Results 231 to 240 of about 1,169,127 (318)

The effects of valine, lysine and threonine and their optimal combinations on the synthesis of α-casein by MAC-T cells. [PDF]

open access: yesFront Vet Sci
Yang M   +9 more
europepmc   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

open access: yesAdvanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel   +5 more
wiley   +1 more source

Switching strategies with CGRP monoclonal antibodies: an observational study in a headache clinic. [PDF]

open access: yesFront Neurol
Polanco M   +5 more
europepmc   +1 more source

Using MAC addresses in the lawful interception of IP traffic

open access: green, 2004
Grenville Armitage   +2 more
openalex   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

open access: yesAdvanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee   +4 more
wiley   +1 more source

Macrophage surface protein Mac-2 mediates inflammatory and stromal stress pathways in doxorubicin-induced cardiac injury. [PDF]

open access: yesCardiooncology
Sonkawade SD   +7 more
europepmc   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan   +6 more
wiley   +1 more source

The optimal conditioning intensity of stem cell transplantation for acute myeloid leukemia in complete remission. [PDF]

open access: yesAnn Hematol
Shimomura Y   +24 more
europepmc   +1 more source

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