Results 141 to 150 of about 7,675,718 (246)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Exploring child engagement in a multi-robot tutor-peer learning scenario. [PDF]

Front Robot AI
Raggioli L, Maharjan RS, Kolak J, Taylor G, Gatenby AB, Cangelosi A.   +5 more
europepmc   +1 more source

The "flat peer learning" agent-based model. [PDF]

J Comput Soc Sci, 2022
Collard P.
europepmc   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Peer Learning in Medical and Health Professions Education: Evidence, Design Principles, and Pedagogical Reflection. [PDF]

J Med Educ Curric Dev
Elmi-Terander A.
europepmc   +1 more source

Curriculum Innovations: Near-Peer Learning in Neurology Residency Training on Cerebrovascular Disease in a Teaching Hospital in China. [PDF]

Neurol Educ, 2023
Hong Y, Su N, Fu H, Cao Y, Yao M, Zhou L, Ni J, Zhu Y.   +7 more
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Learning the role together: experiences of using peer learning in the introductory training of newly employed nurses in the ambulance service. [PDF]

BMC Med Educ
Jepsen K, Falk AC, Alm A, Wihlborg J, Lindström V.   +4 more
europepmc   +1 more source

Towards a sustainable online peer learning model based on student's perspectives. [PDF]

Educ Inf Technol (Dordr), 2022
Tang YM, Lau YY, Chau KY.
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source