GPUs excel in parallel processing for graphics and AI training with scalability, while NPUs focus on low-latency AI inference on edge devices, enhancing privacy by processing data locally. Together, they complement each other in addressing different stages of AI workloads efficiently.
Be the first to know.
Get our neural network weekly email digest.
Tagged with
neural network
Latest Posts
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
Liu and team receive NSF EFRI grant for biocomputing research
New tool AI Psychiatry recovers compromised deep-learning models so researchers can understand what went wrong.
2 minutes read
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.
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.
3 minutes read
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.
In this episode, we discuss research coming out of the Karlsruhe Institute of Technology to detect the emotions of tennis players better than humans can!
13 minutes read
Researchers at KIT have developed a model for emotion analysis that can determine affective states with similar accuracy to a human
3 minutes read
NVIDIA TAO and Edge Impulse integrate to streamline the development and deployment of edge AI models, empowering developers to quickly build and optimize AI applications for diverse hardware environments.
AI is having an impact on hiring processes, employee retention, and workplace conditions.
Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.
3 minutes read
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
In this episode, we talk about MIT researchers making a smart tool (like a robot scientist) that uses AI to understand and explain how other AI brains (neural networks) work.
14 minutes read