RoboCrop: Teaching robots how to pick tomatoes
Article URL: https://phys.org/news/2025-12-robocrop-robots-tomatoes.html Comments URL: https://news.ycombinator.com/item?id=46218782 Points: 3 Comments: 0...
Article URL: https://phys.org/news/2025-12-robocrop-robots-tomatoes.html Comments URL: https://news.ycombinator.com/item?id=46218782 Points: 3 Comments: 0...
LLMs are useful because they generalize so well. But can you have too much of a good thing? We show that a small amount of finetuning in narrow contexts can dra...
Learn how to become an effective engineer with continual learning LLMs The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards...
Equivariant neural networks encode symmetry as an inductive bias and have achieved strong empirical performance in wide domains. However, their expressive power...
We describe SynthPix, a synthetic image generator for Particle Image Velocimetry (PIV) with a focus on performance and parallelism on accelerators, implemented ...
What recruiters are looking for in machine learning portfolios The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Scienc...
Quantum circuit design is a key bottleneck for practical quantum machine learning on complex, real-world data. We present an automated framework that discovers ...
Context. LLM-based autonomous agents in software engineering rely on large, proprietary models, limiting local deployment. This has spurred interest in Small La...
Overview The world of AI is moving fast, and Amazon Web Services AWS is shaping much of that future. From powerful infrastructure to flexible tools, AWS is inv...
Deploying multiple models within shared GPU clusters is promising for improving resource efficiency in large language model (LLM) serving. Existing multi-LLM se...
Introduction to Microsoft Defender for Endpoint In today’s rapidly evolving digital landscape, organizations face a mounting challenge in safeguarding their se...
The reliance of organisations on computer networks is enabled by network programmability, which is typically achieved through Service Function Chaining. These c...