Bridging the patient gap: exploring generative AI to support meaningful patient involvement in health technology assessment. [PDF]
Cossio M, Gilardino RE.
europepmc +1 more source
Graphical abstract illustrating the fabrication of Ni–P–O–C porous carbon microlattice electrodes by DLP printing of Ni/P precursor‐containing resin followed by high‐temperature carbonization. The resulting conductive microlattice acts directly as the HER cathode in alkaline electrolyte, where in situ formed Ni–P–O–C interfaces provide active sites for
Muzahir Ali +6 more
wiley +1 more source
From apology to action: advancing Indigenous self-determination in hospital care in the Northwest Territories. [PDF]
Grace Roher SI +3 more
europepmc +1 more source
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
From phenomena to phrasing: rethinking seizure classification through history. [PDF]
Soni AJ.
europepmc +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Equitable intelligence for Africa: strengthening global health artificial intelligence (AI) governance. [PDF]
Bain LE, Njei B.
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Uncovering advanced transfer learning strategies for deep neural networks in natural language processing. [PDF]
Abbassy MM +3 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

