That's because machine learning and artificial intelligence are assistive technologies that supplement (not replace) an attorney's role.

The band has partnered with an artificial intelligence artist called Huxley.

When it comes to smart speakers, Amazon has a slew of voice-enabled Echo devices to choose from, one for practically every occasion. Maybe you want to add Alexa to a spare bedroom, for example, or you're looking for an Echo device that will allow you to easily manage your lighting or other smart home devices. Regardless of the reason, this is one of the best times of the year to pick up an Echo device, even if Black and Cyber Monday are behind us. Last year, Amazon released the fourth generation of the Echo Dot, which looks more like a sphere than an actual dot. But if you prefer the previous design, don't worry: Amazon has not discontinued the third-gen Echo Dot, which still retains the familiar dot shape and is currently on sale for just $19.99 at Amazon.

A key challenge of online news recommendation is to help users find articles they are interested in. Traditional news recommendation methods usually use single news information, which is insufficient to encode news and user representation. Recent research uses multiple channel news information, e.g., title, category, and body, to enhance news and user representation. However, these methods only use various attention mechanisms to fuse multi-view embeddings without considering deep digging higher-level information contained in the context. These methods encode news content on the word level and jointly train the attention parameters in the recommendation network, leading to more corpora being required to train the model. We propose an Event Extraction-based News Recommendation (EENR) framework to overcome these shortcomings, utilizing event extraction to abstract higher-level information. EENR also uses a two-stage strategy to reduce parameters in subsequent parts of the recommendation network. We train the Event Extraction module by external corpora in the first stage and apply the trained model to the news recommendation dataset to predict event-level information, including event types, roles, and arguments, in the second stage. Then we fuse multiple channel information, including event information, news title, and category, to encode news and users. Extensive experiments on a real-world dataset show that our EENR method can effectively improve the performance of news recommendations. Finally, we also explore the reasonability of utilizing higher abstract level information to substitute news body content.

Spotify has bought another audio platform, and this time it's hoping to bring radio into the modern era. The streaming company has acquired Whooshkaa, an Australia-based firm that offers a tool to convert radio broadcasters' shows into podcasts. Spotify plans to integrate the tech into its Megaphone suite for podcasters with a clear goal -- stations could further profit from shows by offering ad-supported podcast episodes. Whooshkaa might also boost some of Spotify's other efforts. Founder Rob Loewenthal noted Whooshkaa also had speech-to-text (and text-to-speech) technology, smart home integration and "enterprise grade" podcasting tools.

With continuing advances in machine learning, it makes less and less sense to compare AI to the human mind.

Artificial intelligence (AI) company Soul Machines has signed a five-year agreement with Microsoft, establishing a partnership which will see the.

Amplify Partners invests in early-stage companies pioneering novel applications in machine intelligence and computer science.

Continual brings together second time founders Tristan Zajonc and Tyler Kohn who previously built and sold machine learning infrastructure startups.

Illustration showing a human understanding text while a machine doesn’t. … ingesting vast amounts of written text and learning to predict words.