Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the center of this ...
Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...
Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...
The artificial intelligence (AI) and machine learning (ML) sector has solidified its position as the powerhouse of venture capital (VC) investment, with a record-breaking $73.6 billion raised across 1 ...
What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...
By moving model runs to iPhones and Macs, Apple cuts reliance on data centers and lowers energy use, so you get quicker, ...
Tech Xplore on MSN
Turning city traffic into a computer: Novel approach to AI could slash energy demands
What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...
New technical analysis highlights the growing dominance of software over sensor-only camera innovation SAN MATEO, Calif., Jan. 20, 2026 /PRNewswire-PRWeb/ -- Glass Imaging, a leader in AI-driven ...
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