instance, Greylock-backed Resolve, which is valued at$1.5 billion, uses AI to diagnose software failures. Altara’s vision is to act as the hardware equivalent, determining exactly what went wrong when a battery or a semiconductor fails to perform. Altara isn’t the only startup using AI to accelerate development in the physical sciences. Startups likePeriodic LabsandRadical AIare also tackling scientific research from the ground up. Altara is taking a different, much less capital-intensive approach though. Rather than trying to replace decades-old research and manufacturing firms, Altara provides an intelligence layer that plugs into their existing data. In fact, Greylock’s Riley views AI for physical science as the “next big frontier” and predicts an impending explosion of development in the sector.
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