Welcome to In the Spotlight, where each month we shine a light on something exciting, timely, or simply fascinating from the world of science.
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.
Latest News Releases
Updates every hour. Last Updated: 3-Nov-2026 10:16 ET (3-Nov-2026 15:16 GMT/UTC)
SwRI wins two R&D 100 awards
Southwest Research InstituteGrant and Award Announcement
Strategic fit—not market share—separates winners in AI, study shows
University of MarylandPeer-Reviewed Publication
AI assistants aren’t converging on one dominant model; instead, ChatGPT, Gemini and Claude succeed through distinct strategies of scale, ecosystem and premium that expand—rather than cannibalize—the market.
- Journal
- California Management Review
Autism research tool uncovers how nature, nurture shape children's risk
University of Virginia Health SystemPeer-Reviewed Publication
- Journal
- Nature Genetics
Insilico Medicine convenes O3DC, an open consortium for benchmark quality in AI-driven drug discovery
InSilico MedicineBusiness Announcement
CAMBRIDGE, Mass., Aug 24 - Insilico Medicine (“Insilico”; HKEX: 3696), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced the launch of the Open Drug Discovery and Development Consortium (O3DC) - www.o3dc.org, an open initiative addressing how computational drug discovery methods are evaluated, together with its first shared resource: a community-curated index of the benchmarks the field relies on.
Seeing the dynamic world clearly without lenses: NJU and PKU Joint team achieves single-shot high-fidelity lensless dynamic imaging
Editorial Office of Opto-Electronic Journals GroupPeer-Reviewed Publication
A joint research team from China explored a new paradigm integrating physical models with deep learning, proposing “McLDI-INR: Mask-constraint Lensless Dynamic Imaging by Dual-Domain Collaborative Implicit Neural Representation.” This framework overcomes lensless imaging’s conventional reliance on multiple acquisitions, strong prior assumptions, and high-precision physical models in dynamic scenarios. It enables lensless imaging systems to recover clearer, higher-resolution images of moving samples, paving the way for more flexible and practical lensless imaging applications.
- Funder
- Jiangsu Association for Science and Technology, National Natural Science Foundation of China, Beijing Natural Science Foundation
Machine learning-assisted thermochromic smart windows for thermal management
Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CASPeer-Reviewed Publication
Windows contribute significantly to energy inefficiency across global infrastructure. Overcoming complex trade-offs in multispectral optical responses, scientists in China have developed a physics-guided neural network to design energy-efficient thermochromic smart windows for directional privacy protection. These inverse-designed windows achieve ultrahigh simultaneous modulation of near-infrared transmittance and longwave infrared emissivity. Applied to electric vehicles and building envelopes, these customized smart windows demonstrate superior, climate-adaptive all-weather thermal management.
- Journal
- Light: Science & Applications
- Funder
- Government of Hong Kong Special Administrative Region, Chinese University of Hong Kong, 2024 Shenzhen-Hong Kong-Macau Science and Technology Program (Category C), Innovation and Technology Fund