Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...
Artificial intelligence helps UCSD scientists discover a biological process connected to the bowel disease, potentially opening the door to new treatments ...
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Career education options in AI after class 12: Here are 1-year, 3-year, 4-year and 5-year options
After Class 12, students interested in Artificial Intelligence can choose from several education paths — short 1-year ...
Boardroom speaks with the entrepreneur charting a new course in streaming and building music’s middle class. Coda began ...
Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...
In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...
Discover how Google's quantum echoes algorithm is solving real-world problems in drug discovery, material science, and ...
Computers built with analogue circuits promise huge speed and efficiency gains over ordinary computers, but normally at the ...
UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...
Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.
Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...
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