Facebook’s 3D Photos feature — which uses depth data to create images that can be examined from different angles via virtual reality headsets — is now available on any of the latest handsets with a single camera, including Apple iPhone 7 or higher or any midrange (and above) Android phone. According to Facebook, the latest in machine learning techniques has made this feature possible. The company first unveiled 3D Photos in late 2018, when it required either a dual-camera phone or a depth map file on the desktop. Continue reading Facebook’s 3D Photos Now Available for All Latest Handsets

Researchers recently introduced a series of rigorous benchmark tasks that measure the performance of sophisticated language-understanding AI. Facebook AI Research with Google’s DeepMind, University of Washington and New York University introduced SuperGLUE last week, based on the idea that deep learning models for today’s conversational AI require greater challenges. SuperGLUE, which uses Google’s BERT representational model as a performance baseline, follows the 2018 introduction of GLUE (General Language Understanding Evaluation), and encourages the creation of models that can understand more nuanced, complex language. Continue reading SuperGLUE Is Benchmark For Language-Understanding AI

Facebook is bringing back FMV (full motion video) games, which use pre-recorded video files to display action. With the work of Facebook AI Research scientists, the new FMV games are much improved, with a system that can extract controllable characters from real-world videos and then control their motion, thus generating new image sequences. Facebook AI Research scientists, in collaboration with Tel Aviv University, also unveiled a system that, unsupervised, converts audio of one singer to the voice of another. Continue reading Facebook Uses AI to Improve Games, Swap Singers’ Voices

Facebook AI Research, the Lorraine Research Laboratory in Computer Science and its Applications (LORIA), and University College London recently conducted a study to determine if AI can navigate a fantasy text-based game, dubbed “LIGHT.” To examine the AI agents’ comprehension of the virtual world, the study investigated the so-called grounding dialogue, comprised of mutual knowledge, beliefs and assumptions allowing communication between two people. The large-scale, crowdsourced “LIGHT” environment allows AI and humans to interact. Continue reading Study’s Fantasy Text-Based Game Tests AI Agents’ Abilities

To strengthen its AI Research division (FAIR) and focus on robotics, Facebook is adding five highly regarded computer scientists to its Menlo Park, California headquarters, as well as facilities in Pittsburgh, Seattle and London. The new hires include Carnegie Mellon University professors Jessica Hodgins and Abhinav Gupta, who will head a lab focusing on robotics, a newer area for Facebook. University of Washington’s Luke Zettlemoyer, an expert on natural language processing (NLP), will join the Seattle AI research team. Continue reading Facebook Explores Robotics and NLP, Opens More AI Labs

Facebook is debuting facial recognition that will automatically notify users when their photo is posted; the feature is part of the social media company’s answer to criticisms from European regulators, the U.S. and elsewhere that it is disseminating fake news and hate speech, as well as not respecting privacy rights. The feature is based on technology already in use to suggest tags for people in posted photos. Although the company hopes it could help combat some abuses, it may raise more privacy issues. Continue reading Facebook’s Facial Recognition Features Spur Privacy Debate

In its Q4 earnings report, Facebook revealed that sales rose 51 percent to $8.81 billion, above the $8.51 billion average analyst prediction. The bump in revenue is largely attributed to advertising on mobile phones. Also, within the space of a year, monthly active Facebook users increased 17 percent to 1.86 billion people, with 1.23 billion checking daily and 1.74 billion accessing the social network via their smartphones. Facebook has now cemented its No. 2 position in the mobile advertising market behind Google. The company is also making a major move into video content. Continue reading Facebook Eyes Success with Mobile Ads and Focus on Video

Image recognition, or computer vision, is the foundation of new opportunities in everything from automotive to advertising. Its growing importance is such that the upcoming LDV Vision Summit, an annual conference on visual technology, is now in its third year. Computer vision has expanded through trends that have benefited other forms of AI, including open source, deep learning technology, easier programming tools and faster, cheaper computing, opening up opportunities for a wide range of businesses. Continue reading Image Recognition Tech Paving the Way for Future Advances