Silicon photonics is set to revolutionize AI hardware by using light to enhance energy efficiency and computational speed, transforming the training and deployment of AI systems.

A normally dormant black hole named Ansky has erupted, emitting record-breaking X-ray bursts as observed by the European Space Agency's XMM-Newton telescope. This unexpected activity in the galaxy SDSS1335+0728 has challenged current understanding of black hole behavior, hinting at new astrophysical insights.

Small language models (SLMs) are gaining popularity in the AI field as an efficient alternative to large language models. These models offer significant reductions in computational and energy demands while remaining effective for specialized tasks, thus providing a sustainable and accessible avenue for AI research and applications.

Stanford researchers have developed a digital twin of a mouse brain's visual cortex using artificial intelligence, enabling precise virtual neuroscience experiments. This tool allows the study of neural responses beyond initial data inputs, accelerating neuroscience research and providing new insights into brain functioning. The advancement promises potential applications in more complex brains, including humans'.

Discover how Peking University's cutting-edge motion model, featuring MotionCutMix and MotionReFit technologies, is transforming animation, gaming, and robotics by allowing realistic human motion generation and modification through simple text instructions.

DNA strand displacement circuits mark a revolution in biotechnology, enabling the development of molecular robots functioning within living cells. This advancement could transform our ways of manipulating biological systems and offer deeper insights into cellular activities.

Astrophysicists have introduced a groundbreaking model suggesting millions of interstellar objects reside in our solar system, many originating from the Alpha Centauri system. This study redefines our understanding of cosmic connectivity, portraying our galaxy as an intricately woven web of shared materials and interactions.

Researchers at the University of Massachusetts Amherst have developed a laser and hologram-based technique to detect misalignments in 3D chip layers with unprecedented precision, poised to enhance manufacturing processes in the semiconductor industry.

This article delves into an innovative AI framework, Machine Memory Intelligence (M2I), inspired by human memory systems, with aims to improve AI's adaptability and efficiency. The M2I framework highlights neural mechanisms, associative representation, continual learning, and collaborative reasoning, addressing limitations in current AI systems and promising smarter, more resilient technologies.

This article delves into the scientific breakthrough in detecting antiferromagnetism in quasicrystals, particularly within a gold-indium-europium structure. This discovery has significant implications for the fields of spintronics and magnetic refrigeration, paving the way for future technological advancements.