Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Open Access Government

Basic machine learning with lessR : Easy, simple, and free

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
C&EN

Modular syntheses: Putting function first

And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
Computer Weekly

Gartner declares ‘agentic AI’ the next step function

Generative artificial intelligence (AI) may have planted the seeds for the ongoing fervour over AI, but agentic AI is the true breakthrough that will revolutionise enterprise data pipelines and ...

Measuring process over product: AI approach assesses learning processes

Artificial intelligence (AI) is profoundly reshaping education worldwide. While AI tools increasingly support students in ...
Family Destinations Guide

Step Inside This Nostalgic New Jersey Arcade And You’ll Feel Like You’ve Traveled Back In Time

Silverball Retro Arcade is what happens when someone decides that the past was actually pretty great and deserves to be ...
IEEE

Efficient Reinforcement Learning With the Novel N-Step Method and V-Network

Abstract: The application of reinforcement learning (RL) in artificial intelligence has become increasingly widespread. However, its drawbacks are also apparent, as it requires a large number of ...
pcguide

Steam Machine one step closer to launch as benchmarks surface online, here’s how it compares to the Steam Deck

Back-to-back benchmarks of the Steam Machine (code-named Valve Fremont) have been recently uploaded to the Geekbench database, giving us an early insight into what kind of power the cubed mini PC will ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
GitHub

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Recent studies generally enhance MLLMs' reasoning capabilities via supervised fine-tuning on high-quality chain-of-thought reasoning data, which often leads models to merely imitate successful ...