AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.
EV adoption is accelerating across logistics, public transport, and energy retail. Charging networks, fleet management systems, energy platforms, and partner APIs all run in parallel but rarely communicate. Dispatchers manually coordinate sessions that should trigger automatically. Energy managers export spreadsheets that a platform should process in real time. At scale, these gaps become a ceiling […]
The humanoid robotics industry may be approaching its first real commercial inflection point – and the signal is not a new product launch or funding round, but a sharp and accelerating decline in prices. Recent disclosures from Unitree Robotics suggest the average price of its humanoid robots fell from approximately $85,000 in 2023 to about […]