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Forget killer robots - it's humans you should be worrying about instead
When it comes to understanding artificial intelligence, is science fiction just a pesky distraction from the real dangers out there? Microsoft's authority on all things AI seems to think so, reports Jihee Junn. "With artificial intelligence, we are summoning the demon," declared Elon Musk back in 2014. "In all those stories where there's the guy with the pentagram and the holy water, it's like โ yeah, he's sure he can control the demon. Over the years, the Tesla and SpaceX chief executive has regularly come out to express his concerns over the future of AI. He's even warned of a possible Terminator-style robot uprising, telling a group of US governors earlier this year: "I keep sounding the alarm bell, but until people see robots going down the street killing people, they don't know how to react, because it seems so ethereal." Could the world really be terrorised by artificially sentient beings? Are we on the verge of creating our own existential threat? Does this mean we have to endure another resurrection of Arnold Schwarzenegger's acting career? For Eric Horvitz, technical fellow and director of Microsoft Research, the likelihood of such a scenario occurring remains resoundingly low. "I think there's a much higher probability that humanity could wipe out humanity.
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Mr. Matusiak is an expert in the fields of mathematics, programming, and music theory. Mr. Matusiak's groundbreaking application of advanced artificial intelligence algorithms for the analysis, transformation and creation of music forms the basis of DigiTrax's disruptive approach to music composition, and has generated six granted patents. As the software architect of The Music Builder platform, his pioneering vision is grounded in both theoretical and practical knowledge of music theory. Mr. Matusiak has garnered multiple awards in the field, while completing his studies at Leeds College of Music in the UK. As Co-founder and Lead Developer for Exomens, Ltd., Mr. Matusiak researched, designed, and implemented multiple large-scale artificial intelligence projects, including systems for music, audio, and naturallanguage analysis.
Killer robots must be banned but 'window to act is closing fast', AI expert warns
Artificial intelligence experts are calling for a ban on "killer robots", and have warned that we need to move quickly. The Campaign to Stop Killer Robots has released a short film designed to demonstrate what could happen if machines that are capable of choosing who lives and who dies continue to be developed. In the video, autonomous weapons are used to carry out mass killings with frightening efficiency, while people struggle to work out how to combat them. It also depicts swarms of smart drones, which are equipped with explosives and use facial recognition, GPS, voting and social media data to establish and pursue targets. "[Artificial intelligence's] potential to benefit humanity is enormous, even in defense," says Stuart Russell, a professor of computer science at the University of Berkeley, at the end of the film.
Scientists call for ban on killer robots in Geneva today
AI experts have put together a seven-minute film that depicts a terrifying future where tiny killer drones are programmed to carry out mass killings. Made by an advocacy group called Campaign to Stop Killer Robots, the footage shows palm-sized drones armed with explosives finding and attacking people without human supervision. These tiny drones can kill with ruthless efficiency and campaigners warn a preemptive ban on the technology is needed to stop a new era of horrific mass destruction. In the film, machines can can spot activists in lecture halls and kill them by propelling an explosive into their head. The video starts with a developer introducing the new technology, saying these drones can react 100 times faster than a human. He says these drones have wide field cameras, face recognition, special sensors and shaped explosives.
Inside the mechanical brain of the world's first robot citizen
"You brought a friend with you here, and this is really freaking me out," the Tonight Show host tells David Hanson, CEO of Hanson Robotics, before inspecting the humanoid robot on stage. Sophia raises an eyebrow while looking out past the two men on stage. Hanson explains what Sophia does: It's a social robot that uses artificial intelligence to see people, understand conversation, and form relationships. "So she's basically alive; is that what you're saying?" Fallon asks, in half a whisper. "Oh yeah, she is basically alive," Hanson responds, then turning the robot to Fallon for a short conversation.
Stunning drone footage of Iceland's scenic landscape
From deep gorges to the elusive northern lights, new drone footage shows the mesmerising beauty of Iceland. A team of filmmakers trekked across the volcano-ridden country to capture a range of unique landscapes from the air, earlier this year. Now, in a five-minute long video titled The North Awakens, viewers are taken on a breathtaking flight, soaring above icy glaciers and rugged cliffsides. A team of filmmakers trekked across Iceland to capture a range of unique landscapes from the air. Soundtracked with music by Peter Nanasi, the project was a joint collaboration by film-maker Jonathan Besler, Kevin May and Florian Gampert.
'Westworld' Season 2 Spoilers: This Theory Suggests Dr. Ford Is Still Alive
Dr. Robert Ford (Anthony Hopkins) was shot in the head during the finale episode of "Westworld" Season 1, and show creators Jonathan Nolan and Lisa Joy later confirmed that he is indeed dead. But Futurologist Dr. Ian Pearson told Express that there's still a huge chance Ford is alive, and it is all thanks to the technology he has created. "It's been established that [humans] can put their mind inside a robot before their die and then they can carry on," he said. "This was Ford's plan to give the robots purpose. Who was and who wasn't?" Pearson added that Ford made "electronic immortality" possible.
[D]How to estimate the predictive power of input features? โข r/MachineLearning
The two questions are related to the same problem of feature selection, which is a hard problem in general. Some regression techniques, such as Lasso and random forests, are able to look for the most relevant features. There are also heuristics used in preprocessing that try to estimate which features are most predictive, for instance ranking them according to the ANOVA F-value, see e.g. It's hard to say how accurate are these heuristics though.