Artificial intelligence can identify skin cancer in photographs with the same accuracy as trained doctors, say scientists. The Stanford University team said the findings were "incredibly exciting" and would now be tested in clinics. Eventually, they believe using AI could revolutionise healthcare by turning anyone's smartphone into a cancer scanner. Cancer Research UK said it could become a useful tool for doctors. The AI was repurposed from software developed by Google that had learned to spot the difference between images of cats and dogs.

Mexico's president: We will not pay for wall CNN 0:50 4 hrs ago Mexico's president: We will not pay for wall Cancer survivor's dad: Can parts of ACA stay? Cancer survivor's dad: Can parts of ACA stay? Rep. Gabbard, Kucinich meet with Assad in Syria FOX News 3:54 5 hrs ago President Trump's action on immigration sparks debate FOX News 6:03 Chapecoense worker on overcoming tragedy CNN 2:04 2 hrs ago Van Jones' theory on Trump, voter fraud CNN 1:48 3 hrs ago Scarlett Johansson getting divorced CNN 0:45 4 hrs ago Mexico's president: We will not pay for wall CNN 0:50 4 hrs ago Cancer survivor's dad: Can parts of ACA stay? Mexico's president: We will not pay for wall CNN 0:50 4 hrs ago Mexico's president: We will not pay for wall Cancer survivor's dad: Can parts of ACA stay? Cancer survivor's dad: Can parts of ACA stay?

Shivaram Kalyanakrishnan is an assistant professor in the department of computer science and engineering at the Indian Institute of Technology-Bombay. He specialises in artificial intelligence (AI) and is the only author from India who is part of an 18-member study panel of the Stanford University-hosted report titled Artificial Intelligence and Life. Kalyanakrishnan's expertise broadly fits in the area of machine learning. Called reinforcement learning, it defines what actions software agents should take to maximize a certain type of reward after learning from reward and punishment. In an interview, he urges people to be more optimistic about the things AI can do rather than be obsessed with the fear around AI machines.

Technology in the so-called Smart Machine Age, which includes AI, virtual reality and robotics, will bring huge changes not just in headcount, but also in how people innovate and collaborate. That will require new approaches to how people think, listen and relate, says Edward D. Hess, a professor of business administration at the University of Virginia. In the "Smart Age" now evolving, ego has no place. Instead, the focus will need to be on the quality of ideas, accuracy, emotional intelligence and mindfulness. Hess writes about these issues in the just-released book he co-authored with Katherine Ludwig, titled Humility is the New Smart: Rethinking Human Excellence in the Smart Machine Age. Hess discussed his ideas on the Knowledge@Wharton show on Wharton Business Radio, SiriusXM channel 111.

Entire medical labs built on a computer chip, humans with superhero vision and smart sensors that can detect pollution at the speed of light are just a few predictions IBM has made about life in 2022. The New York firm has released its '5 in 5 list', revealing new innovations that could change the way we work live and interact with each other over the next five years. Humans should expect to see advancements in artificial intelligence, smart sensors, telescopes, sensors and medical devices. IBM predicts that technology that will'listen' to speech patterns and then analyze them with a text analysis algorithm that can identify any issues. Technology will analyze patterns in speech and text that could hold clues to mental illness.

Artificial intelligence that reads and responds to our emotions is the killer app of the digital economy. It will make customers and employees happier--as long as it learns to respect our boundaries. When psychologist Dr. Paul Ekman visited the Fore tribe in the highlands of Papua New Guinea in 1967, he probably didn't imagine that his work would become the foundation for some of the latest developments in artificial intelligence (AI). After studying the tribe, which was still living in the preliterate state it had been in since the Stone Age, Ekman believed he had found the blueprint for a set of universal human emotions and related expressions that crossed cultures and were present in all humans. A decade later he created the Facial Action Coding System, a comprehensive tool for objectively measuring facial movement.

Banks around the world are being confronted with a record number of regulations, and those falling short of institutional obligations are paying a high price for their errors. In response, major financial institutions are grasping big data solutions in a bid to comply with often dense regulations and reduce regulatory breaches. "Considering many banks have grown organically, often via merger and acquisition, their data is not always consistent and well organised," according to James Arnett, a partner at business and technology consulting firm Capco. Mr Arnett believes that new tools can be created through the application of data analytics, which will transform banks compliance programmes from manual, non-scalable projects into lower-cost and automated processes. "There is a real opportunity for banking clients to embrace data analytics to answer the underlying theme of regulation strategically rather than to treat each regulation as a'tick-the-box' exercise," he says.

Web users searching for photos and cops looking for suspects in video already benefit from software that understands the content of images. Chris Gibson says it can also make it easier to find treatments for diseases not targeted by existing drugs. "By combining robotics and machine vision, we can work at large scale on hundreds of diseases simultaneously, using a small number of people," says Gibson, who is CEO and cofounder of the 40-person startup Recursion Pharmaceuticals. Recursion uses software to read out the results of high-throughput screening, which automates drug testing in cells. That isn't a new idea, but Recursion uses algorithms that inspect cells at an unusual level of detail.

The increasing use of artificial intelligence (AI) to analyze large patient data sets promises to change the face of population health management in a way that will be far reaching across the industry and a game changer to the way physicians monitor and care for their patients. AI's ability to raise the level of evidence-based medicine can help primary care physicians make better decisions in several areas. These include the ability to determine appropriate treatments for their patients and to how best to monitor their care during and after hospitalization, to improving efficiency and productivity in care team workflows and finding better ways to reduce overall costs associated with patient care. Supercomputers that compare and analyze large groups of patients' clinical data, diagnostic images and claims data, are capable of identifying subtle patterns and changes in health and wellness that can foreshadow the start of an illness, monitor the effectiveness of drug treatments and identify patients' health risks. For example, when researchers at the MRC London Institute of Medical Sciences, wanted to find out which patients with pulmonary hypertension had the greatest risk of heart failure, they used AI software to analyze images of patients' hearts and constructed a smart 3D heart that predicts patient survival rates.

Earlier this month we had CES 2017 in Las Vegas, a techie's mecca of new whiz-bang products set to hit the market, in some cases later this year, but in others in 2018 and beyond. A person tracking the CES trade shows over the years likely remembers the changes in inputs from clunky keyboards and standalone number pads to rollerball driven mice to laser based ones, which gave way to trackpads and touchscreen technology. Among the sea of announcements this year, there were a number that focused on one aspect of our Disruptive Technology investing theme that is shaping up to be the next big change in interface technology -- voice recognition technology. Over the years, there have been a number of fits and starts with voice technology dating all the way back to 1992 when Apple's own "Casper" voice recognition system that then CEO John Sculley debuted on "Good Morning America." As the years have gone by and the technology has been further refined, we've seen more uses for voice recognition technology in a variety of applications and environments ranging from medical offices to interacting with a car's infotainment system.