This new AI model thinks in images, not just words

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

Improved Asymmetric Double-Vector Model-Predictive Current Control of Power Converters With Current Harmonic Minimization and Switching Frequency Reduction

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 ...

Elon Musk’s plans refer to an idea conceived in the 1960s. What is the Kardashev scale?

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

Thinking Very Carefully About Whether Anthropic Found The Seat Of AI Consciousness

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

Optimal Voltage-Vector-Sequence-Based Model Predictive Control With Minimum Current Harmonic for Low-Switching-Frequency PMSM Drives

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 ...
GitHub

A Natively Multi-Dimensional State-Space Model for Vision Tasks

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 "J-lens" reveals a silent workspace inside Claude that mirrors a leading theory of consciousness

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