➀ TDK has developed a spin-memristor for analog neural networks and built a network that can separate music, speech, and noise in real-time. The technology is based on a collaboration with CEA since 2020 and uses a 300mm-compatible spintronics semiconductor prototyping line at Tohoku University. ➁ The memristors are controllable, have low current leakage, and are robust against resistance drift, allowing for long-term data storage. ➂ TDK and CEA have implemented an analog algorithm that can separate the three types of sound, and the technology has a significantly lower power consumption compared to conventional digital neural network implementations.
Related Articles
- Raspberry Pi AI camera shoulders AI processing workloadabout 1 year ago
- Production-grade AI has arrived in EDA: scaling innovation in analog design and verificationover 1 year ago
- Compact AI Health Monitoring And Anomaly Detection Device2 days ago
- AI Vision Assistant Camera That Can See, Read, and Translate2 days ago
- “The Inspiration Behind BonV Aero Has Always Been To Bringsmart Aerial Mobility To India”3 days ago
- The Emerging Wonderland Of ‘LIVING’ Computer Systems3 days ago
- NVIDIA Hits $5 Trillion Valuation As CEO Pops AI Bubble Concerns4 days ago
- Nvidia showcases PUBG Ally, Cinder City and new DLSS 4 titles4 days ago
- Nvidia Poised for Record $5 Trillion Market Valuation5 days ago
- Meet the Young Talent Scaling Alibaba’s AI Future at Tongyi Lab, Developer of Qwen Models5 days ago