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How Elon Musk’s supercomputer freaked out AI rivals
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What's in this week's issue?
😲 How Elon Musk’s supercomputer freaked out AI rivals
🤖 Giving robots superhuman vision using radio signals
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Elon Musk has shaken the AI industry by rapidly building a supercomputer, “Colossus,” for his xAI venture, prompting rivals like OpenAI and Microsoft to accelerate their own data center expansions.
Located in a former manufacturing plant in Memphis, Colossus hosts 100,000 GPUs, making it one of the largest AI-focused supercomputers globally. Musk’s project was completed in just 122 days—far faster than typical timelines—by forgoing standard practices, such as securing permanent electrical infrastructure.
Instead, xAI temporarily relies on gas-powered turbines to offset energy demands, sparking concerns from environmental groups. The project’s speed and scale have rattled competitors, with OpenAI CEO Sam Altman reportedly pressing Microsoft to match xAI’s progress.
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In the race to develop robust perception systems for robots, one persistent challenge has been operating in bad weather and harsh conditions. For example, traditional, light-based vision sensors such as cameras or LiDAR (Light Detection And Ranging) fail in heavy smoke and fog.
However, nature has shown that vision doesn't have to be constrained by light's limitations -- many organisms have evolved ways to perceive their environment without relying on light. Bats navigate using the echoes of sound waves, while sharks hunt by sensing electrical fields from their prey's movements.
Now, researchers from the University of Pennsylvania School of Engineering and Applied Science (Penn Engineering) have developed PanoRadar, a new tool to give robots superhuman vision by transforming simple radio waves into detailed, 3D views of the environment.
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