Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Substrate-Controlled Response Coefficients in Thin Films. [PDF]
Tyunina M +6 more
europepmc +1 more source
Strontium/copper doped nano-bioactive glass for biomedical applications. [PDF]
Ahmed MM, El-Kheshen AA, Moaness M.
europepmc +1 more source
An Overview of Zeolites: From Historical Background to Diverse Applications. [PDF]
Alotaibi AM.
europepmc +1 more source
Safe Stockpiling of the MTX-1 Primary Explosive in Alkali or Alkaline Earth Metal Complexes and Coordination Polymers. [PDF]
Samsonov MA +3 more
europepmc +1 more source
Coordination Geometry and Structure-Property Relationships in Alkaline-Earth β‑Diketonate Complexes with 2‑Methylimidazole. [PDF]
Bravo-Arredondo JM +5 more
europepmc +1 more source
Density functional study of barium and strontium boron hydrides for hydrogen storage and optoelectronic applications. [PDF]
Kumar A, Etabti H, Kumar K, Kumar A.
europepmc +1 more source
Discovery of α-PtO2 nanoparticles in deep-sea ferromanganese deposits: a hidden platinum sink
Liao J +10 more
europepmc +1 more source
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We would like to report on a design of new type of optical atomic clock - a continuous active clock with cold strontium atoms, as well as on progress with lattice clocks in KL FAMO. The active clock design will use blue detuned optical lattice to provide the Lamb-Dicke regime in the optical cavity, where conditions for superradiance emission on the ...
M Bober, P Ablewski, Muhammad A Butt
exaly +2 more sources

