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Artificial intelligence needs to be developed with an ethical framework.

Who is Siri?

Is this face just an assembly of computer bits?

An accurate and computationally efficient molecular level description of mesoscopic behavior of ice-water systems remains a major challenge. Here, we introduce a set of machine-learned coarse-grained (CG) models (ML-BOP, ML-BOPdih, and ML-mW) that accurately describe the structure and thermodynamic...

A neural network can read scientific papers and render a plain-English summary.

Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.

Do you know what happens when you share your data?

As machine learning progresses, its applications include faster, more accurate medical diagnoses.

Predicting protein structure from sequence is a central challenge of biochemistry. Co‐evolution methods show promise, but an explicit sequence‐to‐structure map remains elusive. Advances in deep learning that replace complex, human‐designed pipelines with differentiable models optimized end‐to‐end...

Familial hypercholesterolemia (FH) is an underdiagnosed dominant genetic condition affecting approximately 0.4% of the population and has up to a 20-fold increased risk of coronary artery disease if untreated. Simple screening strategies have false positive rates greater than 95%. As part of the FH...

Failure to attend scheduled hospital appointments disrupts clinical management and consumes resource estimated at £1 billion annually in the United Kingdom National Health Service alone. Accurate stratification of absence risk can maximize the yield of preventative interventions. The wide...

Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.

A SenseTime artificial intelligence system monitors an intersection in China.

Technology can significantly improve governments’ surveillance abilities.

Illegal trade in wildlife has now moved onto social media.

By informing timely targeted treatments, rapid whole-genome sequencing can improve the outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and pediatric intensive care units (ICUs). The need for highly qualified professionals to decipher results, however...

Machine learning has gained widespread attention as a powerful tool to identify structure in complex, high-dimensional data. However, these techniques are ostensibly inapplicable for experimental systems with limited data acquisition rates, due to the restricted size of the dataset. Here we...

Although all minimally invasive procedures involve navigating from a small incision in the skin to the site of the intervention, it has not been previously demonstrated how this can be performed autonomously. To show that autonomous navigation is possible, we investigated it in the hardest place to...

Purpose: Tumors are continuously evolving biological systems, and medical imaging is uniquely positioned to monitor changes throughout treatment. Although qualitatively tracking lesions over space and time may be trivial, the development of clinically relevant, automated radiomics methods that...

The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.