Generating music has a few notable differences from generating images and videos. First, music is an art of time, necessitating a temporal model. Second, music is usually composed of multiple instruments/tracks with their own temporal dynamics, but collectively they unfold over time interdependently. Lastly, musical notes are often grouped into chords, arpeggios or melodies in polyphonic music, and thereby introducing a chronological ordering of notes is not naturally suitable. In this paper, we propose three models for symbolic multi-track music generation under the framework of generative adversarial networks (GANs). The three models, which differ in the underlying assumptions and accordingly the network architectures, are referred to as the jamming model, the composer model and the hybrid model. We trained the proposed models on a dataset of over one hundred thousand bars of rock music and applied them to generate piano-rolls of five tracks: bass, drums, guitar, piano and strings. A few intra-track and inter-track objective metrics are also proposed to evaluate the generative results, in addition to a subjective user study. We show that our models can generate coherent music of four bars right from scratch (i.e. without human inputs). We also extend our models to human-AI cooperative music generation: given a specific track composed by human, we can generate four additional tracks to accompany it. All code, the dataset and the rendered audio samples are available at https://salu133445.github.io/musegan/ .

"Assassin's Creed: Origins" on PC received a new update on Wednesday. And while fans at first were joyful at the thought of a new patch, they soon found out that the update actually has a big problem. Apparently, the update is causing the game on quad-core CPUs to stutter. The stuttering issue is so bad that some players thought Ubisoft downgraded the game's performance on PC with the new update. One player with the handle stormesp took to Reddit to claim that the update caused Draw Distance and LOD (level of detail) to drop to the ground in all settings.

He is passionate about the TMT space, with interests ranging from electronics and leading-edge hardware to newly emerging content delivery models, such as OTT, as well as cyber security, Artificial Intelligence and computer gaming.

For a Computer Science project, I decided to work on adversarial attacks. The purpose of this project is to see how to train road sign slassifiers, then how to deceive them, then how to protect them from such attacks. I started by working on MNIST, and everything works now. The repo contains modules to easily train models and run adversarial attacks against them. I hope you will enjoy this project, and I await your criticism and advice!

Here are the stories you shouldn't miss today: What are you doing today, other than turning up the air conditioning if you live in Southern California? Spending it with family and friends? Watching TV? (Check out these tips.) Wondering how you are going to cook that turkey? Feeling remorse about the bird that gave its life? However you spend the day, columnist Bill Plaschke wants you to remember the Thanksgiving spirit.

Prince Harry and a robot have been announced as two guest editors on Radio 4's Today Programme. Their fellow editors will be Baroness Trumpington, Tamara Rojo and Ben Okri. This is the 14th year control has been handed over to public figures between Christmas and New Year. Kensington Palace said Prince Harry would use the opportunity to "shine a spotlight on issues that are close to his heart". The palace added: "He is working closely with Today's team to produce segments on a range of topics, including youth violence, conservation and mental health."

Artificial Intelligence (AI) has quickly become a driving force in retail, with Forrester Research predicting earlier this year that investments into AI would triple before 2018. These trends in consumer marketing have primed the pump for widespread use of AI and insight-based marketing in B2B relationships. In fact, recent studies of business buyers show that almost two-thirds of them fully expect AI to anticipate their needs in the near future. One of the most recognizable examples of B2C AI-driven marketing is preemptive marketing, which includes things like the movies Netflix recommends to you based on your viewing history and ratings, and the products companies like Amazon suggest based on your past purchases. Another example most people are familiar with is targeted advertising.

Dozens of gizmos will work with one or both of these speakers, and third-party manufacturers continue to bring out additional ones. If you'd like to see all of your options, Google has made a list of Home-compatible devices and Amazon has collected the Echo-compatible ones. With so much smart tech out there, it can be hard to figure out which device to buy first. So we collected six of our favorite gadgets for smartening up your home. Google's dinky streaming dongle works like a charm with Google Home.

We present a new algorithm that significantly improves the efficiency of exploration for deep Q-learning agents in dialogue systems. Our agents explore via Thompson sampling, drawing Monte Carlo samples from a Bayes-by-Backprop neural network. Our algorithm learns much faster than common exploration strategies such as $\epsilon$-greedy, Boltzmann, bootstrapping, and intrinsic-reward-based ones. Additionally, we show that spiking the replay buffer with experiences from just a few successful episodes can make Q-learning feasible when it might otherwise fail.