U.S. lawmakers authorized a slew of national programs that promote artificial intelligence research, development, and deployment, and support efforts to make sure the results are ethical and trustworthy.

A survey of AI in large companies sees boom times ahead — if AI teams can get past issues that surround implementation. Businesses of all sizes are using more machine learning, spending more on it, and hiring more engineers to wrangle it.

Look at the tip of a standard #2 pencil. Now, imagine performing over one trillion multiplication operations in the area of that pencil tip every second. This can be accomplished using today’s 7nm semiconductor technology.

Institutional hurdles to AI for medicine began to fall, setting the stage for widespread clinical use of deep learning in medical devices and treatments. DeepMind’s AlphaFold model determined the three-dimensional shape of a protein in just hours.

AI accelerated the search for a coronavirus vaccine, detected Covid-19 cases, and otherwise softened the pandemic’s blow. Machine learning researchers worldwide scrambled to harness the technology against the coronavirus.

A computer vision system is helping to keep runners with impaired vision on track.What’s new: A prototype smartphone app developed by Google translates camera images into audio signals.

The U.S. government’s effort to take advantage of AI has not lived up to its promise, according to a new report. Implementations of machine learning systems by federal agencies are “uneven at best, and problematic and perhaps dangerous at worst".

The world’s most sophisticated language model won’t replace your doctor anytime soon. Researchers at Nabla, an AI-enabled healthcare platform, found that GPT-3 lacks the logical reasoning skills to be a useful medical chatbot.

What if AI requires so much computation that it becomes unaffordable?The fear: Training ever more capable models will become too pricey for all but the richest corporations and government agencies. Rising costs will

Will AI that discriminates based on race, gender, or economic status undermine the public’s confidence in the technology? Seduced by the promise of cost savings and data-driven decision making, organizations will deploy biased systems that end up doing real-world damage.

Two European capitals launched public logs of AI systems used by the government. Amsterdam and Helsinki provide online registries that describe the algorithms that govern municipal activities, such as automated parking control and a public health chatbot.

New guidelines for reporting on experiments with medical AI aim to ensure that such research is transparent, rigorous, and reliable. Spirit-AI and Consort-AI are complementary protocols designed to improve the quality of clinical trials for AI-based interventions.

For people with neurological disorders like epilepsy, attaching sensors to the scalp to measure electrical currents within the brain is benign. But interpreting the resulting electroencephalogram (EEG) graphs can give doctors a headache.

A prosthetic leg that learns from the user’s motion could help amputees walk more naturally. Researchers from the University of Utah designed a robotic leg that uses machine learning to generate a human-like stride.

A new report details the role of AI in China’s effort to fight the coronavirus. Researchers at Synced, a China-based AI publication, describe how nearly 90 machine learning products have contributed to the country’s pandemic response.