For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...
Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive Therapy (ECT)—a gold-standard treatment for severe cases—varies significantly ...
Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results