Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.

Abstract: Double-vector model-predictive current control (MPCC) has been widely studied and applied to control pulsewidth modulated (PWM) rectifiers. A recent study showed that the pulse pattern ...

A Soviet astronomer in the 1960s proposed a scale to classify hypothetical alien civilizations. Here’s why the framework is ...

Anthropic found an intriguing inner working element of modern LLMs. Does this give light to the advent of AI consciousness.

Abstract: This article proposes an optimal voltage-vector-sequence-based model predictive control (MPC) method for permanent magnet synchronous motor (PMSM) drives that exploits the properties of ...

2025-04-17: Released pretrained weights for M2D-T available here. State-Space Models (SSMs) have emerged as an efficient alternative to transformers, yet existing visual SSMs retain deeply ingrained ...

Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, ...

Anyone who has watched a trader blow up a desk will recognize the pattern: mounting losses, narrowing options, the slow slide from discipline into desperation, and then the catastrophic shortcut that ...

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...