New project to develop AI systems that can reason, explain, and adapt as they act in the physical world
Grant and Award Announcement
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: 25-Jun-2026 21:15 ET (26-Jun-2026 01:15 GMT/UTC)
As AI systems move into factories, hospitals, and other real-world physical environments, safety, reliability, and effective human-AI collaboration become increasingly important. Ismini Lourentzou, assistant professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, has received a National Science Foundation (NSF) CAREER award to develop the next generation of embodied AI agents, systems that can reason, explain, and adapt as they act in the physical world. Her project, "Shaping Embodied Intelligence Through Language-Guided Introspection," will be supported by a five-year, $600,000 grant from the NSF.
A research paper by scientists from Sun Yat-sen University Cancer Center represented the largest prospective validation to date of AI-based treatment planning for NPC, demonstrating real-time feasibility, robust generalizability, and consistent clinical quality.
The new research paper, published on May. 18 in the journal Cyborg and Bionic Systems, developed and clinically validated a deep‑learning‑based automated planning system that generates high‑quality treatment plans in real time – within an integrated CT‑linear accelerator (CT‑linac) “all‑in‑one” (AIO) workflow.
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.