We've been running into performance issues when training an LSTM/RNN based Seq2Seq to create a multivariate, online trainable forecasting model - Does anyone here have experience with much harder (1000, n-dimensional) problems? From the paper, I feel like this might lead to a pretty dramatic improvement in performance.

Strictly Come Dancing and Dancing with the Stars judges watch out. Artificial intelligence is taking on its next challenge: dance talent appraisal. It sounds unlikely, but Abu Zaher Faridee and colleagues at the University of Maryland, Baltimore County, revealed their AI-assisted plan to help dance teachers at the HotMobile conference in Arizona, last month. Dancers often get in each other's way as they make their moves and normally significantly outnumber the teacher. This makes it hard for them to assess if everyone is dancing correctly.

Internet giants Google, Facebook and Twitter are facing renewed pressure to tackle the problem of terrorist propaganda online after the European Commission (EC) gave them just a one hour deadline to remove offensive content from their pages or face penalties. The EC's demand comes at a time when the major search and social media companies are being urged to do more to censor inappropriate or illegal material posted by users and hosted on their domains. "Considering that terrorist content is most harmful in the first hours of its appearance online, all companies should remove such content within one hour from its referral as a general rule," the EC said in a statement. The commission will also ask companies to report back on the degree of co-operation they receive from other organisations in order to determine whether stricter legislation is necessary. Most online media companies have clear rules in place warning users against publishing hate speech and routinely investigate and remove troubling content as soon as it is reported by users.

Google's new Clips camera takes short looping videos of your kids and your pets, and it does it all using AI. Sure, that sounds like some weird technophobic nightmare--Google, one of the most data-thirsty companies on the planet, pointing a camera at your kids? But the way the company designed the Clips keeps all of your visual memories private until you decide to share them, if you decide to share them at all. Mike and Arielle talk about how Google's innovative approach to computer vision in consumer products could lead to other types of digital cameras that are as private as a Polaroid. Send the hosts feedback on their personal Twitter feeds.

Technology and culture writer Navneet Alang, based in Toronto, Canada, outlined his concerns over the gadgets in an in-depth commentary published by The Week. The pocket-sized digital camera, which decides on its own whether an image is interesting enough to shoot, was launched on Tuesday. Reviews of its performance have been mixed, but some experts are more worried about what it might lead to. Even devices with seemingly innocent purposes can go on to become more sinister, he says. Mr Alang believes Clips is a test-bed for broader applications of'smart camera' technology, including for spying on us.

Netflix has been cranking out a startling amount of original content, including TV shows, documentaries, cartoons, specials, and feature films, and it can make one's head spin to try to navigate it all. The list of feature films alone is intimidating, but over the past several weeks we have been combing through all of them, and watching anything that seemed at least promising. The best part about these titles is that all--barring an apocalypse--will be available on the streaming channel forever, almost like a personal library, available at any time (and available for download for offline viewing on mobile devices). Admittedly, the forgettable stuff outweighs the good stuff, but there is plenty of good stuff to get excited about and to bookmark. Siblings Ben Stiller, Adam Sandler, and Elizabeth Marvel argue in The Meyerowitz Stories (New and Selected).

Chervine Bhiwoo @chervinebhiwoo Software developer and Analyst.I've been playing with codes for more than 10 years and today this helps me juggle easily with various technologies and tools in order to contribute to successfully complete projects that help to make the life of people within enterprise easier. I also enjoy sharing my passion with like-minded people and make them discover how to use technology to creatively develop apps that contribute to make the life of people easier. Software developer and Analyst.I've been playing with codes for more than 10 years and today this helps me juggle easily with various technologies and tools in order to contribute to successfully complete projects that help to make the life of people within enterprise easier. I also enjoy sharing my passion with like-minded people and make them discover how to use technology to creatively develop apps that contribute to make the life of people easier.

Subscribe and review: Apple, Spotify, Soundcloud, Audioboom, Mixcloud & Acast and join the discussion on Facebook, Twitter & email us as podcast@theguardian.com Technology companies seem to have a bad reputation at the moment. Whether through honest mistakes or more intentional oversights, the likes of Apple, Facebook, Google and Twitter have created distrust among consumers. But as technology develops, and as we hand over more control to artificial intelligence and machines, it becomes difficult for developers to foresee the negative consequences or side-effects that might arise. In October 2017, the AI company DeepMind, a subsidiary of Google, created an ethics group made up of employees and external experts called DeepMind Ethics & Society. But are these groups any more than a PR strategy? And how can we train technology students to preempt an ethical disaster before they enter the workforce?

Alphabet's Google is betting this combination proves irresistible with the launch of Google Clips, a pocket-sized digital camera that decides on its own whether an image is interesting enough to shoot. The $249 device, which is designed to clip onto furniture or other fixed objects, automatically captures subjects that wander into its viewfinder. But unlike some trail or security cameras that are triggered by motion or programmed on timers, Clips is more discerning. Google has trained its electronic brain to recognise smiles, human faces, dogs, cats and rapid sequences of movement. The company sees big potential with parents and pet owners looking to grab candid shots of kids and animals.

Journal articles are by far the primary source of research communication in my field(s). Nobody cares about conference proceedings, which are usually short abstracts and not published. My group has started working on some cool projects that are more machine learning than biology (though the models are loosely inspired by biological neural nets) and I'm wondering where to publish them. I know conference abstracts papers are the most common form of research communication for neural networks, but are there any widely read journals as well? The ones I know of have low impact factors, which is not a problem in itself (at least to me), but may indicate that nobody reads them.