Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

This configuration allows for the analysis of data in real-time as experiments occur. A primary experimental connection for the platform is the National Spherical Torus Experiment-Upgrade (NSTX-U) at ...

TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...

HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...

Women’s health founders are rebuilding how patients find care, shifting to direct-to-consumer access, owned channels, and ...

Until recently, building an IoT device, such as one for asset tracking, meant choosing a single networking technology, such as Wi-Fi, Bluetooth, LoRa, or cellular 5G, based on application requirements ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...

Ventiva(R), a leader in thermal solutions, today introduced its new AI-Ready Laptop reference design, powered by the latest AMD Ryzen series mobile processor, at CES 2026. AI workloads are reshaping ...

A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

This paper presents a theoretical framework for parallelizing the FD3 algorithm, which estimates the capacity, information, and correlation dimensions of chaotic time series using the box-counting ...