GitHub Copilot Enterprise is being released for general availability for $39 per month. Calling the tool GitHub’s “most advanced AI offering to date,” the company says it can be customized to an organization’s knowledge and codebase, placing “the institutional knowledge of your organization at your developers’ fingertips.” Infusing GitHub Copilot Enterprise throughout a company’s software development lifecycle lets team members “ask questions about public and private code, get up to speed quickly with new codebases and build greater consistencies across engineering teams” while ensuring everyone access to the same standard codebase. Continue reading GitHub Copilot Enterprise in General Release at $39 Monthly

The United States, Britain and 16 other countries have signed a 20-page agreement on working together to keep artificial intelligence safe from bad actors, mandating collaborative efforts for creating AI systems that are “secure by design.” The 18 countries said they will aim to ensure companies that design and utilize AI develop and deploy it in a way that protects their customers and the public from abuse. The U.S. Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency (CISA) and the United Kingdom’s National Cyber Security Centre (NCSC) jointly released the Guidelines for Secure AI System Development. Continue reading U.S., Britain and 16 Nations Aim to Make AI Secure by Design

Adobe is building out its AI infrastructure with three new generative AI models to augment Photoshop, Illustrator, Adobe Express and other tools. In all, Adobe released over 100 major new AI features and updates across Creative Cloud flagship applications at Adobe MAX 2023. The three-day Los Angeles event saw Adobe debut three new Firefly models — Firefly Image 2, Firefly Vector and Firefly Design — each designed to generate content that is cleared for commercial use. The Firefly Image 2 image generator offers improved detailing for things like skin texture, hair and foliage. Continue reading Adobe Debuts Three New Firefly Models and Adds AI Labels

Hugging Face has collected $235 million in an investment round that includes contributions from Amazon, IBM, Google, Nvidia, Salesforce, AMD, Intel and Qualcomm. The New York-based startup creates and distributes open-source tools for artificial intelligence development, carving an AI-centric niche similar to the more general programming approach taken by the Microsoft-owned GitHub. The incoming cash infusion — earmarked for talent recruitment — gives Hugging Face a lofty $4.5 billion valuation that experts say indicates momentum for open source in what has to date been a highly competitive AI sector. Continue reading Big Tech Firms Propel Hugging Face to $4.5 Billion Valuation

IBM and Adobe are expanding their partnership to help enterprise clients accelerate their content supply chains using artificial intelligence including Adobe Sensei GenAI, released in March, and Adobe Firefly, now in beta, as well as Adobe’s generative AI models. IBM says it will create a portfolio of Adobe-specific consulting services. Leveraging Adobe’s AI solutions and IBM Consulting services, the companies aim to “help clients build an integrated content supply chain ecosystem that drives collaboration, optimizes creativity, increases speed, automates tasks and enhances stakeholders’ visibility across design and creative projects.” Continue reading IBM and Adobe Advance AI Content Workflow for Enterprise

Meta Platforms has built and is open-sourcing ImageBind, an artificial intelligence that combines six modalities: audio, visual, text, thermal, movement and depth data. Currently a research project, it suggests a future in which AI models generate multisensory content. “ImageBind equips machines with a holistic understanding that connects objects in a photo with how they will sound, their 3D shape, how warm or cold they are, and how they move,” Meta says. In other words, ImageBind’s approach more closely approximates human thinking by training on the relationship between things rather than ingesting massive datasets so as absorb every possibility. Continue reading Meta’s Open-Source ImageBind Works Across Six Modalities

Intel has debuted FakeCatcher, touting it as the first real-time deepfake detector. capable of determining whether digital video has been altered to change context or meaning. Intel says FakeCatcher has a 96 percent accuracy rate and returns results in milliseconds by analyzing the “blood flow” of pixel patterns, a process called photoplethysmography (PPG) that Intel borrowed from medical research. The company says potential use cases include social media platforms screening to prevent uploads of harmful deepfake videos and helping global news organizations to avoid inadvertent amplification of deepfakes. Continue reading Intel Promises 96 Percent Accuracy with New Deepfake Filter

Microsoft and Nvidia have trained what they describe as the most powerful AI-driven language model to date, the Megatron-Turing Natural Language Generation model (MT-NLG), which has “set the new standard for large-scale language models in both model scale and quality,” the firms say. As the successor to the companies’ Turing NLG 17B and Megatron-LM, the new MT-NLG has 530 billion parameters, or “3x the number of parameters compared to the existing largest model of this type” and demonstrates unmatched accuracy in a broad set of natural language tasks. Continue reading Microsoft and Nvidia Debut World’s Largest Language Model

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

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 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

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

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, 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