IEEE

Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction via Steering Vector Estimation

Abstract: The performance of the sample matrix inverse (SMI) beamformer degrades greatly when the signal-to-noise ratio (SNR) increases because the signal of interest (SOI) is mistaken as ...

‘Simulation theory’ brings an AI twist out of ‘The Matrix’ to ideas mystics and religious scholars have voiced for centuries

The technology that has helped propel the simulation theory may be new, but the questions it explores are ancient.

‘Wanted’ Director Timur Bekmambetov Explains His $5 Million Plan to Generate AI Method Actors: ‘AI Is Here to Stay. We Have to Train It Responsibly’

Wanted' director Timur Bekmambetov has developed Stanislavski, a technology that uses method acting techniques to improve AI actors' performances.

Chip startup d-Matrix raises $275M to speed up inference with in-memory compute

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization ...
Capital Brief on MSN

Microsoft-backed d-Matrix valued at USD2b in Series C

California-based AI chip startup d-Matrix has gained a USD2 billion ($3.06 billion) valuation in its USD275 million Series C ...
IEEE

Robust Adaptive Beamforming Method Based on Steering Vector Phase Correction and Covariance Matrix Reconstruction

Abstract: Steering vector (SV) mismatch caused by the DOA uncertainty in the source leads to a remarkable performance degradation for adaptive beamforming particularly in situation where the training ...