A new single-board platform integrates FPGA-based RF processing with AI acceleration for wireless applications.
Abstract: This brief presents an edge-AIoT speech recognition system, which is based on a new spiking feature extraction (SFE) method and a PoolFormer (PF) neural network optimized for implementation ...
In this post we look at some of the most popular open-source tools for FPGA design and verification. Traditionally, when we create an FPGA design we have to use proprietary software tools to simulate ...
Scientists have unveiled a real-time method for tracking rapid qubit fluctuations inside quantum computers. The breakthrough reveals that even stable qubits can deteriorate in milliseconds, offering ...
AI/ML and agentic tools are getting better at helping design and compile FPGAs, but downstream programming is slower to benefit. FPGAs historically have been designed using Verilog or VHDL, but higher ...
Advanced computational models and simulations to unravel the complexities of brain function have known a growing interest in recent years in the field of neurosciences, driven by significant ...
The cerebellum plays a central role in motor control and learning. Its neuronal network architecture, firing characteristics of component neurons, and learning rules at their synapses have been well ...
Cologne Chip’s “Integrated logic analyzer” (ILA) project is an open-source Verilog implementation of a logic analyzer running on the company’s GameMate A1 FPGA and designed to capture internal signals ...
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