The authors thank their colleague, Leonid Tsap, for his assistance with this post. Less than 1% of Americans live to age 100. It is believed that these centenarians, and similarly long-lived individuals, may have protective molecular factors that help reduce risk or delay the onset of age-related disabilities and diseases. NIA has a longstanding interest in studying exceptional longevity because it could lead to the development of novel drugs and therapies based on these protective factors. NIA-supported studies of exceptional longevity and related research have begun to generate "multi-omics" data sets that map the complex, multilayered interplay of genetics, metabolism, proteins, and other variables.

A crucial role for artificial intelligence and machine learning. NIA-supported studies of exceptional longevity and related research have begun to …

Successful organizations have long known that their employees are their biggest asset, but recent job numbers show how hard organizations have to work to retain them. According to the U.S. Department of Labor's Job Openings and Labor Turnover Survey, the rate of quit levels remained significant at 4.2 million in December 2021 while job openings continued to be high at 10.9 million. This is a strong indication that the pandemic has turned the tables on the employer-employee dynamic. As lines between work and life have blurred for many – employees have started to reassess what's important to them and in turn, what they expect from their employers. Of course, salaries and benefits are still important, but they are considered table stakes.

"In God we trust, all others must bring data." The "data economy" has been underway for a couple of decades now, where data has been recognized as an asset vital to the business. Enterprises over time have developed robust processes, policies, organizations, and platforms to manage, monitor, and measure the quality, relevancy and availability of data for business needs at every step of a data life cycle. In the modern era, the "Economics of Artificial Intelligence (AI)" is what revolutionizes business today. AI is perhaps best applied when it replaces human intelligence.

Artificial intelligence (AI) has the potential to affect ever more aspects of military and civilian life as part of the fourth industrial revolution. Countries are racing for global AI dominance, and whoever'wins' shall reap the economic and geopolitical power expected to result. However, AI-enhanced technologies could pose new security risks that have not been encountered before. Ultimately, this paper argues that the UK and the EU should approach outsourcing critical communications infrastructure with caution and take recent security concerns involving China more seriously. The UK Project on Nuclear Issues 2020 papers can be found here and recording can be viewed here.

As an internist, Dr. Joann Elmore was taught to ask questions. Those questions led her to spend much of her career in breast cancer research where she found extensive variability among radiologists' interpretation of mammograms. "Radiology data is subjective, just like art. You're being asked to classify visual data," Elmore says. It wasn't until she was on the receiving end of a Friday night phone call alerting her to a "suspicious" skin biopsy, however, did Elmore's interest in melanoma peak.

I've always loved movie robots, even the bad ones. But as the machines around us become unnervingly smarter, it's hard not to worry that artificial intelligence with malign intent--some version of the Terminator or HAL--will eventually be unleashed on the real world. Stephen Hawking warned that "the development of full artificial intelligence could spell the end of the human race." And when the Oxford philosopher Toby Ord examined a host of existential threats--asteroids, nuclear war, climate change--for his bracing book The Precipice, he ranked "unaligned artificial intelligence" the most probable of all. Plunging into the latest crop of AI books, I was somewhat comforted by experts' consensus that "the singularity"--the point at which AI surpasses human intelligence--is not imminent; guesses about the timing range from a few decades to centuries from now.

AI has the ability to transform every aspect of our lives, from automating our homes and informing commercial decisions to performing complex surgery. The applications of AI are far and wide, but how can we leverage this emerging technology for business? Professor Whittle is an experienced research and education leader – and a world-renowned software engineering specialist. Formerly the Technical Area Lead at NASA Ames Research Center, he's received extensive recognition including two 10-year research impact awards and the CEO Magazine's 2019 Education Executive of the Year award. Dr Catherine is an industry leader and educator in big data, machine learning and analytical management.

Over 700 Earth observation satellites are orbiting our planet, transmitting hundreds of terabytes of data to downlink stations every day. Processing and extracting useful information is a huge data challenge, with volumes rising quasi-exponentially. And, it's not just a problem of the data deluge: our climate system, and environmental processes more widely, work in complex and non-linear ways. Artificial intelligence and, in particular, machine learning is helping to meet these challenges, as the need for accurate knowledge about global climate change becomes more urgent. ESA's Climate Change Initiative provides the systematic information needed by the UN Framework Convention on Climate Change.

New Cleveland Clinic-led research shows that artificial intelligence (AI) can use medical scans and health records to personalize the dose of radiation therapy used to treat cancer patients. Published June 27 in The Lancet Digital Health, the research team developed an AI framework based on patient computerized tomography (CT) scans and electronic health records. This new AI framework is the first to use medical scans to inform radiation dosage, moving the field forward from using generic dose prescriptions to more individualized treatments. Currently, radiation therapy is delivered uniformly. The dose delivered does not reflect differences in individual tumor characteristics or patient-specific factors that may affect treatment success.