Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Alibaba Group Holding Ltd. today released an artificial intelligence model that it says can outperform GPT-5.2 and Claude 4.5 Opus at some tasks. The new algorithm, Qwen3.5, is available on Hugging ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

School schedules across metro Atlanta are beginning to stabilize following winter weather impacts, but not all districts are returning to in-person learning just yet. Atlanta Public Schools and ...

Algorithms and AI have led to an era of boring sameness in interior design. But a resistance is emerging. A cozy, neutral sameness defines our era of interior design. Velvet sofas. Bouclé armchairs.