Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Ryzen AI Embedded processors that offer higher-performance, lower-latency artificial intelligence to automotive, industrial and autonomous edge systems. Announced at of the annual CES 2026 trade show ...

Edge artificial intelligence chipmaker Ambiq Micro Inc. took to the stage today at the 2026 Consumer Electronics Show in Las Vegas to unveil Atomiq, its first system-on-chip integrating a specialized ...

Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers at Reichman University's Baruch Ivcher School of Psychology and the Dina ...

Abstract: This paper proposes a feedforward compensation strategy based on Parallel GRU-Transformer neural network to address the issues of large tracking errors and insufficient stability of multi ...

Figure 1 | Schematic of the STM-PRC architecture. Each node in the network is assigned an independent reservoir. The reservoir corresponding to SL6 (denoted as R6) is shown here as an example. Figure ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Conventionally it is assumed that the nerve impulse is an electrical process based upon the observation that electrical stimuli produce an action potential as defined by Hodgkin Huxley (1952) (HH).