Embodied cross-domain intelligence in biomedical microrobots: A review
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 15:16 ET (3-Nov-2026 20:16 GMT/UTC)
A review paper by scientists from Imperial College introduce embodied cross-domain intelligence, a framework for synergistic coupling across physical, biological, computational, and human intelligence, enabling multifunctional, collaborative, and adaptive micro-robotic behavior in dynamic, safety-critical biological settings.
The new research paper, published on May. 14 in the journal Cyborg and Bionic Systems, introduced a unifying concept called embodied cross‑domain intelligence, which weaves together physical, biological, computational, and human intelligence into a synergistic whole.
How do children learn math? It’s shaped by what they know as well as their motivation and engagement. Historically, research on children’s math learning has been focused on parents’ cognitive practices (such as math talk – informal conversations that involve math), however emerging evidence shows how parents’ motivational practices (encouraging independence and helping children enjoy math) may also play a critical role in their math abilities. Researchers from the University of Illinois Urbana-Champaign in the United States aimed to address the limited attention on the role of parental motivational practices in their children’s math learning experiences.
A new correspondence highlights a critical gap in modern medical education, arguing that digital simulations and virtual reality fail to transmit the hands-on "tacit learning" essential for clinical practice. By attempting to recreate a dissection using the detailed ancient texts of the Roman physician Galen, the study demonstrated that written instructions and digital tools alike cannot replace the physical intuition and judgment gained through real-life, mentored practice. To address this, the correspondence suggests identifying and integrating these unspoken, tacit elements into the design of future digital pedagogical tools to better align with the actual needs of clinical skill acquisition.
Biotechnology company LambdaVision is leveraging the International Space Station National Laboratory to improve the production of artificial retinas that could restore vision to the millions of people blinded by macular degeneration. Artificial retinas produced in microgravity show markedly improved uniformity, optical performance, and reproducibility compared to those made on Earth.
Urban railways play a key role in sustainable transportation systems. However, achieving precise and energy-efficient train control under diverse operating conditions of urban railways remains a challenge. Researchers from Japan have now developed a recurrent reinforcement learning framework for urban railway speed control that combines expert-guided learning and safety filtering. The proposed method demonstrated stable, real-time operation and energy-saving performance, highlighting its potential for next-generation automatic train operation systems.