Deep learning predicts viral infections
Using fluoresence images from live cells, researchers have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses.
neural networks
Smart textiles: a programmable digital fiber
In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.
Neural networks speed up holographic imaging
Researchers have developed a holographic technique that can rapidly reconstruct microscopic images of samples with up to 50-fold acceleration compared to existing methods.
COVID-19: AIs shortcuts lead to misdiagnosis
Researchers discovered that AI models have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
When the robot smiles back
Researchers use AI to teach robots to make appropriate reactive human facial expressions, an ability that could build trust between humans and their robotic co-workers and care-givers.
Deep learning predicts lung cancer risk
An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a new study.
An AI-inspired theory of dreaming
The overfitted brain: Our dreams' weirdness might be why we have them, argues a researchers in new theory of dreaming.
Integrating imaging with deep neural networks
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
AI makes great microscopes better than ever
Machine learning helps some of the best microscopes to see better, work faster, and process more data.
Brain-on-a-chip would need little training
A neural network that mimics the biology of the brain can be loaded onto a microchip for faster and more efficient artificial intelligence.
AI could crack the language of cancer
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
Algorithm designs soft robots that sense
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Smart system detects errors when medication is self-administered
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
Using AI to generate 3D holograms in real-time
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Brain-computer interface generates personally attractive images
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Deep learning tool to revolutionize microscopy
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
Explainable AI for decoding genome biology
Researchers have developed advanced explainable AI in a technical tour de force to decipher regulatory instructions encoded in DNA.
AI identifies 'ugly ducklings' to catch skin cancer
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Designing medical deep learning systems
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
'Liquid' machine learning system adapts to changing conditions
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
How to train a robot - using AI and supercomputers
Computer scientists use TACC systems to generate synthetic objects for robot training.
Smart apps help people with hearing loss
Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
Biomedical research: deep learning outperforms machine learning
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Using light to revolutionize AI
Researchers have developed a new photonic processor that could revolutionize artificial intelligence.
Self-learning algorithms analyze imaging data
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
Computer simulation will accelerate development of 'smart robots'
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
Wearable shines light on benefits of outdoor lighting
A device could help scientists better understand the health benefits of outdoor lighting and lead to wearables that could nudge users to get more outdoor time.
Neural network learns when it should not be trusted
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
Diabetes: Computer vision app allows easier monitoring
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.