<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Physical AI — ABXK.AI</title><link>https://abxk.ai/en/physical-ai/</link><description>Physical AI in numbers: self-driving vehicles, robots, brain-computer interfaces and the AI data centers behind them, with public data, charts and a learning path.</description><language>en-US</language><copyright>© 2026 ABXK.AI</copyright><lastBuildDate>Sun, 18 Oct 2026 15:00:00 +0200</lastBuildDate><atom:link href="https://abxk.ai/en/physical-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Data Centers in Numbers: Power, Chips and Who Owns the Compute</title><link>https://abxk.ai/en/physical-ai/ai-data-centers/</link><pubDate>Sun, 18 Oct 2026 15:00:00 +0200</pubDate><guid>https://abxk.ai/en/physical-ai/ai-data-centers/</guid><description>&lt;p&gt;Every answer from a language model, every generated image and every training run happens in a physical building: halls full of AI chips, connected to power lines and cooling systems. These buildings are now the largest physical footprint of AI. Epoch AI, a research institute that tracks the development of AI, records the largest AI data centers with satellite imagery, permits and public documents, and estimates the chip sales and ownership of AI compute. We evaluated these datasets: 94 data centers, 74 of them already running, chip sales by designer and the distribution of compute among owners.&lt;/p&gt;</description></item><item><title>Brain-Computer Interfaces in Numbers: Trials, Implants and Research</title><link>https://abxk.ai/en/physical-ai/brain-computer-interface-trials/</link><pubDate>Sun, 18 Oct 2026 14:30:00 +0200</pubDate><guid>https://abxk.ai/en/physical-ai/brain-computer-interface-trials/</guid><description>&lt;p&gt;A brain-computer interface (BCI) records brain activity and turns it into commands: a cursor moves, a robotic arm grasps, a synthetic voice speaks words a person can no longer say. AI models do the decoding, translating patterns of electrical activity into intended movements, letters or sounds. To see how far the field really is, we analyzed all 280 studies on ClinicalTrials.gov, the largest public registry of clinical studies, whose entry mentions a brain-computer or brain-machine interface, and counted the research papers on PubMed.&lt;/p&gt;</description></item><item><title>Self-Driving Car Crashes in Numbers: What the NHTSA Reports Show</title><link>https://abxk.ai/en/physical-ai/self-driving-car-crash-data/</link><pubDate>Sun, 18 Oct 2026 14:00:00 +0200</pubDate><guid>https://abxk.ai/en/physical-ai/self-driving-car-crash-data/</guid><description>&lt;p&gt;Every crash of a car that drives itself on US roads has to be reported to the National Highway Traffic Safety Administration (NHTSA), the federal road safety authority, and the reports are public. We analyzed all 1,551 reports on vehicles with an automated driving system that NHTSA has published for crashes since June 2025, when the current version of the reporting rule took effect. The picture is more specific than most headlines: the typical crash is slow, the robot car is often standing still, and most crashes end without injuries.&lt;/p&gt;</description></item></channel></rss>