Mr. Ingolf Held has been Chief Executive Officer of GrAI Matter Labs (GML) since January 2018. Prior to GML, he was responsible for technology strategy and product marketing of imaging and computer vision at Intel. He holds an MScEE from Erlangen University and an MBA from Rotterdam School of Management.
Qualcomm is leading the realization of the Connected Intelligent Edge, where the convergence of wireless connectivity, efficient computing and distributed AI will power the devices and experiences that you deserve. In this talk, we’ll explore how Qualcomm is deploying on device AI across diverse edge products in markets including mobile, automotive, XR, IoT, robotics and PCs. We will also explore our recently announced Qualcomm AI Stack, a comprehensive AI software solution for OEMs and developers. For the first time, a single AI software portfolio works on every Qualcomm Technologies platform spanning the wide range of Connected Intelligent Edge products.
Ziad Asghar is Vice President, Product Management at Qualcomm Technologies, Inc (QTI). He leads Snapdragon roadmap planning and Application processor technologies, covering all QC product lines. Ziad drives the definition of the products ensuring that our products lead in technology and enable best in class user experiences while making tradeoffs between features, power, performance and cost. He also leads Application Processor technologies including Artificial Intelligence, Camera, Graphics, CPU, Audio, Video and Security. He also has responsibility for Competitive Analysis. Ziad works across all teams including engineering and product management to ensure that we have the leading roadmap in the industry and continue to set the standard on all application processor technologies. He works across all business units including Mobile, Automotive, Compute, XR, Edge Cloud and IoT.
He has more than 20 years of experience in the wireless semiconductor industry where he has held a broad set of leadership positions from R&D to product management. Prior to joining Qualcomm, Ziad was at Texas Instruments where he worked on systems design of UMTS & LTE and OMAP Product Management.
Ziad holds an MBA from UCSD and master’s degrees in electrical engineering from Purdue University and Southern Methodist University.
Spiking neural networks are central to the brain’s processing of sensory data, and are key to its ability to recognize spatial and time-series patterns quickly and efficiently.
Innatera’s Spiking Neural Processor (SNP) enables always-on AI applications based on programmable, energy-efficient acceleration of spiking neural networks. It achieves unprecedented AI-based functions at the sensor-edge within a sub-milliwatt power and sub-millisecond latency envelope, using spiking models 100x smaller than conventional neural networks. In this talk, CEO Dr. Sumeet Kumar explores the capabilities of the SNP, and how these link with the critical requirements of sensing use-cases in the consumer and industrial domains. Further, Dr. Kumar provides insight into Innatera’s Talamo software development kit which brings the power and familiarity of PyTorch to spiking neural networks.
Dr. Sumeet Kumar is CEO of Innatera Nanosystems, the pioneering Dutch neuromorphic processor company. Dr. Kumar holds an MSc and PhD in Microelectronics from the Delft University of Technology, The Netherlands. He was previously with Intel, where he worked with the Imaging and Camera Technologies Group developing domain-specific tools for the development of complex media processor architectures. At Delft, Dr. Kumar is credited with creating two highly-successful European R&D programmes developing energy-efficient compute hardware for highly automated vehicles, together with organizations including Infineon, NXP, and BMW, among others. He was also responsible for leading industry-focused research on power-efficient multiprocessors and computational neuroscience.
The future of AI begins at the sensor. Join BrainChip for this exploration of relevant data propagation, regions of interest and making the applications of tomorrow more efficient today by processing at the sensor.
Anthony Valle is a Senior Pre-Sales Engineer for North America and Latin America at Ipsotek, an Atos company. Anthony has over 20 years of experience in IT and security technology solutions for the rapidly growing tech-based world. He works closely with clients in developing solutions for AI at the Edge, utilizing a patented Scenario-Based Rule Engine (SBRE), a powerful tool to precisely define behaviors of interest as they would unfold in the real-world dynamic and complex environment.
Prior to joining Atos, he performed first Sales Engineering and later Application engineering roles for Avigilon, one of the world's largest security manufacturers. Throughout his career, he has held key management positions within the industry and sought many certifications to further his career in security technology.
