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.
deep learning
Deep learning, a subset of machine learning, draws on artificial neural networks that are designed to imitate how humans think and learn. That means it is capable of learning from data that is unstructured or unlabelled.
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 Assesses risk of cardiovascular disease
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
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.
Image fusion method uses AI to improve outcomes
Researchers have developed a new "multi-modal" image fusion method based on supervised deep learning that enhances image clarity, reduces redundant image features and supports batch processing.
A new framework for machine speech translation
Researchers propose a deep learning-based model for mimicking and continuously modifying speaker voice identity during speech translation.
Mixed reality gets machine learning upgrade
Scientists at Osaka University employed deep learning to improve mobile mixed reality generation.
Algorithm designs soft robots that sense
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
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.
AI method can detect precursors to cervical cancer
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
Engineers build smart robotic exoskeletons
Researchers are developing exoskeletons and prosthetic legs capable of thinking and making control decisions on their own using AI technology.
Wristband predictings pediatric seizures
Researchers have evaluated whether data derived solely from these wristbands could accurately predict various types of seizures in pediatric patients.
Deep learning tool to revolutionize microscopy
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
Sensor for robots mimicks skin characteristics
Researchers have developed a new soft tactile sensor with skin-comparable characteristics.
AI, holographic microscopy beat scientists at analyzing immunotherapy
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
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.
AI makes strides in search for COVID-19 treatments
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
How to train a robot - using AI and supercomputers
Computer scientists use TACC systems to generate synthetic objects for robot training.
Robot learns fast and safe navigation strategy
Researchers have proposed a new framework for training mobile robots to quickly navigate while maintaining low collision rates.
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 AI to find new uses for existing medications
Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
Deep learning-based image segmentation
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Opening the ‘black box’ of AI
AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.
AI sees and hears COVID-19 in your lungs
Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.
Deep learning tool measures volume of cerebral ventricles
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
How AI can improve medical imaging
AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
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.
Deep learning enables screening for eye disease
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
