Dynamic manipulation skill learning for tactile myoelectric prosthetic hands in tool handling
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 16:16 ET (3-Nov-2026 21:16 GMT/UTC)
A research paper by scientists from Beijing University of Posts and Telecommunications designed a multimodal controller termed the tactile, kinesthetic, and electromyography (EMG) bionic gripping controller (TKE-BGC).
The new research paper, published on May. 13 in the journal Cyborg and Bionic Systems, developed a bioinspired control framework that dramatically improves prosthetic hand stability during such dynamic tasks.
A research paper by scientists from Capital Medical University proposed a diffusion tensor imaging (DTI)-based DenseNet to identify SVCI from subcortical ischemic vascular disease (SIVD) and to profile multidomain cognitive risks.
The new research paper, published on May. 13 in the journal Cyborg and Bionic Systems, developed a deep‑learning framework that uses routine diffusion tensor imaging to both identify SVCI and profile an individual’s domain‑specific cognitive weaknesses.
Cambridge, MA — May 26, 2026 — Insilico Medicine (“Insilico”, 3696.HK), a clinical-stage generative artificial intelligence (AI)-driven biotechnology company, and Human Life Foundation Models, Inc. (HLFM), a newly launched company established by Human Longevity, Inc. today announced a multi-million-dollar AI co-development collaboration to build industry’s first large-scale foundation models dedicated to human longevity science.
Microbes found deep below the earth at the Sanford Underground Research Facility (SURF), a former gold mine in South Dakota, are being used to engineer enzymes that can pull CO2 gas directly from coal-fired power plant emissions. The patent-pending technology could help reduce the carbon in the atmosphere.
As the global transition to renewable energy intensifies, the search for high-performance batteries and efficient electrocatalysts has become a critical race against time. Traditionally, discovering these materials required years of "trial-and-error" laboratory experiments. Now, a comprehensive review published in the journal ENGINEERING Energy by researchers from Tongji University reveals how Artificial Intelligence (AI) is fundamentally shifting this paradigm.
An artificial intelligence–driven transfer learning strategy enabled the discovery of a novel indolopyridine-based small molecule (Compound 8a) that directly targets gp130, potently suppresses the JAK2/STAT3 signaling pathway, and effectively inhibits colorectal cancer growth in vitro and in vivo, offering a promising lead and a feasible computational paradigm for developing gp130‑targeted anticancer agents.