“Lawrence Livermore National Laboratory (LLNL) today announced it will receive a first-of-a-kind brain-inspired supercomputing platform for deep learning developed by (link is external)IBM Research (link is external). Based on a breakthrough neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses and consume the energy equivalent of a hearing aid battery – a mere 2.5 watts of power. The brain-like, neural network design of the IBM Neuromorphic System is able to infer complex cognitive tasks such as pattern recognition and integrated sensory processing far more efficiently than conventional chips.”
Related Content
Related Posts:
- Intel Gaudi AI Accelerator Gains 2x Performance Leap on GPT-3 with FP8 Software
- How governments and companies should advance trusted AI
- Microchip Teams Up with Intelligent Hardware Korea (IHWK) to Develop an Analog Compute Platform to Accelerate Edge AI/ML Inferencing
- Renesas Extends Its AIoT Leadership with Integration of Reality AI Tools and e² studio IDE
- How AI Is Powering the Future of Clean Energy
- IBM and NASA Open Source Largest Geospatial AI Foundation Model on Hugging Face
- New MLCommons Results Highlight Impressive Competitive AI Gains for Intel
- Unlocking the future of computing: The Analog Iterative Machine’s lightning-fast approach to optimization
- Intel Labs Introduces AI Diffusion Model, Generates 360-Degree Images from Text Prompts
- Chip Manufacturing ‘Ideal Application’ for AI, NVIDIA CEO Says