Lifeboat Foundation

Chinese electronics giant Huawei on Saturday unveiled its first mobile personal assistant with artificial intelligence in Berlin, in hopes it will rival the dominance of Samsung’s Bixby and Apple’s Siri.

“Smartphones are smart but they are not intelligent enough,” Richard Yu, chief executive of Huawei’s Consumer Business Group, said at this year’s IFA electronics fair.

The mobile assistant, called Kirin 970, will systematically respond to three questions—” the most important combination,” Yu said: Where is the user? Who are they and what are they doing?

Say hello to Temi. Wired reports that this sleek, 3-foot robot with a tablet for a face is essentially a kind of travelling AI butler for your home—a Siri or Alexa, only on wheels. It will come rolling when you holler. It can use facial recognition to follow people around, so they can watch TV or Skype as they stroll. And it taps Google’s artificial intelligence to help answer your questions. A run of 1,000 robots will be made available November by its maker, Roboteam, and it’s planned to cost under $1,500 when it launches widely next year. But, as we’ve argued in the past, these kinds of domestic robots are more a source of entertainment than much practical use, and are certainly not the kinds of practical machines that may one day be able to take over some of your household chores. For now, you might be better off carrying your phone around the home—especially if you have stairs.

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From smartphones to supercomputers, the growing need for smaller and more energy efficient devices has made higher density data storage one of the most important technological quests.

Now scientists at the University of Manchester have proved that storing data with a class of molecules known as single-molecule magnets is more feasible than previously thought.

The research, led by Dr David Mills and Dr Nicholas Chilton, from the School of Chemistry, is being published in Nature. It shows that magnetic hysteresis, a memory effect that is a prerequisite of any data storage, is possible in individual molecules at −213 °C. This is tantalisingly close to the temperature of liquid nitrogen (−196 °C).

Continue reading “Major leap towards storing data at the molecular level” »

The risk factor is that iCarbonX is handling more than personal data, but potentially vulnerable data as the company uses a smartphone application, Meum, for customers to consult for health advice. Remember that the Chinese nascent genomics and AI industry relies on cloud computing for genomics data-storage and exchange, creating, in its wake, new vulnerabilities associated with any internet-based technology. This phenomenon has severe implications. How much consideration has been given to privacy and the evolving notion of personal data in this AI-powered health economy? And is our cyberinfrastructure ready to protect such trove of personal health data from hackers and industrial espionage? In this new race, will China and the U.S. have to constantly accelerate their rate of cyber and bio-innovation to be more resilient? Refining our models of genomics data protection will become a critical biosecurity issue.

Why is Chinese access to U.S. genomic data a national security concern?

Genomics and computing research is inherently dual-use, therefore a strategic advantage in a nation’s security arsenal.

Continue reading “The Great US-China Biotechnology and Artificial Intelligence Race” »

This virtually indestructible phone is for you.

Death, taxis and technology: titles in the running for this year’s Financial Times and McKinsey Business Book of the Year give a new twist to the old maxim about certainty.

The 17 books on the 2017 longlist include analyses of the implications of world-changing innovations, from the iPhone to drones; a lively account of the rise of Uber; and a sobering history of the role war, plague and catastrophe have played in shaping our economies.

Titles about the relentless march of technology dominate the FT/McKinsey annual prize.

In a major step towards creating a tricorder, University of Illinois at Urbana-Champaign researchers have invented a device that allows smartphones to perform the kinds of lab-grade medical diagnostic tests that previously had to be done on large and expensive instruments.

The device, called a spectral transmission-reflectance-intensity (TRI)-Analyzer, plugs into a smartphone and is able to run tests on a patient’s blood, urine, or saliva as reliably as clinic-based instruments that cost thousands of dollars. The researchers say their TRI Analyzer costs only $550.

“Our TRI Analyzer is like the Swiss Army knife of biosensing,” said Prof. Brian Cunningham, the Donald Biggar Willett Professor of Engineering and director of the Micro + Nanotechnology Lab at Illinois.

Continue reading “Researchers Enable Lab-Grade Medical Tests on Smartphones” »

With sufficient training on digitized writing, spoken words, images, video streams and other digital content, ML has become the basis of voice recognition, self-driving cars, and other previously only-imagined capabilities. As billions of phones, appliances, drones, traffic lights, security systems, environmental sensors, and other radio-connected devices sum into a rapidly growing Internet of Things (IoT), there now is a need to apply ML to the invisible realm of radio frequency (RF) signals, according to program manager Paul Tilghman of DARPA’s Microsystems Technology Office. To further that cause, DARPA today announced its new Radio Frequency Machine Learning Systems (RFMLS) program. Find out more: http://www.darpa.mil/news-events/2017-08-11a