Having a smartphone in reach reduces brainpower even when switched off, finds report

The Independent

The mere presence of a smartphone reduces cognitive capacity, adversely affecting the brain's ability to hold and process data at any given time, according to a new study. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo. A Toyota Motors employee demonstrates a smartphone app with the company's pocket plug-in hybrid (PHV) service on the cockpit of the latest Prius hybrid vehicle during Toyota's "connected strategy" press briefing in Tokyo An employee shows a Samsung Electronics' Gear S3 Classic during Korea Electronics Show 2016 in Seoul, South Korea Visitors experience Samsung Electronics' Gear VR during the Korea Electronics Grand Fair at an exhibition hall in Seoul, South Korea Amy Rimmer, Research Engineer at Jaguar Land Rover, demonstrates the car manufacturer's Advanced Highway Assist in a Range Rover, which drives the vehicle, overtakes and can detect vehicles in the blind spot, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire Chris Burbridge, Autonomous Driving Software Engineer for Tata Motors European Technical Centre, demonstrates the car manufacturer's GLOSA V2X functionality, which is connected to the traffic lights and shares information with the driver, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight. We provide evidence that the mere presence of consumers' smartphones can adversely affect two measures of cognitive capacity – available working memory capacity and functional fluid intelligence – without interrupting sustained attention or increasing the frequency of phone-related thoughts.

iOS 11 beta: Should you download Apple's new software for iPhone and iPad?

The Independent

The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art ...

I learned how to break bad news to patients and loved ones more from business school than medical school

Los Angeles Times

Like most doctors, I spent four years in medical school learning to treat hundreds of illnesses and help patients manage their health. I spent very little of this time learning how to work with patients when modern medicine runs out of miracles -- and only a few hours, spread over four years, learning to lead end-of-life conversations and deliver bad news. A recent study of medical curricula, published last year in the American Journal of Hospice and Palliative Medicine, found that the average time dedicated to end-of-life care is 13 hours spread across multiple courses over four years. Medical schools need to teach doctors to do the same.

How to use Watson Speech to Text utilities to increase accuracy - Artificial Intelligence


I thought I would take a moment to play with Watson Speech to Text and a utility that was released a few months ago. So the purpose of asking about a puppy is that I have a sample conversation system that is about buying a dog. Learn how to use Watson Speech to Text API to increase your accuracy. We've included links S2T utilities download links and sample .wav I thought I would take a moment to play with Watson Speech to Text and a utility that was released a few months ago.

'Genuinely disruptive'


For many years, machine learning was simply another technical innovation with potential for change but little real impact. By contrast, the current generation of machine-learning tools (including UNSILO) are probabilistic, using statistical tools to identify core concepts using only the content supplied, without using any prior taxonomy - in other words, working from the bottom up. For example, UNSILO provides a simple tool that checks an article abstract and enables the author (or publisher) to identify key concepts from the text that were not included in the abstract. It has always been prohibitively expensive for publishers to provide manual curation of abstracts, and this new tool enables publishers to genuinely add value to author content.

PwC's Global Artificial Intelligence Study: Sizing the prize


Business leaders are asking: What impact will AI have on my organisation, and is our business model threatened by AI disruption? These are the strategic questions we'll be addressing in a series of reports designed to help enterprises create a clear and compelling business case for AI investment and development. Through our AI Impact Index, we also look at how improvements to personalisation/customisation, quality and functionality could boost value, choice and demand across nearly 300 use cases of AI, along with how quickly transformation and disruption are likely to take hold. Other key elements of the research include in-depth sectorby-sector analyses.

System of quadcopters that fly and drive suggest another approach to developing flying cars


The ability to both fly and drive is useful in environments with a lot of barriers, since you can fly over ground obstacles and drive under overhead obstacles, says PhD student Brandon Araki, lead author on the paper. The project builds on Araki's previous work developing a flying monkey robot that crawls, grasps, and flies. Rus says that systems like theirs suggest that another approach to creating safe and effective flying cars is not to simply put wings on cars, but to build on years of research in adding driving capabilities to drones. As we begin to develop planning and control algorithms for flying cars, we are encouraged by the possibility of creating robots with these capabilities at small scale, Rus says.

Inside the black box: Understanding AI decision-making ZDNet


Neural networks, machine-learning systems, predictive analytics, speech recognition, natural-language understanding and other components of what's broadly defined as'artificial intelligence' (AI) are currently undergoing a boom: research is progressing apace, media attention is at an all-time high, and organisations are increasingly implementing AI solutions in pursuit of automation-driven efficiencies. Neural networks are a particular concern not only because they are a key component of many AI applications -- including image recognition, speech recognition, natural language understanding and machine translation -- but also because they're something of a'black box' when it comes to elucidating exactly how their results are generated. This'black box' problem was addressed in a recent paper from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), which examined neural networks trained on text-based data using a system comprising two modules -- a'generator' and an'encoder'. Many people -- including Stephen Hawking, Elon Musk and leading AI researchers -- have expressed concerns about how AI might develop, leading to the creation of organisations like Open AI and Partnership on AI aimed at avoiding potential pitfalls.

How to Implement AI and Machine Learning ZDNet


The next wave of IT innovation will be powered by artificial intelligence and machine learning. We look at the ways companies can take advantage of it and how to get started.

First DeepMind AI conquered Go. Now it's time to stop playing games


DeepMind's AlphaGo artificial intelligence shut out the world's best Go player, 19-year-old Ke Jie, ending their series at 3-0 in late May. For the same reason, DeepMind probably won't teach a machine to play Arimaa, a board game developed with the specific purpose of being difficult for machines to play. From Deep Blue facing Kasparov, to AlphaGo squaring up to Ke Jie, there have always been detractors who have claimed that the computer players have been programmed with a specific opponent in mind. In DeepMind's blog post officially announcing AlphaGo's retirement from competitive play, Hassabis and Silver noted that the team behind the technology is moving on to algorithms that could help with tasks like "finding new cures for diseases, dramatically reducing energy consumption, or inventing revolutionary new materials."