Artificial intelligence (AI) weapons can attack with increased speed and precision than the existing systems.

The most anticipated series of HBO, 'Game of Thrones' final season is just a day ahead. The eighth and the final season will premiere on Sunday. The team who predicted Jon Snow survival in 2016 with the help of artificial intelligence is back with an algorithm for predictions for the coming season. Students at the Technical University of Munich have created an algorithm to predict which character has the best chance of survive in the final season and who will die in the latest installment. All the predictions by the AI are being listed on a dedicated website along with the reasons for the predicted likelihood of death of that particular character.

Efficient audio synthesis is an inherently difficult machine learning task, as human perception is sensitive to both global structure and fine-scale waveform coherence. Autoregressive models, such as WaveNet, model local structure at the expense of global latent structure and slow iterative sampling, while Generative Adversarial Networks (GANs), have global latent conditioning and efficient parallel sampling, but struggle to generate locally-coherent audio waveforms. Herein, we demonstrate that GANs can in fact generate high-fidelity and locally-coherent audio by modeling log magnitudes and instantaneous frequencies with sufficient frequency resolution in the spectral domain. Through extensive empirical investigations on the NSynth dataset, we demonstrate that GANs are able to outperform strong WaveNet baselines on automated and human evaluation metrics, and efficiently generate audio several orders of magnitude faster than their autoregressive counterparts.

Segmenting text into semantically coherent segments is an important task with applications in information retrieval and text summarization. Developing accurate topical segmentation requires the availability of training data with ground truth information at the segment level. However, generating such labeled datasets, especially for applications in which the meaning of the labels is user-defined, is expensive and time-consuming. In this paper, we develop an approach that instead of using segment-level ground truth information, it instead uses the set of labels that are associated with a document and are easier to obtain as the training data essentially corresponds to a multilabel dataset. Our method, which can be thought of as an instance of distant supervision, improves upon the previous approaches by exploiting the fact that consecutive sentences in a document tend to talk about the same topic, and hence, probably belong to the same class. Experiments on the text segmentation task on a variety of datasets show that the segmentation produced by our method beats the competing approaches on four out of five datasets and performs at par on the fifth dataset. On the multilabel text classification task, our method performs at par with the competing approaches, while requiring significantly less time to estimate than the competing approaches.

This post was done in partnership with Wirecutter. When readers choose to buy Wirecutter's independently chosen editorial picks, Wirecutter and Engadget may earn affiliate commission. After testing five new two-bay network-attached storage (NAS) devices and comparing them against our previous picks, we found that the Synology DiskStation DS218 is the best home NAS for most people. The fastest NAS we tested, it offers powerful hardware for the price, includes AES-NI hardware encryption acceleration for added security, has upgradable RAM, and comes with software that's easy to use. In addition to speed, the Synology DiskStation DS218 offers a variety of backup and syncing options, plus it has mobile apps for media streaming, file management, and more. It also supports a wide range of third-party apps, such as Plex, BitTorrent Sync, and GitLab. You can use the DS218 as a home backup device, a media streamer, a mail server, a website-hosting device, a BitTorrent box, or a video-surveillance recorder--nearly anything you can do with a Linux computer, while consuming about as much electricity as a couple of LED bulbs. The QNAP TS-251B is a good choice if the DS218 is out of stock, or if you want to display media on a TV. It is almost as fast during file transfers as the DS218 and adds an HDMI-out port so you can hook it up to a TV for media playback. It uses the same QTS management interface as QNAP's other NAS devices--we like Synology's DSM software a little more, but it's largely a matter of preference. If you need more storage space, the Synology DiskStation DS418play uses the same CPU, hardware encryption engine, and hardware transcoding engine as the DS218, but it adds two drive bays.

The new Netflix series Love, Death & Robots has a brilliant premise--take science fiction stories and adapt them into an anthology of animated shorts. Science fiction author Tom Gerencer loved seeing so much variety in such quick succession. "I just couldn't stop wanting to watch the next one, and I couldn't stop being amazed that the next one seemed even better than the one before, and that there were so many of them," Gerencer says in Episode 356 of the Geek's Guide to the Galaxy podcast. "Totally inventive ideas, and the visuals on them were gorgeous and stunning." The show is at its best when it focuses on serious, thoughtful science fiction by top authors such as Peter F. Hamilton and Alastair Reynolds.

Channing Powell, the creator of the hit horror television series'The Walking Dead', is not someone who is easily spooked. But Powell is scared, 'terrified actually' of what big tech might be up to. And critics were too after watching her spine-chilling new series, 'The Feed', premiere in Cannes this week. The Amazon show is set in the near future when we can share emotions, thoughts and what we see with our eyes on a social network embedded in our brains. If that sounds as far fetched as the post-apocalyptic zombies of'The Walking Dead', Powell has news for you.

The music management system was once seen as the future of computing: it was used to control the iPod, and was home to the iTunes Store, both of which helped to revolutionise the way people buy and listen to music. But with time it has become bloated with additional features – from watching films to managing devices like phones – and its performance has dropped. That has led to it becoming largely despised within the tech community. We'll tell you what's true. You can form your own view.

When artificial intelligence systems start getting creative, they can create great things – and scary ones. Take, for instance, an AI program that let web users compose music along with a virtual Johann Sebastian Bach by entering notes into a program that generates Bach-like harmonies to match them. Run by Google, the app drew great praise for being groundbreaking and fun to play with. It also attracted criticism, and raised concerns about AI's dangers. My study of how emerging technologies affect people's lives has taught me that the problems go beyond the admittedly large concern about whether algorithms can really create music or art in general.