Astronomers discover a brand-new type of astrophysical object: A black hole star
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 11:16 ET (3-Nov-2026 16:16 GMT/UTC)
Astronomers have discovered a “black hole star,” an extremely bright red spot in the early universe that appears to be a new type of astrophysical object. It resembles an enormous star, but its energy production is closer to what a black hole might generate.
Heat waves pose a growing threat to learning, health and well-being in schools as extreme heat becomes more frequent and intense across the United States, finds a report by the American Psychological Association and the Network for Resilient PK-12 Schools.
Shoppers who use trolleys embedded with digital screens to assist trips to the supermarket spend up to a third more than those who do not, according to new research by Bayes Business School (City St George’s, University of London).
Generative AI gives health experts the ability to create realistic synthetic genetic data that helps to identify behaviour of disease complications.
CAMBRIDGE, Mass., Aug 12 — Insilico Medicine (“Insilico”; HKEX: 3696), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced the nomination of ISM0900, a potent, AI-driven, highly selective, orally available small molecule inhibitor of lipoprotein(a), or Lp(a), as a preclinical candidate (PCC) for the management of cardiovascular risks. Notably, this marks the company's 9th PCC nomination announced since 2026, showcasing the enhanced efficiency and scalability that generative AI brings to early-stage drug discovery.
A new semiconductor integration platform developed at Institute of Science Tokyo combines advanced chip packaging with high-density interconnects and improved thermal management. This combination of three complementary technologies helps overcome the key challenges in building high-performance artificial intelligence (AI) hardware. By enabling more precise chip placement, faster communication, and efficient cooling, the technology paves the way for more powerful and energy-efficient AI accelerators and high-performance computing systems.
Accurately forecasting extreme temperature events remains a critical challenge for climate adaptation and disaster preparedness. Now, researchers have developed Hankelformer, a novel deep learning architecture that integrates structured Hankel-based augmentation with contrastive learning to significantly improve extreme weather forecasting. Tested on real-world extreme events including the 2021 Texas winter storm and the Pacific Northwest heat dome, Hankelformer achieved up to 34% reduction in prediction error compared to leading baseline models, offering a promising tool for reliable extreme temperature forecasting.