If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The developer of a popular app which transforms users' faces to predict how they will look as older people has insisted they are not accessing users' photographs without permission. FaceApp, which was launched by a Russian developer in 2017, uses artificial intelligence allowing people to see how they would look with different hair colour, eye colour or as a different gender. The app has topped download charts again this week, after users homed in on its ageing filter, which has since been used by dozens of celebrities and prominent figures to picture how they will supposedly look in several decades' time. This surge of interest has in turn created concerns that FaceApp is systematically harvesting users' images. People who upload their image to the app transfer the picture to a server controlled by the developer, with the photograph processing done remotely, rather than on their phone.
Learning new skills can make older people's brains three decades younger in just six weeks, according to a new study. Taking up three new tasks at the same time boosts mental power and protects against Alzheimer's disease, scientists have found. These skills may range from language lessons to using an iPad, photography, writing music or painting. Taking up three new skills, such as language lessons or learning how to use an iPad, at the same time can make older people's brains three decades younger in just six weeks (file photo) The course workload would be similar to an undergraduate's and adds to growing evidence that dementia is avoidable through lifestyle changes. After less than two months, those in their 80s increased their cognitive abilities to levels similar to those seen in someone in their 50s.
A daredevil retired pilot has been captured on camera performing loops, rolls and a dramatic dive while flying the'world's smallest' twin-jet aircraft. Bob Grimstead, 70, flew at an altitude of 5,000ft (1,524m) in the diminutive plane which has been described as a'bubble car with wings'. At just 13ft (4m) long, 4ft (1.2m) wide and weighing a mere 180lbs, Mr Grimstead, from West Sussex, was able to reach speeds of 140mph (225kmh). The former British Airways airline pilot used to fly 400 tonne jumbo jets and said he had no fear taking to the skies in the micro plane and said it was'superb fun'. Bob Grimstead, 70, (pictured) flew the diminutive jet at 5,000ft (1,524m).
In a related editorial, R. Jeffrey Westcott, MD, and James E. Tcheng, MD, said Zack and colleagues' findings support the idea that machine learning could outperform classical statistical approaches to risk prediction--but it'll take some work to make it an industry standard. "Transforming healthcare, and, more specifically, transforming the management of data within healthcare to enable AI and its siblings, requires foundational investment and culture change," the editorialists wrote. They said artificial intelligence and machine learning will undoubtedly become "increasingly important in clinical medicine" as we move forward, with equity funding for healthcare-related AI ventures topping $2.4 billion in 2018. "Machine learning has proven to be valuable and is therefore the future," Westcott and Tcheng wrote. "Data warehouses and data lakes contain amazing amounts of structured and unstructured data that will change how medical research, drug and device trials, and device tracking are done. A collaborative effort is needed with EHR vendors, third-party vendors, professional societies and others to start meaningful standardized data collection and workflow redesign now."
SONAL SHAH: It's also about how do we make data more useful for people to use and to solve problems in their communities? TANYA OTT: Okay, that is a big job. Who is this superhuman who fills it? TANYA OTT: We'll tell you, in a moment. But first, let me say, you're listening to the Press Room, where we talk about some of the biggest issues facing businesses today. I'm Tanya Ott and joining me today are Bill Eggers … I am the executive director and a professor of practice at Georgetown University's Beeck Center. TANYA OTT: Bill and Sonal are coauthors of The CDO Playbook – a guide for Chief Data Officers. For the last decade, government has been focused on making data more open and easily [accessible] to the public.
In 2015, computer scientist and AI pioneer, Stuart Russell, became the first signatory of an open letter calling on researchers to ensure "that increasingly capable AI systems are robust and beneficial." Stuart joins Azeem Azhar to discuss the possible AI futures and how to ensure technology serves the good of humanity.
The human brain with less than 20 W of power consumption offers a processing capability that exceeds the petaflops mark, and thus outperforms state-of-the-art supercomputers by several orders of magnitude in terms of energy efficiency and volume. Building ultra-low-power cognitive computing systems inspired by the operating principles of the brain is a promising avenue towards achieving such efficiency. Recently, deep learning has revolutionized the field of machine learning by providing human-like performance in areas, such as computer vision, speech recognition, and complex strategic games1. However, current hardware implementations of deep neural networks are still far from competing with biological neural systems in terms of real-time information-processing capabilities with comparable energy consumption. One of the reasons for this inefficiency is that most neural networks are implemented on computing systems based on the conventional von Neumann architecture with separate memory and processing units.
Nearly all Fortune 500 companies – more than 98 percent – plus an increasing number of smaller businesses filter resumes using an applicant tracking system before they ever make it to a human hiring manager, according to a 2018 analysis of job listings by resume optimization service Jobscan. "And it's only a matter of time before AI-enabled tools become even more prevalent," says Lisa Rangel, former recruiter and managing director of Chameleon Resumes. "Many larger companies are already using AI-candidate screening tools that focus on the whole candidate and not just a resume. As these tools become more mainstream and affordable, they will become more widely used." AI is infiltrating many processes related to recruiting and hiring, according to Al Smith, CTO with talent acquisition software provider iCIMS.
In another sign that smart technology is transforming the farming industry, engineers at the University of Cambridge have developed a robot that uses machine learning to pick lettuce. The robot, dubbed "Vegebot", has been designed to first identify iceberg lettuce and then decide if it is healthy and ready to be picked, the university said Monday. If this is the case, it will then cut the lettuce without damaging it. The Vegebot was first trained to identify and pick the delicate crop in a laboratory and has now undertaken successful tests in a range of field conditions. The university added that while the prototype device was neither as fast or efficient as a human, it showed how robots could be used in agriculture on a wider scale.