Google Research has open-sourced its Coral NPU IP (previously codenamed Kelvin), which it is giving to the industry in a bid to accelerate edge AI implementations by reducing fragmentation and…
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Annual RISC-V Summits, organized by RISC-V International, serve as vital hubs for innovation, writes SemiWiki's Daniel Nenni.
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At RISC-V North American Summit in Santa Clara, Ashling and Embecosm today announced robust ExecuTorch implementations optimised for resource-constrained devices, including RISC-V based microcontrollers. The collaboration enables developers to deploy…
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Project Snapshot Identifying the optimal hardware configuration for running NN inference on edge devices is critical for maximizing performance. Tailoring HW designs to specific applications significantly increases resource utilization. We…
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By running an open-source NVIDIA Deep Learning Accelerator directly on a RISC-V chip (without a traditional operating system), a group of researchers has achieved impressive performance and energy efficiency.
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EMASS has introduced the ECS-DoT, a 22nm microprocessor designed to bring milliWatt-scale intelligence directly to edge and IoT devices.
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SiFive just announced an array of new additions to its product stack that run the gamut, from tiny, ultra lower-power designs for far edge IoT devices, to more powerful engines…
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We explore how companies across industries are proving the viability of RISC-V as a native architecture for modern AI workloads
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by Ashley Stevens, Director of Product Management and Marketing at Arteris The amount of compute used to train frontier AI models has been doubling roughly every five to six months, but…
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By setting a clear, stable standard, the RVA23 profile’s ratification is spurring top vendors to align on a common RISC-V hardware goal. All we need now is that hardware to…
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