Tag: Machine Learning
-
Conference: Scientific discovery in the age of AI
Experts from academia, industry and government discussed the growing utility of generative AI in science and what’s coming next.
-
Up to 30% of the power used to train AI is wasted. Here’s how to fix it.
Smarter use of processor speeds saves energy without compromising training speed and performance.
-
Precision health and advanced communications: €9M ($10M) for bio-inspired nanoparticles on demand
Advanced microscopy techniques and AI models will help design complex nanoparticles for specific biological targets with less trial and error.
-
Versatile knee exo for safer lifting
Helping out the quad muscles kept study participants lifting safely despite fatigue, with an algorithm that smoothly shifts between lifting and carrying tasks.
-
Clinicians could be fooled by biased AI, despite explanations
Regulators pinned their hopes on clinicians being able to spot flaws in explanations of an AI model’s logic, but a study suggests this isn’t a safe approach.
-
Understanding attention in large language models
How do chatbots based on the transformer architecture decide what to pay attention to in a conversation? They’ve made their own machine learning algorithms to tell them.
-
Outsmarting floodwaters
The world needs better tools to protect people during floods. A new machine learning method could help.
-
Open source platform enables research on privacy-preserving machine learning
Virtual assortment of user devices provides a realistic training environment for distributed machine learning, protects privacy by learning where data lives.
-
Machine learning begins to understand the human gut
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
-
Update: Augmented reality engineering startup lands $1.1M SBIR grant
University of Michigan to explore inventive uses for the technology, including material science, biology and medicine
-
Immune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks.
-
Open-source patient model tops industry standard
Tested without needing hospitals to share data, the method for developing the model could speed further improvements in medical prediction tools.