Qualcomm and AWS Partner on Custom Silicon for AI Datacentre Scaling
The collaboration targets high-speed optical connectivity and custom silicon design to address the growing infrastructure demands of large-scale AI workloads.
The collaboration targets high-speed optical connectivity and custom silicon design to address the growing infrastructure demands of large-scale AI workloads.

The new adaptive retrieval architecture reduces computational overhead for AI agents by dynamically adjusting search steps based on query complexity.
Researchers have developed a novel network architecture that enhances video clarity by optimizing inter-frame motion alignment and feature fusion.

The new open-source model integrates vision-language capabilities with 3D perception and trajectory planning for autonomous driving systems.

Researchers have developed an AI-driven control architecture capable of predicting and mitigating plasma instabilities in fusion reactors at millisecond speeds.

The TCS subsidiary is developing a massive 264-acre campus designed to support high-density GPU clusters and large-scale generative AI workloads.

The new spiking neural network architecture combines state space modeling to enable energy-efficient inference for edge AI applications.

MIT researchers have developed a new fabrication process that allows for the mass production of flexible, transparent silicon-photonics chips.

The new laboratory combines high-performance computing with bioinformatics to accelerate cancer research and molecular modeling.

Custom Arm silicon exposes critical gaps in Linux kernel task management, prompting upstream scheduler patches to stabilize AI workload performance.
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