#Hardware Acceleration

Edge AI Acceleration Gets Flexible

Researchers developed a novel FPGA-based accelerator that dynamically adjusts neural network precision at runtime, boosting inference speed for edge AI.

Arm at NeurIPS 2025: Efficiency Over Scale in AI

Inside Ironwood AI Stack: Google's Bet on Co-Design for Scale

DualBird Funding Aims to Supercharge AI Data Processing in the Cloud

QuamCore Secures $26M for 1M-Qubit Quantum Computer

QuamCore secured $26 million in Series A funding, led by Sentinel Global. This investment aims to develop a one-million-qubit quantum computing system. The round brings QuamCore's total funding to $35 million.

Making Machine Learning Inference Meet Real-World Performance Demands

FPGAs offer the configurability needed for real-time machine learning inference, with the flexibility to adapt to future workloads. Making these advantages accessible to data-scientists and developers calls for tools that are both comprehensive and easy to use. Daniel Eaton, Sr Manager, Strategic Marketing Development, Xilinx