The Brain Inspired Computing Congress will bring together the leading start-ups, researchers and multinational companies who are exploring technologies spanning neuromorphic engineering, event-based sensors, brain-inspired algorithms and biologically plausible neural networks. This congress will provide an overview of these technologies in addition to deep-dive sessions on new architectures for neuromorphic chips, event-based sensors, and efforts to create biologically plausible algorithms.The Brain Inspired Computing Congress will focus on the prime applications for brain-inspired technologies including autonomous vehicles, robotic arm control and dynamic vision sensing. Given the scope for ultra-low-power and edge applications, this technology can be used where conventional deep learning methods are not well suited, such as brain-implants, where it is vital to adhere to power and temperature constraints. Therefore, this congress will also openly discuss the overlap and differentiation between applications for conventional deep learning and brain-inspired computing, exploring how these technologies can complement one another.

AI optimization and acceleration so far has mostly been driven by novel hardware innovations. However, recently there have been new products developed by the AI start-up and research communities that operate at the software level in the machine learning technology stack, which reduce training length, inference time, energy consumption and memory usage of AI and machine learning (ML) models.Learning how to benchmark, deploy, and use these tools, as well as scrutinizing existing real-world use-cases is business-critical because these tools disrupt the AI market by: Enhancing the running of ML models on CPUs, therefore, reducing the costs of ownership of AI hardwareImproving the performance of standard AI accelerators (GPUs, FPGAs, DSPs etc.)Helping more data science and machine learning projects get into full productionIncreasing the competitiveness of products in the crowded edge device and IoT marketsThe Software for AI Optimization Summit will demonstrate how to deploy and integrate the latest novel software optimization tools into AI/ML workflows. Consequently, innovators and adopters in data science, machine learning, AI engineering and IoT solutions will uncover new techniques that enable the training and inference of AI and ML models to be faster, more cost-efficient, and still maintain high levels of performance and accuracy.Consequently, you will be ahead of the latest innovations across the ML technology stack enabling you to make informed decisions about strategic partnerships on who to partner with to optimize AI on the cloud and at the edge.