diginomica

How Bayesian-inspired uncertainty management could shape the future of trustworthy AI -

Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...
Tech Xplore

Human brain and AI speech recognition decode speech in similar step-by-step stages, study finds

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...
eLife

Dynamic brain states during encoding and their post-encoding reinstatement predicts episodic memory in children

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.
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 ...
blockchain

MIT's Lottery Ticket Hypothesis: 90% Neural Network Pruning Without Accuracy Loss Transforms AI Inference Costs in 2024

According to @godofprompt, MIT researchers have demonstrated that up to 90% of a neural network can be deleted without sacrificing accuracy, a breakthrough known as ...
blockchain

MIT’s Lottery Ticket Hypothesis: How Neural Network Pruning Can Slash AI Inference Costs by 10x

According to @godofprompt, MIT researchers demonstrated that up to 90% of a neural network’s parameters can be deleted without losing model accuracy, a finding known as the 'Lottery Ticket Hypothesis' ...
Semiconductor Engineering

Multi-Core Architecture Optimized For Time-Predictable Neural Network Inference (FZI, KIT)

A new technical paper titled “MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference” was published by researchers at FZI Research Center for Information ...
IEEE

High-Performance Bayesian Neural Network Inference Accelerator Based on FPGA

Abstract: Bayesian Neural Networks (BNNs) offer robust uncertainty estimation capabilities through probabilistic modeling, yet their prohibitively high computational complexity and resource ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...