In part 1 of this series, we looked at new high-end FPGA families from Xilinx, Intel, and Achronix and discussed their underlying semiconductor processes, the type and amount of programmable logic LUT fabric, the type and amount of DSP/arithmetic resources and their applicability to AI inference acceleration tasks, the claimed TOPS/FLOPS performance capabilities, and on-chip interconnect … Read More → "High-End FPGA Showdown – Part 3"
The upshot: Trained AI models have to be adapted for specific inference implementations. New inference hardware was presented at Hot Chips by Intel, Xilinx, and Nvidia, and Mipsology has yet another inference option.
This week we bring the natural follow-on to the machine-learning (ML) training piece of Read More → "SoCs for ML Inference"
In Part 1 of this 3-part miniseries, we discussed the origins of artificial intelligence (AI), and we considered some low-hanging AI-enabled fruit in the form of speech recognition, voice control, and machine vision. In Part 2, we noted some of the positive applications of AI, like recognizing skin cancer, identifying the source of … Read More → "The Artificial Intelligence Apocalypse (Part 3)"
In Part 1 of this 3-part miniseries, we cogitated and ruminated on the origins of artificial intelligence (AI). We also started to look at some of the “happy face” aspects of AI in the form of speech recognition, voice control, and machine vision.
Let’s continue with our happy faces for a moment. AI is now turning up in … Read More → "The Artificial Intelligence Apocalypse (Part 2)"
Big data center operators say they are seeing a steady stream of new architectures for accelerating deep learning neural networks—and the flow is just getting started, according to comments at last week’s AI Hardware Summit. One analyst pegged the number of established and … Read More → "AI Sparks Hyper-Competition"