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.

François Pachet has the capacity to change the music industry as we know it. You probably don't know who he is. I don't expect you to. He's a French scientist and foremost expert on music composed by artificial intelligence. Yes, music composed by computers.

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.

"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.

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.

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.

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.

Comedian Lil Duval aka Roland Powell's latest Instagram video immediately became a sensation as it shows him smoking a hollowed out cigar with the autopilot feature of his Tesla vehicle allowing him to take his hands completely off the steering wheel. The stand-up comedian, MTV2 host and music video star is seen blowing out plumes of smoke while the Maze and Frankie Beverly song, "Silky Soul," can be heard playing over the car's speakers. Lil Duval is casually reclined back smoking as the Tesla autopilot, self-driving computer system has taken full control of the vehicle. Tesla CEO Elon Musk has suggested in the past that by 2019 drivers will be able to sleep in their fully autonomous vehicles. "What y'all fake caring about today," the comedian asks on his lilduval Instagram post from Saturday.

This paper explores a variety of models for frame-based music transcription, with an emphasis on the methods needed to reach state-of-the-art on human recordings. The translation-invariant network discussed in this paper, which combines a traditional filterbank with a convolutional neural network, was the top-performing model in the 2017 MIREX Multiple Fundamental Frequency Estimation evaluation. This class of models shares parameters in the log-frequency domain, which exploits the frequency invariance of music to reduce the number of model parameters and avoid overfitting to the training data. All models in this paper were trained with supervision by labeled data from the MusicNet dataset, augmented by random label-preserving pitch-shift transformations.