The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

For many people today, botanical knowledge doesn’t go much beyond daisies, buttercups, and dandelions. But an app is changing ...

Physics meets AI: Harvard scientists applied renormalization theory to a simplified model, revealing how large neural networks stabilize learning in high‑dimensional spaces. Scaling mystery solved?: ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...

Elevoc Technology announced that its co-founder, Professor DeLiang Wang, has been recognized in the 2025 ScholarGPS 'Highly ...

This study presents MPALM, a novel microscopy technique that captures nanoscale biomolecular dynamics, overcoming limitations ...

Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...