In 2026, AI research is moving from simply scaling models toward probing their fundamental limits, with benchmarks like MLRegTest revealing gaps in logical generalization and causal reasoning.

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

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

For more than a decade, neuroscientists had recordings from monkey brains learning to sort visual patterns. They had analyzed ...

THE 52ND ANNUAL Meeting of the European Society for Blood and Marrow Transplantation (EBMT) was held in the highest-altitude ...

The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

Sensor fusion techniques enhance robotic perception, leveraging multiple sensors to create a more accurate and resilient ...

Researchers developed a retinal image-based system to predict the 5-year risk of diabetic kidney disease and the risk of ...

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

Scientists have uncovered a hidden “stop-scratching” signal in the nervous system that tells your brain when enough scratching is enough. The discovery centers on a molecule called TRPV4, which acts ...

The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: ...

Follow-up overall survival, months, median (range) 96 (15-120) Follow-up PSA to recurrence or death, months, median (range) 55 (11-111) Follow-up PSA patients alive and recurrence-free, months, median ...