If self-driving vehicles can navigate this complex road challenge safely, the learnings could help advance the safety of automated driving in urban scenarios.
Introducing the Engineering the Quantum Future Series: Quantum computing redefines our approach to complex challenges, expanding the scope of what's possible across multiple disciplines.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
eCozy 2.0 system addresses the limitations of traditional thermostats for water heating radiators, delivering efficiency, convenience and sustainability benefits to households
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
If self-driving vehicles can navigate this complex road challenge safely, the learnings could help advance the safety of automated driving in urban scenarios.
Introducing the Engineering the Quantum Future Series: Quantum computing redefines our approach to complex challenges, expanding the scope of what's possible across multiple disciplines.
The moonshot of many roboticists is cooking up the proper hardware and software combination so that a machine can learn “generalist” policies (the rules and strategies that guide robot behavior) that work everywhere, under all conditions.
Even if you’re not very familiar with deep learning, you’ve probably heard about it and how it can, among
other things, help automate the driving experience, increase manufacturing efficiency and change the consumer
shopping experience.
CUDA Cores and Tensor Cores are specialized units within NVIDIA GPUs; the former are designed for a wide range of general GPU tasks, while the latter are specifically optimized to accelerate AI and deep learning through efficient matrix operations.
Explore the future of connected communities in intelligent cities and underserved regions, highlighting the role of technologies like 5G, AI, and blockchain in enhancing connectivity and promoting inclusive development.
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Researchers at EPFL have made a breakthrough in understanding how neural network-based generative models perform against traditional data sampling techniques in complex systems, unveiling both challenges and opportunities for AI's future in data generation.
In this episode, we discuss how 2 Carnegie Mellon University graduate students developed an AI system capable of giving you feedback on your interview performance in real time!
In this podcast, Sean Hehir, CEO of BrainChip, chats with Dr. Jason K. Eshraghian about neuromorphic computing benefits over traditional AI and its potential to revolutionize the future of computing. Listen in to learn how this emerging technology is shaping the world of AI.