Microsoft revenue was $61.9 billion in the quarter ending March 31, up 17 percent compared to the same period a year ago. Profit was up 20 percent, to $21.9 billion, despite an increase in capital expenditure to purchase Nvidia GPUs for training and running AI models. The performance smashed analyst predictions, sending the stock up 5 percent in after-hours trading. Revenue for the Microsoft Cloud division overall was $35.1 billion, up 23 percent year-over-year, fueled largely by customers using it to host resource intensive AI services. Revenue in the Intelligent Cloud sector was $26.7 billion, a 21 percent uptick. Continue reading Microsoft Cloud Buoys Quarterly Revenue to Nearly $62 Billion

Alphabet reported revenue of $80.5 billion for Q1, a 15 percent increase fueled largely by online advertising from Google Search and YouTube. The figure topped analyst estimates of $78.8 billion. Profit soared, rising 57 percent to more than $23.6 billion, wildly overperforming the forecast of $18.9 billion. The strong performance resulted in Alphabet announcing its first ever shareholder dividend, at 20 cents per share, which pays out on June 17. Alphabet’s board approved a $70 billion stock repurchase program, and the news-filled earnings event drove Alphabet shares up 13 percent in after-hours trading. Continue reading Alphabet Profit Up 57 Percent, Prompting First-Ever Dividend

The trend toward small language models that can efficiently run on a single device instead of requiring cloud connectivity has emerged as a focus for Big Tech companies involved in artificial intelligence. Apple has released the OpenELM family of open-source models as its entry in that field. OpenELM uses “a layer-wise scaling strategy” to efficiently allocate parameters within each layer of the transformer model, resulting in what Apple claims is “enhanced accuracy.” The “ELM” stands for “Efficient Language Models,” and one media outlet couches it as “the future of AI on the iPhone.” Continue reading Apple Unveils OpenELM Tech Optimized for Local Applications

Meta Platforms has rebranded its Quest VR operating system Horizon OS and is opening the platform to third parties. While licensing terms have not been publicly disclosed, Asus and Lenovo have said they’re going to be designing hardware using the system. Microsoft and Qualcomm are also in round one of the companies on the inside track as Meta positions Horizon OS along the lines of a universal VR standard, not unlike Microsoft’s Windows OS for computers. All four companies have already been working with Meta on VR for Quest or its predecessor, Oculus. Continue reading Meta Opens Mixed Reality OS to Third-Party Hardware Makers

Beginning May 15, Google Photos users can start accessing a suite of free AI-powered Magic Editor tools like Magic Eraser and Portrait Light. The features will also be accessible on more devices, including Pixel tablets. Last year, Google launched Magic Editor on Pixel 8 and Pixel 8 Pro phones. In addition to making the features available on all Pixel devices, all Google Photos users on Android and iOS will get baseline access to 10 Magic Editor saves per month. Additionally, those with a Pixel device or Premium Google One plan of at least 2TB will have unlimited use. Continue reading Google Adding Free AI Photo Editing Tools to Google Photos

Microsoft and Quantinuum have improved the logical error rate in quantum computing by 800x, a breakthrough the partners say has the potential to usher in a new era of qubit processing. Using ion-trap hardware from Quantinuum and a qubit-virtualization system from Microsoft, the team ran more than 14,000 experiments with no errors — a huge feat in the notoriously fickle realm of qubits. The system has error diagnostics and corrections built in, identifying which errors need to be fixed and correcting them without destroying the underlying logical qubits, according to the companies. Continue reading Microsoft, Quantinuum Tout Advance in Quantum Computing

Amazon Web Services has launched a new cloud computing service called AWS Deadline Cloud that allows customers to set up, deploy, and scale rendering projects in what the company says is mere “minutes,” improving efficiency by facilitating parallel rendering pipelines. “With Deadline Cloud, customers creating computer graphics, visual effects, or innovating their pipelines to incorporate artificial intelligence-generated visuals can build a cloud-based render farm — aggregated compute — that scales from zero to thousands of compute instances for peak demand, without needing to manage their own infrastructure,” according to AWS. Continue reading AWS Deadline Cloud Service Scales Up Instant Render Farms

Amazon has added $2.75 billion to its initial September 2023 investment of $1.25 billion in Anthropic, completing its announced $4 billion stake in the artificial intelligence startup formed in 2021 by former members of OpenAI. As part of the resulting strategic collaboration, Anthropic’s most powerful models, including the Claude 3 series, are available on Amazon Bedrock, a service providing fully managed foundation models. Anthropic is using Amazon Web Services as its primary cloud provider and Amazon says Anthropic will use AWS Trainium and Inferentia chips “to build, train, and deploy its future models.” Continue reading Amazon Increases Its Investment in Anthropic AI to $4 Billion

Databricks, a San Francisco-based company focused on cloud data and artificial intelligence, has released a generative AI model called DBRX that it says sets new standards for performance and efficiency in the open source category. The mixture-of-experts (MoE) architecture contains 132 billion parameters and was pre-trained on 12T tokens of text and code data. Databricks says it provides the open community and enterprises who want to build their own LLMs with capabilities previously limited to closed model APIs. Compared to other open models, Databricks claims it outperforms alternatives including Llama 2-70B and Mixtral on certain benchmarks. Continue reading Databricks DBRX Model Offers High Performance at Low Cost

Microsoft is making improvements to the way its Copilot AI assistant works in Microsoft Teams and is using artificial intelligence to further integrate hybrid meetings. As the company leans deeper into AI, it continues to push hardware manufacturers to build an AI-optimized PC, making sure to include a dedicated Microsoft Copilot key. Microsoft joins Intel, Qualcomm and AMD in championing purpose-built AI PCs. In the meantime, the tech giant continues to build out features for existing PCs. The company is adding new ways to tap into the Copilot tool for meetings, chats, summaries and more. Continue reading Microsoft Improves Meetings and Messaging with Copilot, AI

U.S. Attorney General Merrick Garland, joined by 16 other state and district attorneys, has filed a civil antitrust lawsuit against Apple for “monopolization or attempted monopolization” of the smartphone market. The move comes after years of regulatory scrutiny triggered by complaints from companies who compete against Apple or rely on it to do business and pay hefty fees for doing so. The charges center on the iPhone, which has an estimated 60 percent share of the U.S. smartphone market and is seen as an essential platform for anyone that wants to reach mobile consumers. Continue reading U.S. Targets Apple Smartphone Monopoly in Antitrust Lawsuit

Nvidia unveiled what it is calling the world’s most powerful AI processing system, the Blackwell GPU, purpose built to power real-time generative AI on trillion-parameter large language models at what the company says will be up to 25x less cost and energy consumption than its predecessors. Blackwell’s capabilities will usher in what the company promises will be a new era in generative AI computing. News from Nvidia’s GTC 2024 developer conference included the NIM software platform, purpose built to streamline the setup of custom and pre-trained AI models in a production environment, and the DGX SuperPOD server, powered by Blackwell. Continue reading GTC: Nvidia Unveils Blackwell GPU for Trillion-Parameter LLMs

Anthropic has released Claude 3, claiming new industry benchmarks that see the family of three new large language models approaching “near-human” cognitive capability in some instances. Accessible via Anthropic’s website, the three new models — Claude 3 Haiku, Claude 3 Sonnet and Claude 3 Opus — represent successively increased complexity and parameter count. Sonnet is powering the current Claude.ai chatbot and is free, for now, requiring only an email sign-in. Opus comes with the the $20 monthly subscription for Claude Pro. Both are generally available from the Anthropic website and via API in 159 countries, with Haiku coming soon. Continue reading Anthropic’s Claude 3 AI Is Said to Have ‘Near-Human’ Abilities

Community message board and social news aggregator Reddit, founded in 2005, has filed to go public on the New York Stock Exchange in an IPO observers say may be complete in a matter of weeks. It is the first social media company to go public in many years, with Snap Inc.’s 2017 offering cited as the most recent stock market splash. Reddit’s bankers are reportedly seeking a $5 billion valuation, about half the $10 billion it was valued at for a 2021 private funding round. Reddit filed with the SEC the same day it announced an “expanded partnership” with Google to use Vertex AI. Continue reading Reddit Announces IPO on Heels of Expanded Deal with Google

Nvidia is investing $30 billion in a new business unit focused on custom chips for high-performance computing. The company already controls about 80 percent of the advanced chip market but wants to avoid losing ground as alternatives spring up. Alphabet, AWS, Intel and AMD market high-end processors to third-parties, and Meta is expected to begin deploying its own Artemis AI chips this year. Nvidia has had discussions with Amazon, Google, Meta, Microsoft and OpenAI about helping them create bespoke chips and is also talking to automakers, cloud service providers (CSPs) and telecom companies, according to reports. Continue reading Nvidia to Launch Unit Devoted to Building Custom HPC Chips