Wevolver | Neural Network Articles

Improving predictions of flood severity, place and time with AI

A novel framework offers accurate water flow predictions and simulations with unprecedented efficiency

The Expanding Reach of AI: Exploring Intelligence Beyond LLMs

Article #1 of Confronting AI Series: AI is rapidly evolving beyond language models, quietly transforming fields like vision, prediction, and control. Explore how diverse AI techniques are solving complex challenges where text-based approaches fall short.

How AIs understand words

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI like chatbots so good at understanding and using words.

NPU vs GPU: Understanding the Key Differences and Use Cases

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.

Photonic processor could enable ultrafast AI computations with extreme energy efficiency

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.

Harnessing scalability, adaptability, and efficiency of biological neural networks through flexible brain-computer interfaces

Liu and team receive NSF EFRI grant for biocomputing research

The Sherlock Holmes of AI

New tool AI Psychiatry recovers compromised deep-learning models so researchers can understand what went wrong.

Bringing the Next Evolution of Machine Learning to the Edge

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.

Creating and verifying stable AI-controlled systems in a rigorous and flexible way

Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.

Navigating the labyrinth: How AI tackles complex data sampling

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.

BrainChip Podcast: Neuromorphic Computing Shaping the Future of AI With Dr. Jason K. Eshraghian

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.