Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

Optimizing MLP Network Structure for Classification Problems Using PSO and Dominating Vertex Set

Abstract: Developing high performance neural networks remains a significant challenge in classification problems. This is largely due to the considerable impact of the neural network architecture on ...
IEEE

Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies

Abstract: Electroluminescence (EL) imaging is the most widely used diagnostic technique for identifying flaws at every stage of the production, installation, and operation of solar modules. This ...
Ars Technica

Testing shows why the Steam Machine’s 8GB of graphics RAM could be a problem

But there’s one spec that has caused some concern among Ars staffers and others with their eyes on the Steam Machine: The GPU comes with just 8GB of dedicated graphics RAM, an amount that is steadily ...
BGR

The Steam Machine's HDMI Port Has A Built-In Identity Crisis

Valve's unveiling of the Steam Machine has many of us excited about the yet-to-be-released gaming PC. Rocking an AMD Zen 4 CPU, an AMD RDNA 3 GPU, and up to 16GB of RAM, the box-shaped hardware isn't ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...