They're probably the person in your life you go to help for all your technology needs. So how can you give something good to the tech-savvy person in your life? Here are some suggestions for gifts to delight those who are always looking at the hottest tech trends and products. As with all cutting-edge tech, this isn't for the faint of heart, both in terms of price and in willingness to try something new. You still won't find a headphone jack with the The iPhone X.

If you're reading this article, chances are that you're pretty aware of the fact that many things are moving from the physical world to the digital one -- from editorial content to retail. But sometimes, those online experiences still leave something to be desired; a trend we've noticed over the past couple of years is retailers harnessing technology in an attempt to mimic the level of customer service and personalization you might get from a really good, attentive salesperson IRL. While shopping online is supposed to be convenient, it can often be overwhelming. Many online retailers boast tens or hundreds of thousands of brands and SKUs, and if you don't know exactly what you're looking for, and how it will fit you, the experience can be pretty frustrating. To mitigate that, retailers with the resources to do so are working to use data collection and, in some cases, AI to create more personalized shopping experiences -- i.e., showing you products it thinks you will like based on what you've purchased before, sort of like fashion's version of Spotify Discover Weekly or Apple Music's For You tab.

I have this portfolio with jupyter notebooks done by me. Several of them need to be reworked or deleted, but most of them are okay. One of them is similar to things which I did while I worked in a bank. As for the first project - this is my attempt to build a site with handwritten digit recognition system with online training. This portfolio really helped me when I was looking for a job.

The most futuristic thing I have ever bought used to be a Sonos music player. I'd have people over just to show it off. "Name a song," I'd say. "Go on, any version of any song by any act that ever lived. So they would, and I'd pull out my phone and – hey presto – seconds later, that song would boom out across my living room like magic. When friends moved house, I'd see their stupid boxes of old CDs and laugh. "You antiquated morons," I'd gloat. "When I move house, I'll be able to fit every song ever recorded into a shoebox.

The variational autoencoder (VAE) is a popular probabilistic generative model. However, one shortcoming of VAEs is that the latent variables cannot be discrete, which makes it difficult to generate data from different modes of a distribution. Here, we propose an extension of the VAE framework that incorporates a classifier to infer the discrete class of the modeled data. To model sequential data, we can combine our Classifying VAE with a recurrent neural network such as an LSTM. We apply this model to algorithmic music generation, where our model learns to generate musical sequences in different keys. Most previous work in this area avoids modeling key by transposing data into only one or two keys, as opposed to the 10+ different keys in the original music. We show that our Classifying VAE and Classifying VAE+LSTM models outperform the corresponding non-classifying models in generating musical samples that stay in key. This benefit is especially apparent when trained on untransposed music data in the original keys.

Wednesday's Budget will include plans to make the UK the best place to manufacture and road-test driverless cars, the chancellor has said. Writing in the Sun newspaper, Mr Hammond said investment in "exciting new technologies", including in driverless cars, will be announced. This will "prepare the ground" for the cars to be on UK roads by 2021, he said. Mr Hammond said the "inventors dream" will soon become a reality. The technology that allows cars to become more autonomous has been increasing in recent years, with all the main manufacturers now offering some element of driverless technology, including self-parking features and cruise control on motorways.

Disney is all about the details. Sure, every Disney fan knows that the rides, snacks, and the parks themselves are meticulously designed and maintained so visitors can be delighted at every turn, but did you know that this very thoughtful mentality also extends to the park's staff as well? Take, for example, the fact that Disney park employees are banned from ever pointing with just their index finger. Ready to move this morning! Sure, it may seem like a minute detail, but as it turns out there are two distinct conspiracy theories on why park employees are mandated to do the "double Disney point," including Walt Disney's smoking habits and simply being polite.

Artificial intelligence and music sound like two things that shouldn't have anything in common. To put it simply, music is very much not an artificial thing. On the other hand, there are a ton of benefits to AI that the music industry can benefit from--for one, the issue of music licensing. Perhaps that's why a music industry group is working closely with a university noted for creating an AI-produced Christmas carol. The Society of Composers, Authors and Music Publishers of Canada (SOCAN) recently announced a partnership with the University of Toronto's Department of Computer Science Innovation Lab to help deduce new strategies for tackling the increasingly complex problem of music licensing.

You may know Anthony Levandowski from being at the center of Waymo's lawsuit against Uber, but he's also the "Dean" or leader of a new religion of artificial intelligence. Wired takes a look at Way of the Future's doctrine, Levandowski's role and the quest to create the divine AI. NotCo wants to change the food industry by putting machine learning to work to create vegan foods that could appeal to the masses. Vice takes a look at one of the many subreddits that's an example of a much larger problem. If you've ever wondered how music makes it on Spotify's Fresh Finds, The Verge followed one of its playlist editors around NYC to discover just that.

Currently I'm searching for a Reinforcement Learning toolkit for autonomous driving to test the influence of several safety aspects during learning as a reward function. So far I have tested OpenAI Gym with the "Neon racer" environment, which does not provide those information. Are there any other toolkits you would suggest me for this purpose?