As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Source: Yoshitaka Tomiyama Published: 2020-03-04 / 44 minutes / 24,000 views Scope: The second in a series of explanations ...

A new study comparing fast annual energy production models for wind farm layout optimization finds that a novel method called ...

Researchers have demonstrated a photonic chip that trains itself on the hardware using on-chip holography to compute physical ...

AI safety evaluation faces a new mathematical limit: a NeurIPS 2026 paper proves that anyone with access to model weights can ...

Optimizing Bell inequalities previously stalled at around twelve inputs/outputs; calculations rapidly became intractable. Now ...

As artificial intelligence becomes more and more powerful, its ability to handle human-like tasks is undeniable. Artificial ...

LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...

If you have ever written reinforcement learning code, you have almost certainly tried this. You scale the reward by a factor ...

Stochastic gradient descent and Adam are optimization algorithms that update model parameters from estimated gradients, but ...

The practice of fine-tuning large language models (LLMs) has brought about a major change in artificial intelligence.

A Science paper on Google DeepMind's AlphaProof Nexus reports proofs for 9 Erdős problems and 44 OEIS conjectures. We look at ...