deep learning

Deep learning, a subset of machine learning, draws on artificial neural networks that are designed to imitate how humans think and learn. We report the use in disease diagnostic, e.g. in imaging, research and its application in technologies such as robotics or wearables.

#brain-computer interface

'Deepfaking the mind' to improve brain-computer interfaces

Researchers are using generative adversarial networks to improve brain-computer interfaces for people with disabilities.

Diabetes retinal screening through deep learning

Ubotica has developed a deep learning-based solution for detecting the presence of diabetic retinopathy indicators in retinal images.

Quantum sensors for next-gen brain-computer interfaces

Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.

AI picks up mutations in colorectal cancers

A deep learning algorithm picks up molecular pathways and the development of key mutations more accurately than existing methods.

#artificial intelligence

Researchers psychoanalyse artificial intelligence

We can run tests and experiments, but we cannot always predict and understand why AI does what it does.

#artificial intelligence

The progress and risks of artificial intelligence

Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.

AI identifies drug combinations to fight COVID-19

Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.

AI screens and diagnoses glaucoma

Scientists have developed a novel method that uses artificial intelligence to screen for glaucoma.

AI and simulation tools to fight COVID-19

Argonne, industry and academia collaborate to bring innovative AI and simulation tools to the COVID-19 battlefront.

Deep learning: classifying brain tumors with a single 3D MRI scan

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.

AI assesses metastatic potential in skin cancers

Using a deep learning algorithm, researchers have developed a way to accurately predict which skin cancers are highly metastatic.

'Origami' testing app tackles spread of malaria

A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in Uganda.

Deep learning-based holographic point-of-care sensor

Researchers have developed a rapid and cost-effective particle agglutination based sensor that is powered by holographic imaging and deep learning

Disinfection robot lends hospitals a big hand

Researchers have developed a smart functional robot that realized simultaneous disinfection of both air and object surface.

Deep learning helps visualize X-ray data in 3D

Scientists have leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.

Artificial intelligence shortcuts introduce bias in cancer treatment

AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.

Artificial intelligence rapidly computes protein structures

Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.

Drone helps elderly escape from burning nursing homes

Students at TU Eindhoven developed the world's first interactive drone that can transmit emotions.

Using AI to predict 3D printing processes

Engineers use Frontera supercomputer to develop physics-informed neural networks for additive manufacturing.

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.

AI app could help diagnose HIV more accurately

New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.

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.

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.