Ars Technica

Sixteen Claude AI agents working together created a new C compiler

Amid a push toward AI agents, with both Anthropic and OpenAI shipping multi-agent tools this week, Anthropic is more than ready to show off some of its more daring AI coding experiments. But as usual ...
Microsoft

Deep Learning Compiler and Optimizer

This project aims to build a deep learning compiler and optimizer infrastructure that can provide automatic scalability and efficiency optimization for distributed and local execution. Overall, this ...
Morningstar

VeriSilicon and Google Jointly Launch Open-Source Coral NPU IP

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) applications. The IP is based on ...
Semiconductor Engineering

Overflowing Zoo: The Power Of Compilers

The term “model zoo” first gained prominence in the world of Artificial Intelligence/Machine Learning (AI/ML) beginning in the 2016-2017 timeframe. Originally used to describe open-source public ...
GitHub

Reinforcement learning environments for compiler optimization tasks.

CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks. It allows ML researchers to interact with important compiler optimization problems in a ...
The Conversation

5 ways students can think about learning so that they can learn more − and how their teachers can help

Jerrid Kruse receives funding from the National Science Foundation, the NASA Iowa Space Grant Consortium, and the William G. Stowe Foundation. During my years teaching science in middle school, high ...
WJHL-TV

Revolutionary AI Model Compiler AltiCore-LogicMCU transforms machine learning for resource-constrained embedded systems

DANA POINT, CA, UNITED STATES, September 9, 2025 /EINPresswire.com/ -- Evochip.ai today announced the launch of AltiCore-LogicMCU, a groundbreaking AI model compiler ...
Psychology Today

How AI Impacts Academic Thinking, Writing and Learning

Co-authored by Xiaoyan Dong, Hannah Farrell, and Michael Hogan. Artificial intelligence (AI) is rapidly changing how we learn and develop knowledge and skills. With the development of AI, more and ...
Frontiers

Graph neural networks with configuration cross-attention for tensor compilers

With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as ...
Edutopia

Approaching Experiential Learning as a Continuum

Experiential learning is learning by doing. One of my college professors used to say, “Tellin’ ain’t teachin’,” which emphasized the need for active engagement in learning. Experiential learning can ...
Semiconductor Engineering

DL Compiler Framework For More Efficient Inter-Core Connected AI Chips (UIUC, Microsoft)

A new technical paper titled “Elk: Exploring the Efficiency of Inter-Core Connected AI Chips with Deep Learning Compiler Techniques” was published by researchers at the University of Illinois ...