Facebook Papers Reveal Progress on AI Shopping Assistant

In May, Facebook debuted Shops, which allows companies to set up digital stores across Facebook, WhatsApp, Messenger and Instagram, and also described its goal to develop an AI assistant to recommend products. The assistant would learn about a user’s preferences by analyzing images in his wardrobe and allow him to virtually try on clothing. Based on papers Facebook will present at the Conference on Computer Vision and Pattern Recognition 2020, it appears the company is deep in development of this assistant. Continue reading Facebook Papers Reveal Progress on AI Shopping Assistant

Apple Researchers Improving Accuracy of Virtual Assistant

Over 50 million people worldwide use Apple’s virtual assistant Siri. Apple, focused on improving Siri’s capabilities, published research on how to improve voice trigger detection, speaker verification and language identification for multiple speakers. Apple researchers suggest that an AI model be trained for automatic speech recognition and speaker recognition. Rather than approach it as two independent tasks, the researchers proved that those tasks might actually help one another to “estimate both properties.” Continue reading Apple Researchers Improving Accuracy of Virtual Assistant

Facebook’s AI Technique Deletes 32 Billion Fake Accounts

Facebook has been under fire for abuse on its platform, although chief executive Mark Zuckerberg often said that its AI tools have been successful at diminishing such problems. It turns out that he’s right: Facebook’s recent Community Standards Enforcement Report revealed that it removed 32+ billion fake accounts between April and September, compared to “just over 1.5 billion” during the same period last year. Largely responsible for the improvement is deep entity classification (DEC), a machine learning framework. Continue reading Facebook’s AI Technique Deletes 32 Billion Fake Accounts

AI Development Accelerates, Chips Speed Model Training

At VentureBeat’s Transform 2019 conference in San Francisco, Intel vice president/chief technology officer of AI products Amir Khosrowshahi and IoT general manager Jonathan Ballon discussed the evolution of AI adoption. A Lopez Research survey revealed that 86 percent of companies believe AI will be strategic to their business, but only 36 percent of them report having made “meaningful progress.” Khosrowshahi pointed out that more companies than ever have access to the necessary data, tools and training. Continue reading AI Development Accelerates, Chips Speed Model Training

Study’s Fantasy Text-Based Game Tests AI Agents’ Abilities

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

Hive Builds Tailored AI Models via 700,000-Person Workforce

Hive, a startup founded by Kevin Guo and Dmitriy Karpman, trains domain-specific artificial intelligence models via its 100 employees and 700,000 workers who classify images and transcribe audio. The company uses the Hive Work smartphone app and website to recruit the people who label the data, and recently introduced three products: Hive Data, Hive Predict, and Hive Enterprise. Shortly after the product launch, Peter Thiel’s Founders Fund and other venture capital firms invested $30 million in the startup. Continue reading Hive Builds Tailored AI Models via 700,000-Person Workforce