Google is making many of its most powerful cloud computing tools available commercially for the first time, Google Cloud CEO Thomas Kurian shared at the company’s Cloud Next ’23 conference in San Francisco. In a bid to catch up with top AI rivals such as Amazon and Microsoft, the Google Distributed Cloud will open for general business including at the edge with Vertex AI and PaLM 2. Google Cloud will serve up AI from Anthropic, in which it is an investor, as well as from Meta Platforms. In addition, an AI-infused Gmail productivity suite is on the way. Continue reading Google Takes on the Competition with Cloud and AI Services

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

Nvidia announced Q2 revenue of $13.51 billion, a 101 percent year-over-year increase that sets a new company record. The data center division — which accounts for the majority of AI chip sales — also established a new benchmark: $10.32 billion in Q2, a 171 percent leap over the prior fiscal Q2. Nvidia projects that revenue for the current quarter will hit $16 billion — about $3.5 billion above analysts’ expectations. Nvidia chips power OpenAI’s popular ChatGPT and other generative AI and cloud computing apps from companies including Amazon, Google, Meta Platforms, Microsoft and VMWare. Continue reading Demand for AI Chips Drives Nvidia to Revenue Record in Q2

Meta Platforms is releasing SeamlessM4T, the world’s “first all-in-one multilingual multimodal AI translation and transcription model,” according to the company. SeamlessM4T can perform speech-to-text, speech-to-speech, text-to-speech, and text-to-text translations for up to 100 languages, depending on the task. “Our single model provides on-demand translations that enable people who speak different languages to communicate more effectively,” Meta claims, adding that SeamlessM4T “implicitly recognizes the source languages without the need for a separate language identification model.” Continue reading Meta’s Multimodal AI Model Translates Nearly 100 Languages

Newsrooms can potentially benefit greatly from AI language models, but at this early stage they’ve begun laying down boundaries to ensure that rather than having their data coopted to build artificial intelligence by third parties they’ll survive long enough to create models of their own, or license proprietary IP. As industries await regulations from the federal government, The New York Times has proactively updated its terms of service to prohibit data-scraping of its content for machine learning. The move follows a Google policy refresh that expressly states it uses search data to train AI. Continue reading The New York Times Looks to Protect IP Content in Era of AI

Amazon is rolling out systematic artificial intelligence summaries of customer product reviews for mobile users. The retail giant says it will be using generative AI to condense highlights of consumer comments so buyers won’t have to wade through dozens of individual reviews to grasp recurring sentiments. Short, AI-generated paragraphs will begin appearing on the product detail page, highlighting prevalent opinions. Along with the summary, Amazon will also include clickable buttons that highlight key product attributes, such as “ease of use,” “wearability” or “performance,” linking the references to reviews that discuss those aspects in detail. Continue reading Amazon’s Generative AI Will Help Streamline Product Reviews

Blockchain startup Aptos Labs will use the Microsoft Azure OpenAI Service to “explore innovative solutions” in blockchain and Web3 for technologies involving artificial intelligence, tokenization and payments. As part of the deal Aptos describes as a “partnership,” the company is launching Aptos Assistant, which will enable natural language prompts, making Web3 applications like smart contracts and decentralized apps more “user-friendly and secure” for “everyday Internet users and organizations” as well as developers. Aptos offers what is known as Layer 1 blockchain, technology designed to facilitate transactions at scale. Continue reading Aptos Teams with Microsoft Azure OpenAI on Web3 Solutions

The White House has unveiled plans for a two-year competition with $18.5 million in prizes for artificial intelligence coders who can come up with ways to identify and fix software vulnerabilities in critical infrastructure code, such as that which runs the Internet. Styled AIxCC, the AI Cyber Challenge is being led by the Defense Advanced Research Projects Agency (DARPA) with support from companies including Anthropic, Google, Microsoft and OpenAI, who have committed to lending expertise and technology. Up to seven small businesses will potentially receive $1 million each to participate. Continue reading White House Launches $20 Million AI Cybersecurity Challenge

Google has debuted Project IDX, an AI-enabled development environment for building full-stack web and multiplatform apps. Comparing app development that works across mobile, web, and desktop platforms to “building a Rube Goldberg machine” with a duct-taped tech stack, Google says Project IDX smooths the process of compiling, testing, deploying and monitoring apps. The browser-based Project IDX is built on the Google Cloud using the Codey family of AI foundation models built on PaLM 2. Currently, IDX supports the JavaScript and Dart languages, with plans for Python, Go and more. Continue reading Google’s Project IDX Offers Full-Stack Dev in a Web Browser

Meta Platforms is amping up its AI play, with plans to launch a suite of personality-driven chatbots as soon as next month. The company has been developing the series of artificially intelligent character bots with a goal of using them to boost engagement with its social media brands by making them available to have “humanlike discussions” on platforms including Facebook, Instagram and WhatsApp. Internally dubbed “personas,” the chatbots simulate characters ranging from historical figures like Abraham Lincoln to a surfer dude that dispenses travel advice. Continue reading Meta Plans Personality-Driven Chatbots to Boost Engagement

Launched two years ago, C2PA is an open-source Internet protocol that cryptographically encodes origin metadata into content. The protocol, a more secure form of watermarking, is being put forth as a way of disclosing when material has been created wholly or in part using artificial intelligence, something the White House has said it wants companies to do. Impending European Union regulations will also mandate that some tech platforms label images, audio, and video generated by artificial intelligence using “prominent markings.” More than 1,500 companies are involved with C2PA through the Content Authenticity Initiative, making it a viable solution. Continue reading Cryptographic C2PA Protocol Pursues Labeling of AI Content

Meta Platforms had a successful Q2, reporting double-digit growth for the first time since Q4 2021. The performance was attributed to a rebound in the digital advertising sector. The good news comes with a warning, as the company says it plans to increase spending on virtual reality and artificial intelligence next year. The parent of Facebook and Instagram reported revenue of just under $32 billion for the period ending June 30, an 11 percent gain over 2022. Advertising contributed a whopping $31.5 billion, growing nearly 12 percent year-over-year. Continue reading Meta Sees Double-Digit Growth for the First Time Since 2021

Advancing President Biden’s push for responsible development of artificial intelligence, top AI firms including Anthropic, Google, Microsoft and OpenAI have launched the Frontier Model Forum, an industry forum that will work collaboratively with outside researchers and policymakers to implement best practices. The new group will focus on AI safety, research into its risks, and disseminating information to the public, governments and civil society. Other companies involved in building bleeding-edge AI models will also be invited to join and participate in technical evaluations and benchmarks. Continue reading Major Tech Players Launch Frontier Model Forum for Safe AI

Alphabet posted a strong second quarter, with Google Cloud revenue climbing 28 percent year-over-year, to $8.03 billion, and overall revenue gaining 7 percent, to $74.6 billion, exceeding analyst expectations, as did the $18 billion in net income. Google Search ad sales grew by nearly 5 percent, to $42.6 billion, while ad sales from Google’s YouTube streaming platform rose almost 4 percent, to $7.7 billion. YouTube had in recent quarters sustained revenue declines, attributed to increased competition from TikTok and others, but was finally able to reverse the downward trend. Continue reading Search Stays Strong and YouTube Rebounds in Alphabet Q2

Microsoft Cloud drove record sales and profits for Q2, which saw a year-over-year revenue gain of 8 percent to $56.2 billion for April through June. Net income topped $20 billion, a 20 percent gain that beat analyst expectations and the company’s own estimates. Microsoft Cloud revenue for Q2 was up 21 percent, to $30.3 billion. And the company is beginning to see the results of its investments in artificial intelligence. Q2 is Microsoft’s second record-setting quarter this year, topping the three-month high of $52.9 billion in Q1. The previous profit record was $18.8 billion in Q4 2021. Continue reading Microsoft Q2 Marks a Quarterly Sales Record of $56.2 Billion