Channels, >2,800 Programmable Operations-Scalable to >50,000 Operations on Each Dataset Arriving Every 25 ns with Zero Data Loss at a fraction of the cost of FPGA ...
A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...
AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
Cloud-AI convergence is the operating system that will define how communications service providers compete and deliver value ...
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...
Left-shifting DFT, scalable tests from manufacturing to the field, enabling system-level tests for in-field debug.
After 25 years defending against man-in-the-middle attacks, a security veteran explains why most AI agents replicate the same architectural risks—creating compliance gaps, opaque decision-making, and ...
Software extends far beyond desktops. Embedded systems operate inside vehicles, medical devices, industrial machines, and ...
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