InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
IEEE

Architectural Exploration and Implementation of CERN LHC Trigger Algorithm With FPGA

Abstract: The upcoming high-luminosity upgrade of the Large Hadron Collider (LHC) at CERN will increase data rates to values far exceeding the capabilities of software-based processing systems. As a ...
IEEE

A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance

Abstract: As educational technologies mature at a growing rate, effective models of instructional delivery systems that can deliver learning experiences based on the individual learner’s learning ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...
Semiconductor Engineering

Addressing Critical Tradeoffs In NPU Design

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...
The Verge

Musk says he’s going to open-source the new X algorithm next week

He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. He open-sourced Twitter’s algorithm back in 2023, but then never updated the GitHub. is the Verge’s weekend editor.
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...