Q.ANT Runs Generative AI on Photonic Hardware

Q.ANT, the pioneer in commercial photonic computing, today demonstrated the first complex, production-relevant AI workloads on its photonic hardware. Q.ANT successfully demonstrated a diffusion model ...
techtimes

AMD and Intel’s ACE Locks In x86 AI Compute Standard, Replacing Intel’s Older AMX

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
Hacker

Building a Transformer From Scratch in Annotated PyTorch

A complete walkthrough of implementing the original Attention Is All You Need encoder-decoder Transformer—no torch. nn.Transformer, no shortcuts. The 2017 paper "Attention Is All You Need" by Vaswani ...
Business Wire

VeriSilicon and Google Jointly Launch Open-Source Coral NPU IP

SHANGHAI--(BUSINESS WIRE)--VeriSilicon (688521.SH) recently announced the joint launch of the Coral NPU IP with Google, targeting always-on, ultra-low-energy edge Large Language Model (LLM) ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
Hacker

20 Best PyTorch Datasets for Building Deep Learning Models

A library of open datasets for data analytics/machine learning compiled by HackerNoon. The two most widely-used open-source machine learning frameworks for training and building deep learning models ...
IEEE

PipeDAP: An Efficient Communication Framework for Scheduling Decoupled All-Reduce Primitives in Distributed DNN Training

Abstract: Communication scheduling effectively improves the scalability of distributed deep learning by overlapping computation and communication tasks during training. However, existing communication ...
the-decoder

AI-generated CUDA kernels outperform PyTorch in several GPU-heavy machine learning benchmarks

A team at Stanford has shown that large language models can automatically generate highly efficient GPU kernels, sometimes outperforming the standard functions found in the popular machine learning ...
CSOonline

Poisoned models in fake Alibaba SDKs show challenges of securing AI supply chains

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting malicious code inside ML models lacking, expect the technique to spread.