Results 111 to 120 of about 3,547 (211)

SymRefine: A symbolic regression approach for refining and compressing neural networks. [PDF]

Neurocomputing (Amst)
Wei W, Lu Q, Huang C, Lee D, Luo J.
europepmc   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Quantum-entangled neuro-symbolic swarm federation for privacy-preserving IoMT-driven multimodal healthcare. [PDF]

Sci Rep
Ben Othman S, Ali O.
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Tensor language model enables generative scheduling for efficient tensor compilation. [PDF]

Sci Rep
Mehmood S, Arooj A, Al-Shamayleh AS, Batool S, Ur-Rehman I, Sabir MD, Masood S, Akhunzada A.   +7 more
europepmc   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Optimal hyperdimensional representation for learning and cognitive computation. [PDF]

Front Artif Intell
Poduval PP, Errahmouni Barkam H, Liu X, Yun S, Ni Y, Zou Z, Bastian ND, Imani M.   +7 more
europepmc   +1 more source

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

The future of fundamental science led by generative closed-loop artificial intelligence. [PDF]

Front Artif Intell
Zenil H, Tegnér J, Abrahão FS, Lavin A, Kumar V, Frey JG, Weller A, Soldatova L, Bundy AR, Jennings NR, Takahashi K, Hunter L, Dzeroski S, Briggs A, Gregory FD, Gomes CP, Rowe J, Evans J, Kitano H, King R.   +19 more
europepmc   +1 more source

9th International Symposium on Symbolic Computation in Software Science (SCSS 2021) : short and work-in-progress papers

This collection contains short and work-in-progress papers presented at the 9th International Symposium on Symbolic Computation in Software Science, SCSS 2021.
openaire   +1 more source