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Category: robotics/AI
The U.S. military is investing billions of dollars each year in developing autonomous technologies that could enable planes, helicopters and drones to fly into some of the world’s most dangerous places, without a human pilot.
AI-empowered systems may soon allow autonomous flying machines to reduce the number of pilots and soldiers working in high-risk environments. Could these flying robots also be firing weapons? WSJ’s Jason Bellini reports, in the latest episode of Moving Upstream.
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As ESA’s ɸ-week continues to provoke and inspire participants on new ways of using Earth observation for monitoring our world to benefit the citizens of today and of the future, it is clear that artificial intelligence is set to play an important role.
Taking place at ESA’s centre of Earth observation in Frascati, Italy, on 12–16 November, ɸ-week has drawn hundreds of people from numerous disciplines to explore innovation, new technologies and cross disciplinary cooperation – to see how satellite data coupled with new technologies such as artificial intelligence can bring benefits to science, business, the economy and society at large.
One might initially associate artificial intelligence and machine learning with robots and science fiction. However, it is, without question, seeping into our everyday lives through, for example, digital advertising, speech recognition tools and innovations such as Apple’s Siri and Amazon’s Alexa.
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NVIDIA’s playing a bigger role in high performance computing than ever, just as supercomputing itself has become central to meeting the biggest challenges of our time.
Speaking just hours ahead of the start of the annual SC18 supercomputing conference in Dallas, NVIDIA CEO Jensen Huang told 700 researchers, lab directors and execs about forces that are driving the company to push both into “scale-up” computing — focused on large supercomputing systems — as well as “scale-out” efforts, for researchers, data scientists and developers to harness the power of however many GPUs they need.
“The HPC industry is fundamentally changing,” Huang told the crowd. “It started out in scientific computing, and the architecture was largely scale up. Its purpose in life was to simulate from first principles the laws of physics. In the future, we will continue to do that, but we have a new tool — this tool is called machine learning.”
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Bullets that never miss, super soldiers with extreme strength and robot warriors capable of rising up against humans may sound like the stuff of science fiction… but the truth is that they have all already been developed.
A top-secret US government body called the Defense Advanced Research Projects Agency (DARPA) is behind these space-age innovations, which it has developed as part of its mission to revolutionize the way America fights the wars of the future. (Just think of Q’s lab in James Bond, but for the US army).
Ever since it was established in 1958, DARPA has been the subject of conspiracy theories claiming — among other things — that the agency was covering up UFO landings, trying to develop mind control and working on Earth-shattering super-weapons like death rays.
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Privacy advocates have raised concerns about patients’ data after Google said it would take control of its subsidiary DeepMind’s healthcare division.
Google, which acquired London-based artificial intelligence lab DeepMind in 2014, said on Tuesday that the DeepMind Health brand, which uses NHS patient data, will cease to exist and the team behind its medical app Streams will join Google as part of Google Health.
It comes just months after DeepMind promised never to share data with the technology giant and an ethics board raised concerns over its independence.
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“We’re going to get these massive pools of sequenced genomic data,” Metzl said. “The real gold will come from comparing people’s sequenced genomes to their electronic health records, and ultimately their life records.” Getting people comfortable with allowing open access to their data will be another matter; Metzl mentioned that Luna DNA and others have strategies to help people get comfortable with giving consent to their private information. But this is where China’s lack of privacy protection could end up being a significant advantage.
To compare genotypes and phenotypes at scale—first millions, then hundreds of millions, then eventually billions, Metzl said—we’re going to need AI and big data analytic tools, and algorithms far beyond what we have now. These tools will let us move from precision medicine to predictive medicine, knowing precisely when and where different diseases are going to occur and shutting them down before they start.
But, Metzl said, “As we unlock the genetics of ourselves, it’s not going to be about just healthcare. It’s ultimately going to be about who and what we are as humans. It’s going to be about identity.”
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