The growth of AI services requires increased compute capabilities on edge devices. Neuromorphic techniques are critically important for obtaining the levels of efficiency needed to achieve this transition. BrainChip has been a pioneer in bringing digital, portable, event-based neuromorphic solutions to market. The second generation of Akida, BrainChip’s neural processor, adds additional efficient intelligent processing for multidimensional streaming data with Temporal Event-based Neural Networks (TENNs) and vision transformer acceleration in hardware. This enables much more capable, portable, passively cooled devices that can perform advanced processing for vision, voice, vibration and other modalities close to the sensor, without need for cloud connections, serving a wide variety of applications from autonomous drones to health wearables. In this talk, we discuss how the natural compression offered by TENNs algorithms can radically reduce model size and computation without compromising accuracy for more advanced multimodal applications that use large language models and large vision models.
Thriving on the Edge with Efficient Neuromorphic Processors
Session Speakers
Nandan NayampallyChief Marketing Officer, BrainChipNandan Nayampally, Chief Marketing Officer and Head of Product at BrainChip, has over 25 years of success in building and growing disruptive technology and compute products that have industry-wide impact. Nandan’s career began at AMD in processing and systems, after which he moved into the IP business for memory controllers at Denali Software. After Denali he had a successful career at Arm, eventually running the CPU and Client businesses as General Manager. He led a number of key technology paradigms before expanding toward more intelligent platforms, developing Arm’s Immersive experiences Augmented Reality business before moving to Amazon to lead Alexa AI tools for Echo, Fire TV and other consumer devices. He has been an advisor or consultant to start-ups such as Tenstorrent and Vocareum. Nandan has a Bachelor of Technology in Computer Science and Engineering from the Indian Institute of Technology, Mumbai, and an MA in Computer Science from the University of Texas at Austin.See you May 21-23, 2024, at the Santa Clara Convention Center!