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TechCrunch Mobility: SpaceX Rockets Past Tesla
SpaceX IPO surpasses Tesla's market cap at $2.1 trillion, fueling merger speculation with added equity language and executive hints.
The Impossible Dream of the Universal Remote
The quest for a perfect universal remote remains elusive. Logitech's Harmony came closest with activity-based control and extensive customization, but setup com...
Physical Neural Networks: A Comprehensive Survey by University of Lübeck and TU Hamburg
University of Lübeck and TU Hamburg survey physical neural networks (PNNs) including in-memory computing and optical architectures for energy-efficient AI hardw...
Why You Might Already Own SpaceX Shares, Siri’s AI Makeover, and Knicks Owner’s Surveillance Machine
SpaceX shares may already be in your portfolio via ETFs and mutual funds. Plus: Apple's AI revamp of Siri and Knicks owner James Dolan's surveillance machine.
Malaysia's AI-Powered Messaging Platform Respond.io Raises $62.5M, Eyes Acquisitions
Malaysia's Respond.io raises $62.5M Series B for AI messaging platform, eyes acquisitions. Startup grows to $35M ARR with 169% YoY increase.
The Dirty, Unglamorous Work of Collecting Robot Training Data—and Why AI Labs Are Paying XDOF to Do It
AI labs pay top dollar for XDOF’s robot training data, solving the physical world data gap for advanced robotics development.
Why South Koreans Have Embraced AI So Wholeheartedly
South Korea's wholehearted embrace of AI stems from cultural openness, digital connectivity, and pragmatic solutions to aging and low birth rates, with social r...
Trump’s Anthropic shutdown just made the case for non-American AI
Trump’s shutdown of Anthropic pushes AI development overseas, proving the need for non-American alternatives to sustain global innovation.
China Didn’t Make People Hate Data Centers
A new narrative blaming Chinese interference for US anti-data center protests is disputed by experts citing local concerns over energy, water, and noise.
Designing Chips That Can Explain Themselves
New chip designs embed built-in explainability, using trace buffers and dedicated engines to provide real-time, human-readable justifications for AI decisions.