As artificial intelligence (AI) deployments continue to expand, securing AI is vital, but AI applications face multiple sophisticated threats. Artificial Intelligence (AI) advances foster various…
Reported tera operations per second (TOPS) is an exaggerated performance number that most neural networks will never see under real-world conditions. Instead, evaluate real-world TOPS…
A novel hybrid data-flow and Von Neumann architecture can accelerate workloads including neural networks, machine learning, computer vision, DSP and basic linear algebra subprograms. Quadric,…
New TinyML benchmark has metrics for latency and energy consumption – and the first round of results are out. MLCommons, the industry consortium behind the…
Industry leaders including Microsoft, Google and Facebook have all integrated Simultaneous Localization and Mapping (SLAM) technology into their AR/VR headsets using low power, embedded processors, so why can’t robot developers do the same?
While edge computing has seen an exponential growth in the last few years, developers are experiencing issues in implementing AI and edge software solutions. Here’s…
Not all shakiness is bad. Cutting-edge software applies the right level of stabilization to video captured by cameras in motion. Since the first consumer picked…
Microcontroller (MCU) suppliers are steadily increasing the memory content in their devices, but is that enough to support design needs for AIoT—the intersection of artificial…
Implementing vapor chamber cooling technology could pay off for particular applications such as embedded systems with critical thermal management concerns.
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