Blumind Harnesses Analog for Ultra Low Power Intelligence
By Sally Ward-Foxton, EETimes (February 15, 2024)
Canadian startup Blumind recently developed an analog computing architecture for ultra-low power AI acceleration of sensor data, Blumind CEO Roger Levinson told EE Times. The company hopes to enable widespread intelligence in Internet of Things (IoT) devices.
“The challenge is, we need to have intelligence in the sensor, but we do have a serious power and cost problem,” Levinson said. “And how do we maintain enough flexibility to make this useful?”
Advanced process nodes aren’t cost effective for tiny chips used in tens of hundreds of millions of units in the IoT. Combine this with the fragmentation of the IoT market, the need for application-specific silicon, and the requirement for zero additional power consumption and it’s easy to see why the IoT has been slow to adopt AI, Levinson said.
To read the full article, click here
Related Semiconductor IP
- xSPI Multiple Bus Memory Controller
- MIPI CSI-2 IP
- PCIe Gen 7 Verification IP
- WIFI 2.4G/5G Low Power Wakeup Radio IP
- Radar IP
Related News
- Blumind reimagines AI processing with breakthrough analog chip
- Blumind Secures Series A Funding to Accelerate Analog AI Revolution
- POLYN Technology White Paper Looks at Analog Computing for AI
- Ceremorphic Exits Stealth Mode; Unveils Technology Plans to Deliver a New Architecture Specifically Designed for Reliable Performance Computing
Latest News
- Premier ASIC and SoC Design Partner, Sondrel, Rebrands as Aion Silicon
- Intel Financial Risks, Layoffs, Foundry Ambitions
- BOS Semiconductors to Partner with Intel to Accelerate Automotive AI Innovation
- China Takes the Lead in RF Front-End Patent Activity: RadRock and Others Surge Behind Murata
- Arteris Wins Two Gold and One Silver Stevie® Awards in the 2025 American Business Awards®