Weekly Roundup: 15 Tech Press Releases You Need to See
including Abu Dhabi's drone light show, the world's smallest MCU and astronaut Jonny
Kim's space mission.
NEW YORK, March 14, 2025 /PRNewswire/ -- With thousands of press releases published each week, it can be difficult to keep up with everything on PR Newswire. To help tech journalists and consumers stay on top of the week's most newsworthy and popular releases, here's a recap of some major stories from the week that shouldn't be missed.
The list below includes the headline (with a link to the full text) and an excerpt from each story. Click on the press release headlines to access accompanying multimedia assets that are available for download.
Measuring only 1.38mm, about the size of a black pepper flake, the wafer chip-scale package (WCSP) for the MSPM0C1104 MCU enables designers to optimize board space in applications such as medical wearables and personal electronics, without compromising performance.
CoreWeave Announces Agreement with OpenAI to Deliver AI Infrastructure
'Advanced AI systems require reliable compute, and we're excited to continue scaling with CoreWeave so we can train even more powerful models and offer great services to even more users,' said Sam Altman, CEO of OpenAI. 'CoreWeave is an important addition to OpenAI's infrastructure portfolio, complementing our commercial deals with Microsoft and Oracle, and our joint venture with Softbank on Stargate.'
Developers are Ditching their Keyboards as Wispr Flow Expands to New Platforms
Wispr Flow allows users to speak naturally and see their words appear instantly, with built-in intelligence to edit, format, and refine their writing across any application. The product was created by Tanay Kothari and co-founder Sahaj Garg after experiencing firsthand the frustration of typing-intensive workflows that slow down communication.
NASA Astronaut Jonny Kim to Discuss Upcoming Launch, Mission
Kim will launch on Tuesday, April 8, aboard the Roscosmos Soyuz MS-27 spacecraft, accompanied by Roscosmos cosmonauts Sergey Ryzhikov and Alexey Zubritsky. The trio will spend approximately eight months aboard the orbital laboratory before returning to Earth in fall 2025.
AI-powered Tomo Mortgage Raises $20M with Backing from Progressive Insurance®
Key to Tomo's success is its use of AI to streamline sales and underwriting processes. These tools make getting a mortgage much faster, more accurate, and far less expensive than at other mortgage lenders. Tomo saves the typical homebuyer $4,000 at closing.
Abu Dhabi to introduce the world's largest drone light show, elevating cultural and technological storytelling
Abu Dhabi is set to launch a pioneering initiative that will integrate cutting-edge drone technology into large-scale immersive storytelling, further solidifying its position as a global hub for innovation in culture and entertainment. The synchronised drone performances will create artistic narratives across multiple iconic locations, weaving together the emirate's rich heritage and dynamic future.
Publicis Sapient Announces Global Strategic Collaboration Agreement with Amazon Web Services to Accelerate Enterprise IT Modernization
Publicis Sapient will leverage AWS's advanced generative AI services to help enterprises accelerate their digital business transformation journeys and more easily build personalized campaigns and experiences to reduce churn and enhance customer loyalty.
Flagship Pioneering Unveils Lila Sciences to Build Superintelligence in Science
Lila's Autonomous Science platform is designed to, with human guidance, scale and optimize experimentation in any scientific domain by combining generative AI with generalizable, scalable and autonomous AI science units. In just a few years of development, the platform has demonstrated performance in multiple domains that exceed human and existing AI-powered benchmarks.
The algorithm can effectively defend against attacks by malicious nodes and ensure the accuracy and integrity of transactions while ensuring the normal operation of the system.
Lowe's Style Studio™ for Apple Vision Pro Expands to Lowe's Stores in Austin, Texas
'This immersive in-store technology leverages the spatial computing technology of Apple Vision Pro to make it easier for customers to visualize, plan, and shop their dream kitchens—all in one seamless experience,' said Lowe's Chief Digital and Information Officer Seemantini Godbole.
Cantor Fitzgerald partners with digital asset custodians Anchorage Digital and Copper.co to support Bitcoin financing business
'Cantor Fitzgerald and Anchorage Digital share a track record of integrating Bitcoin into the world of traditional finance,' said Nathan McCauley, CEO and Co-Founder of Anchorage Digital. 'Our partnership marks a major step forward for the Bitcoin financing ecosystem—built on the safety and security of federally regulated digital asset custody.'
In a Changing Media Landscape, Assemble Launches Peer Intelligence Platform as Business Leaders Seek Trusted Sources
The platform creates professionally facilitated communities where leaders can access market-tested insights from others who have navigated similar challenges, enabling more confident decision-making across critical business functions.
Voyager and Palantir Developing AI-Powered Solution for Space Domain Awareness Applications
'We're developing an integrated solution, harnessing the power of AI with Palantir's software stack and taking advantage of real-time radio frequency streams and imagery to perform space-based object detection, identification, classification and tracking,' said Matt Magaña, President of Defense and National Security at Voyager.
Now in its 84th year, the competition celebrates and rewards young innovators who are applying their Science, Technology, Engineering and Math (STEM) talent and leadership skills to push the boundaries of discovery and address today's pressing challenges.
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Miami Herald
14 minutes ago
- Miami Herald
Microsoft CEO makes bold statement on company's future
In a candid memo released July 24, Microsoft CEO Satya Nadella addressed what he called the issue "weighing heavily" on him: the company's ongoing layoffs. More than 15,000 Microsoft employees have been let go in 2025 alone, as part of what Nadella described as a necessary but painful restructuring in the age of AI. Don't miss the move: Subscribe to TheStreet's free daily newsletter The company also cut nearly 2,000 additional staff deemed "low performers" earlier this year. "I want to speak to what's been weighing heavily on me, and what I know many of you are thinking about: the recent job eliminations," he wrote. Related: OpenAI CEO Sam Altman says that ChatGPT is not the way to superintelligence Recall Nadella wrote a similar note in 2023 - shortly after the company paused raises and announced its first significant layoffs of the post-pandemic era. He faced criticism at the time for placing too much focus on the company's outperformance without acknowledging those difficult moves. Despite the cuts, investors have rewarded Microsoft's leaner operating model. The company's stock closed above $500 for the first time on July 9, a symbolic milestone that arguably underscores Wall Street's growing faith in Microsoft's AI strategy. In his July memo, Nadella used stark language to describe the current environment, stating: "This is the enigma of success in an industry that has no franchise value." "Progress isn't linear," he added. "It's dynamic, sometimes dissonant, and always demanding. But it's also a new opportunity for us to shape, lead through, and have greater impact than ever before." For the past decade, Microsoft (MSFT) has operated under a unifying purpose: to empower every person and every organization on the planet to achieve more. But Nadella says that vision now needs to evolve. Related: Analysts unveil bold Amazon stock price target before earnings "We must reimagine our mission for a new era," he wrote. "What does empowerment look like in the era of AI? It's not just about building tools for specific roles or tasks. It's about building tools that empower everyone to create their own tools." This shift reflects the company's broader transformation from a software-centric business to what Nadella calls an "intelligence engine empowering every person and organization to build whatever they need to achieve." Microsoft's strategy hinges on positioning itself at the center of the AI value chain. Its Azure cloud platform is rapidly becoming the infrastructure of choice for AI workloads. OpenAI, as well as other major AI labs and enterprises, use Microsoft's GPU-centric cloud services to train and deploy large models. Copilot, Microsoft's generative AI assistant, has also been integrated into Office, GitHub, and enterprise software suites. More Tech Stocks: Amazon tries to make AI great again (or maybe for the first time)Veteran portfolio manager raises eyebrows with latest Meta Platforms moveGoogle plans major AI shift after Meta's surprising $14 billion move By reframing Microsoft as a platform that enables AI-native innovation, Nadella aims to extend the company's dominance beyond cloud and productivity into the AI-native economy. Nadella's statement marks a strategic realignment that mirrors an entire industry in transition. As Microsoft retools its mission, the world is watching to see if it can balance innovation, values, and leadership in one of the most disruptive technological shifts in history. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc.
Yahoo
42 minutes ago
- Yahoo
China proposes global cooperation body on AI
SHANGHAI, July 27, 2025 /PRNewswire/ -- A news report from The Chinese government has proposed the establishment of a world AI cooperation organization as part of its efforts to bolster open, inclusive and equitable artificial intelligence development and governance globally. Premier Li Qiang announced the initiative when addressing the opening ceremony of the 2025 World AI Conference and High-Level Meeting on Global AI Governance in Shanghai. Li emphasized the need for collaborative approaches to global AI governance to ensure that intelligent technologies are developed for the good of all. More than 1,000 high-level representatives from upwards of 40 countries and international organizations attended the opening ceremony of the three-day event, themed "Global Solidarity in the AI Era". Li said that the risks and challenges brought by AI development, such as machine hallucinations, deep fakes and AI proliferation, have aroused widespread attention. There is an urgent need to further consolidate a societal consensus on how to achieve a balance between development and security in the AI sector, he said. Li said greater emphasis should be placed on collective governance to ensure that AI ultimately benefits humanity. Given that global AI governance appears fragmented, it is essential to enhance coordination and alignment among countries around the world to establish a framework and rules for global AI governance with a broad consensus, he added. Noting that China places great importance on global AI governance and actively participates in promoting multilateral and bilateral cooperation in this regard, the premier said the nation is willing to offer more Chinese solutions to the international community and contribute more Chinese wisdom to global AI governance. In 2023, China proposed the Global AI Governance Initiative to promote an open, inclusive and fair approach to the development and governance of AI technologies. Last year, China proposed the AI Capacity-Building Action Plan for Good and for All to bridge the AI and digital divides, and to ensure the Global South benefits equitably from AI development. China actively promotes open source development, and is willing to collaborate with countries around the world to promote progress in software and hardware technologies, intensify open source initiatives, and collectively propel AI development to higher levels, Li said. Also on July 26, the conference adopted the Global AI Governance Action Plan, which calls on all parties to work in solidarity to advance AI development and governance. For more information: View original content to download multimedia: SOURCE Sign in to access your portfolio
CNET
44 minutes ago
- CNET
AI Is Taking Over Your Search Engine. Here's a Look Under the Hood
For decades, the way we find information on the internet changed only in small ways. Doing a traditional Google search today doesn't feel all that different from when, in the 1990s, you would Ask Jeeves. Sure, a lot has changed under the hood, the results are likely far more relevant and the interface has some new features, but you're still typing in keywords and getting a list of websites that might hold the answer. That way of searching, it seems, is starting to go the way of AltaVista, may it rest in peace. In May, Google announced the rollout of its new AI Mode for search, which uses a generative AI model (based on the company's Gemini large language model) to give you conversational answers that feel a lot more like having a chat and less like combing through a set of links. Other companies, like Perplexity and OpenAI, have also deployed search tools based on gen AI. These tools, which merge the functionality of a chatbot and a traditional search engine, are quickly gaining steam. You can't even escape AI by doing just a regular Google search: AI Overviews have been popping up atop those results pages since last year, and about one in five searches are now showing this kind of summary, according to a Pew Research Center report. I'm surprised it's not even more than that. These newfangled search tools feel a lot like your typical chatbot, like ChatGPT, but they do things a little differently. Those differences share a lot of DNA with their search engine ancestors. Here's a look under the hood at how these new tools work, and how you can use them effectively. Everything Announced at Google I/O 2025 Everything Announced at Google I/O 2025 Click to unmute Video Player is loading. Play Video Pause Skip Backward Skip Forward Next playlist item Unmute Current Time 0:13 / Duration 15:40 Loaded : 6.33% 00:13 Stream Type LIVE Seek to live, currently behind live LIVE Remaining Time - 15:27 Share Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color White Black Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Text Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Opaque Semi-Transparent Transparent Caption Area Background Color Black White Red Green Blue Yellow Magenta Cyan Opacity Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Drop shadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Reset Done Close Modal Dialog End of dialog window. Close Modal Dialog This is a modal window. This modal can be closed by pressing the Escape key or activating the close button. Close Modal Dialog This is a modal window. This modal can be closed by pressing the Escape key or activating the close button. Everything Announced at Google I/O 2025 Search engines vs. AI search: What's the difference? The underlying technology of a search engine is kinda like an old library card catalog. The engine uses bots to crawl the vast expanses of the internet to find, analyze and index the endless number of web pages. Then, when you do a search to ask who played Dr. Angela Hicks on ER, because you're trying to remember what else you've seen her in, it will return pages for things like the cast of ER or the biography of the actor, CCH Pounder. From there, you can click through those pages, whether they're on Wikipedia or IMDB or somewhere else, and learn that you know CCH Pounder from her Emmy-winning guest appearance on an episode of The X-Files. "When customers have a certain question, they can type that question into Google and then Google runs their ranking algorithms to find what content is the best for a particular query," Eugene Levin, president of the marketing and SEO tool company Semrush, told me. Generally, with a traditional search, you have to click through to other websites to get the answer you're looking for. When I was trying to figure out where I recognized CCH Pounder from, I clicked on at least half a dozen different sites to track it down. That included using Google's video search -- which combs an index of videos across different hosting platforms -- to find clips of her appearance on The X-Files. Google announced AI Mode at its I/O developer conference in May. Google/Screenshot by Joe Maldonado/CNET These multiple searches don't necessarily have to happen. If I just want to know the cast of ER, I can type in "cast of ER" and click on the Wikipedia page at the top. You'll usually find Wikipedia or another relevant, trustworthy site at or near the top of a search result page. That's because a main way today's search algorithms work is by tracking which sites and pages get most links from elsewhere on the web. That model, which "changed the game for search" when Google launched it in the 1990s, was more reliable than indexing systems that relied on things like just how many times a keyword appeared on a page, said Sauvik Das, associate professor at Carnegie Mellon University's Human-Computer Interaction Institute. "There's lots of cookie recipes on the web, but how do you know which ones to show first?" Das said. "Well, if a bunch of other websites are linking to this website for the keywords of 'cookie recipe,' that's pretty difficult to game." AI-powered search engines work a little differently, but operate on the same basic infrastructure. In my quest to see where I recognized CCH Pounder from, I asked Google's AI Mode, literally, "Where do I recognize the actress who plays Dr. Angie Hicks on ER from?" In a conversation that felt far more like chatting with a bot than doing searches, I narrowed it down. The first result gave me a list of shows and movies I hadn't seen, so I asked for a broader list, which featured her guest appearances on other shows. Then I could ask for more details about her X-Files appearance, and that narrowed it down. While the way I interacted with Google was different, the search mechanisms were basically the same. AI Mode just used its Gemini model to develop and process dozens of different web searches to gather the information needed, Robby Stein, vice president of product for Google Search, told me. "A user could've just queried each of those queries themselves." Basically, AI Mode did the same thing I did, just a lot faster. So many searches, so little time The approach here is called "query fan-out." The AI model takes your request and breaks it down into a series of questions, then conducts searches to answer those components of the request. It then takes the information it gathers from all those searches and websites and puts it together in an answer for you. In a heartbeat. Those searches are using the same index that a traditional search would. "They work on the same foundation," Levin said. "What changes is how they pull information from this foundation." This fan-out process allows the AI search to pull in relevant information from sites that might not have appeared on the first page of traditional search results, or to pull a paragraph of good information from a page that has a lot more irrelevant information. Instead of you going down a rabbit hole to find one tiny piece of the answer you want, the AI goes down a wide range of rabbit holes in a few seconds. "They will anticipate, if you're looking for this, what is the next thing you might be interested in?" Levin said. Read more: AI Essentials: 29 Ways You Can Make Gen AI Work for You, According to Our Experts The number of searches the AI model will do depends on the tool you're using and on how complicated your question is. AI Mode that uses Google's Deep Search will spend more time and conduct more searches, Stein said. "Increasingly, if you ask a really hard question, it will use our most powerful models to reply," Stein said. The large language models that power these search engines also have their existing training data to pull from or use to guide their searches. While a lot of the information is coming from the up-to-date content it finds by searching the web, some may come from that training data, which could include reams of information ranging from websites like this one to whole libraries of books. That training data is so extensive that lawsuits over whether AI companies actually had the right to use that information are quickly multiplying. (Disclosure: Ziff Davis, CNET's parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.) AI search isn't just a chatbot Not relying on training data is one thing that sets an AI-powered search engine apart from a traditional chatbot, even though the underlying language model might be largely the same. While ChatGPT Search will scour the internet for relevant sites and answers, regular ChatGPT might rely on its own training data to answer your question. "The right answer might be in there," Das said. "It might also hallucinate a likely answer that isn't anywhere in the pre-training data." The AI search uses a concept called retrieval-augmented generation to incorporate what it finds on the internet into its answer. It collects information from a source you point it to (in this case, the search engine index) and tells it to look there instead of making something up if it can't find it in its training data. "You're telling the AI the answer is here, I just want you to find where," Das said. "You get the top 10 Google results, and you're telling the AI the answer is probably in here." Perplexity offers AI-powered search through its app and through a newly announced browser. Stefani Reynolds/Bloomberg via Getty Images Can you really trust AI search results? These AI-powered search tools might be more reliable than just using a chatbot itself, because they're pulling from current, relevant information and giving you links, but you still have to think critically about it. Here are some tips from the experts: Bring your human skepticism Consider how bad people are at telling when you're sarcastic on the internet. Then think about how bad a large language model might be at it. That's how Google's AI Overviews came up with the idea to put glue on pizza -- by pulling information from a humorous Reddit post and repeating it as if it were real culinary advice. "The AI doesn't know what is authentic and what is humorous," Das said. "It's going to treat all that information the same." Remember to use your own judgement and look for the sources of the information. They might not be as accurate as the LLM thinks, and you don't want to make important life decisions based on somebody's joke on an internet forum that a robot thought was real. AI can still make stuff up Even though they're supposed to be pulling from search results, these tools can still make things up in the absence of good information. That's how AI Overviews started creating fake definitions for nonsensical sayings. The retrieval-augmented generation might reduce the risk of outright hallucinations but doesn't eliminate it, according to Das. Remember that an LLM doesn't have a sense of what the right answer to a question is. "It's just predicting what is the next English word that would come after this previous stream of other English words or other language words," Das said. "It doesn't really have a concept of truthiness in that sense." Check your sources Traditional search engines are very hands-off. They will give you a list of websites that appear relevant to your search and let you decide whether you want to trust them. Because an AI search is consolidating and rewriting that information itself, it may not be obvious when it's using an untrustworthy source. "Those systems are not going to be entirely error-free, but I think the challenge is that over time you will lose an ability to catch them," Levin said. "They will be very convincing and you will not know how to really go and verify, or you will think you don't need to go and verify." But you can check every source. But that's exactly the kind of work you were probably hoping to avoid using this new system that's designed to save you time and effort. "The problem is if you're going to do this analysis for every query you perform in ChatGPT, what is the purpose of ChatGPT?" Levin said.
