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.
Maximo, the solar robotics company incubated by the AES Corporation, has announced the successful installation of 100 megawatts (MW) of utility-scale solar capacity at AES’ Bellefield complex, located on former agricultural land near California City in Kern County. Demand for electricity continues to grow rapidly, driven by data center expansion, electrification and industrial manufacturing. Solar […]
A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain creativity tests. Models like GPT-4 showed strong performance on tasks designed to measure original thinking and idea generation, sometimes outperforming typical human responses. But there’s a clear ceiling. The most creative humans — especially the top 10% — still leave AI well behind, particularly on richer creative work like poetry and storytelling.
Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, removing one of the biggest computational bottlenecks in galactic modeling. The result is a simulation hundreds of times faster than current methods.
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a core AI function. By etching microscopic lenses directly onto silicon, they’ve enabled laser-powered computations that cut power use dramatically while maintaining near-perfect accuracy.
近日，全球单体最大超级电容+锂电混合储能调频电站——山西偏关100MW混合储能电站一期工程顺利并网运行。作为该项目核心设备供应商，汇川技术提供的储能升压一体机凭借高精度控制、极速响应等核心技术优势，为电站毫秒级调频能力提供关键支撑，标志着我国储能调频技术实现规模化应用的重大突破，也彰显了汇川在电力电子技术领域的领先地位。
2026年初，工业通信领域迎来一个具有里程碑意义的共识时刻。由汇川技术自主研发的下一代工业网络技术WiTSnet，其六项核心协议族在国际电工委员会（IEC）的投票中，以参与成员国100%的赞成率，正式获准纳入全球工业通信国际标准体系，编号为IEC 61158 Type29与IEC 61784 CPF23。
6 月 11 日,地瓜 机器人 发布行业首款单 SoC 算控一体化机器人开发套件 RDK S100,以超级协同的类人大小脑架构设计,支持具身智能大小模型的高效协作,打通“感知-决策-控制”的行动闭环,驱动具身机器人大小脑协同进化。RDK S100 提供丰富的外围接口和软硬协同、端云一体的全链路开发基础设施支持,助力具身机器人开发者一路通关,快速实现产品搭建和多场景部署,加速具身智能规模化落地。