Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

This effort has taken form in "Axis of Becoming", an AI-driven cross-cultural serious educational game grounded in ...

Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more information as learning occurs.

The challenges, such as opening a door with a round doorknob, started out easy, at least for a human, and progressed to “gold ...

Alzheimer’s disease and related dementias were less likely among adults who completed cognitive speed training with booster sessions, according to data published in Alzheimer’s & Dementia: ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

In a landmark study published in Cell Reports, scientists demonstrated that mouse cortical organoids (miniature, lab-grown ...

The cost of not upskilling teams in AIIssued by Torque ITJohannesburg, 06 Mar 2026 Robin Ramokgadi, Business Unit Manager, TorqueIT. AI is set to transform workplaces, but if teams are not skilled in ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a photonic ...

Nested Claude Code runs parallel tasks through Tmux; auto-picks terminal count and routes input, with real-time activity logs ...

Two sprinters can cross the same finish line seconds apart, yet their strides may look nothing alike. One might stretch long, ...