EvoChip.ai AltiCoreAI Technology Delivers 40X Faster AI Inference Than Neural Networks in Controlled Benchmark

Revolutionary technology achieves order-of-magnitude performance gains on standard CPUs, challenging fundamental assumptions about AI infrastructure requirements ...
National Bureau of Economic Research

Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
News Medical

Advancing gene regulatory network inference with causal discovery and graph neural networks

Gene regulatory networks (GRNs) depict the regulatory mechanisms of genes within cellular systems as a network, offering vital insights for understanding cell processes and molecular interactions that ...
Physics World

Neural simulation-based inference techniques at the LHC

A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...
Business Wire

Untether AI Dramatically Expands AI Model Support and Speeds Developer Velocity with New Generative Compiler Technology

TORONTO--(BUSINESS WIRE)--Untether AI ®, a leader in energy-centric AI inference acceleration today introduced a breakthrough in AI model support and developer velocity for users of the imAIgine ® ...
Semiconductor Engineering

Performant Side-Channel Resistant RISC-V Core to Secure Neural Network Inference (Northeastern Univ.)

A new technical paper titled “PermuteV: A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference” was published by researchers at Northeastern University. “Edge AI inference is ...
Open Access Government

Reconstructing the three-dimensional structure of star-forming cores with the help of neural networks

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...