If you have a weak stomach, I don’t recommend watching one of the many videos on social media of influencers dipping their spoons into a jar of sea moss and putting mounds of the congealed substance – with a texture resembling congealed oil or snot – straight into their mouths. “People have this assumption that it’s disgusting,” one influencer says, holding a spoonful in her mouth and, while seemingly trying not to swallow, insisting: “It’s really not.” Another dry-retches as soon as it passes her lips. Sea moss, which is closely related to Irish moss, usually comes in a jar, costs upwards of $35, and, depending on added ingredients, can be bubblegum pink or aquamarine. Many labels describe the “natural” product as containing added chlorella. What is sea moss and why is it on TikTok? “It cleared up all my acne” and “it resolved my gut issues” are common claims, used about the potential health benefits of sea moss. “It contains over 92 essential nutrients your body needs,” another influencer claims, recommending two tablespoons on an empty stomach, though the video never shows her actually swallowing it even though she repeatedly lifts a heaped spoon towards her mouth. Dr Margaret Murray, the course director for Swinburne University’s bachelor of nutrition, says both chlorella and sea moss are types of algae, and a lot of research has been done on algae and algal products to investigate potential human health benefits. Its growing use in wellness products is part of the reason the “algae products market” is expected to reach A$5.2bn (US$3.7bn) by 2034. “A lot of this research has been conducted using cell or animal models with fewer studies using human participants,” Murray says, with some of this early stage research suggesting algae may help to manage blood sugar levels or support healthy cholesterol. However, there are many reasons why animal or cell studies are poor predictors of impacts in humans. “It is also unlikely that an average healthy person is going to n...

Demand for OCC’s Micron and tech classes is outpacing the school’s ability to hire faculty Syracuse.com

When an OpenAI finance analyst needed to compare revenue across geographies and customer cohorts last year, it took hours of work — hunting through 70,000 datasets, writing SQL queries, verifying table schemas. Today, the same analyst types a plain-English question into Slack and gets a finished chart in minutes. The tool behind that transformation was built by two engineers in three months. Seventy percent of its code was written by AI. And it is now used by more than 4,000 of OpenAI's roughly 5,000 employees every day — making it one of the most aggressive deployments of an AI data agent inside any company, anywhere. In an exclusive interview with VentureBeat, Emma Tang, the head of data infrastructure at OpenAI whose team built the agent, offered a rare look inside the system — how it works, how it fails, and what it signals about the future of enterprise data. The conversation, paired with the company's blog post announcing the tool, paints a picture of a company that turned its own AI on itself and discovered something that every enterprise will soon confront: the bottleneck to smarter organizations isn't better models. It's better data. "The agent is used for any kind of analysis," Tang said. "Almost every team in the company uses it." A plain-English interface to 600 petabytes of corporate data To understand why OpenAI built this system, consider the scale of the problem. The company's data platform spans more than 600 petabytes across 70,000 datasets. Even locating the correct table can consume hours of a data scientist's time. Tang's Data Platform team — which sits under infrastructure and oversees big data systems, streaming, and the data tooling layer — serves a staggering internal user base. "There are 5,000 employees at OpenAI right now," Tang said. "Over 4,000 use data tools that our team provides." The agent, built on GPT-5.2 and accessible wherever employees already work — Slack , a web interface, IDEs , the Codex CLI , and OpenAI's internal ChatGPT ...

NEW YORK, March 3, 2026 /PRNewswire/ -- The Gross Law Firm issues the following notice to shareholders of Oracle Corporation (NYSE: ORCL). Shareholders who purchased shares of ORCL during the class period listed are encouraged to contact the firm regarding possible lead plaintiff appointment. Appointment as lead plaintiff is not required to partake in any recovery. CONTACT US HERE: https://securitiesclasslaw.com/securities/oracle-corporation-loss-submission-form/?id=183946&from=4 CLASS PERIOD: June 12, 2025 to December 16, 2025 ALLEGATIONS: The complaint alleges that during the class period, Defendants issued materially false and/or misleading statements and/or failed to disclose that: (1) the Company's AI infrastructure strategy would result in massive increases in capital expenditures without equivalent, near-term growth in revenue; (2) the Company's substantially increased spending created serious risks involving Oracle's debt and credit rating, free cash flow, and ability to fund its projects, among other concerns; and (3) as a result, defendants' representations about the Company's business, operations, and prospects were materially false and misleading and/or lacked a reasonable basis. DEADLINE: April 6, 2026 Shareholders should not delay in registering for this class action. Register your information here: https://securitiesclasslaw.com/securities/oracle-corporation-loss-submission-form/?id=183946&from=4 NEXT STEPS FOR SHAREHOLDERS: Once you register as a shareholder who purchased shares of ORCL during the timeframe listed above, you will be enrolled in a portfolio monitoring software to provide you with status updates throughout the lifecycle of the case. The deadline to seek to be a lead plaintiff is April 6, 2026. There is no cost or obligation to you to participate in this case. WHY GROSS LAW FIRM? The Gross Law Firm is a nationally recognized class action law firm, and our mission is to protect the rights of all investors who have suffered as a result of...

alexey_ds/iStock via Getty Images Strategy overview The Fund seeks potential enhanced stability of returns over a market cycle through investments in global companies with potential to benefit from increased infrastructure spending, and by selling call options on select equity Indexes or exchange-traded funds. Portfolio review For the quarter, the Fund provided a total return of 3.57% on a net asset value basis, and a total return of 4.78% on a market price basis. For the same period, the Fund's reference Index, the Voya Infrastructure Industrials and Materials Custom Index (the Index), returned 2.93%. For the reporting period, the equity sleeve of the Fund outperformed the Index , due to positive performance from the core model. The sentiment pillar contributed the most while the operations pillar detracted the most. On the regional level, stock selection in the Canada, Europe-Euro, and United States regions contributed the most while stock selection in the Asia Ex-Japan and United Kingdom regions detracted the most. At the sector level stock selection in materials and utilities contributed the most to performance. Among the key individual contributors were an overweight position in Lundin Mining Corp. ( LUNMF ), an underweight position in Rheinmetall AG ( RNMBF )( RNMBY ), and an overweight position in Barrick Mining Corp. ( B ). Conversely, stock selection within industrials, information technology, and communication services had a negative impact on performance. At the stock level, the overweight positions in F5, Inc. ( FFIV ) and AECOM ( ACM ) as well as an underweight position in Caterpillar Inc. ( CAT ) detracted the most. Option Portfolio During the quarter, the Fund's option strategy had a positive impact on returns. The covered call strategy seeks to generate premiums and retain some potential for upside appreciation. The Fund implemented this strategy by typically writing call options on sector and regional exchange-traded funds (ETFs), the selection and ...

is a senior reporter who’s been covering and reviewing the latest gadgets and tech since 2006, but has loved all things electronic since he was a kid. Posts from this author will be added to your daily email digest and your homepage feed. GoPro has announced a new processor today that the company says will “power GoPro’s next generation of cameras across current and future products” — and will debut in cameras launching in Q2 2026. There were no details shared about what cameras GoPro plans to launch in the coming months, but the company says its new GP3 chip will be its “most powerful custom imaging processor to date,” improving the low-light and thermal performance of its small form-factor cameras to extend run times. The GoPro GP2 is the processor currently found in GoPro cameras that have been released since 2021. It already uses AI to optimize camera settings for different filming environments, like underwater videography or shooting in snow, and for automatically tracking and focusing on subjects in frame. The new GP3 processor will feature a “specialized AI Neural Processor Unit (NPU) that enables next-generation video pixel processing and market-leading low-light image performance,” according to GoPro, with “dedicated cores” to improve scene recognition and subject detection. The new GP3 processor will also “enable market-leading resolutions and frame rates” and “cinema-grade performance” that will help GoPro deliver cameras that will cater to the “ultra-premium end of the imaging market,” says Nicholas Woodman, GoPro’s founder and CEO, in a press release. While GoPro made its name with cameras targeted toward athletes and adventurers, it seems like the company is looking to attract filmmakers in order to expand its user base and business this year. Today’s news follows the debut of the Samsung Galaxy S26 Ultra smartphone last week featuring advanced stabilization capabilities that have traditionally only been found in action cams and high-end cameras.

is a senior reporter who’s been covering and reviewing the latest gadgets and tech since 2006, but has loved all things electronic since he was a kid. After supersizing its Stream Deck controller into a product designed for professional broadcast environments in 2024, Elgato is giving a similar treatment to the three-year-old Stream Deck Plus. The new Stream Deck Plus XL is essentially the same product as the original, but with more macro buttons, more dials, a wider touchscreen, and a bigger footprint. It’s also $150 more expensive. The original Stream Deck Plus is still $199.99, while the new XL version is $349.99. The original Stream Deck Plus had fewer buttons than the standard Stream Deck but offered expanded functionality through four additional dial controls and a touchscreen above them. The screen showed the functions mapped to each of those knobs, but they could also be used as buttons, in addition to other functionality. Instead of just triggering individual functions, the dials allowed precise adjustments to be made to settings like volume or gain. The elongated touchscreen shows the programmed functionality of each dial but can also serve as additional triggers. Image: Elgato The new Stream Deck Plus XL has the same LCD buttons with membrane switches as the smaller version, but 36 of them instead of just eight. It also has two additional dials, bringing the total to six, and a touchscreen that stretches across all the knobs. It will gobble up a little more desktop space, but if you need more than 15 buttons, the Stream Deck Plus XL will give you more than twice as many while taking up far less space than daisy-chaining a pair of standard Stream Decks.

Micron Technology, Inc. News highlights: 1/3 the power consumption and 1/3 smaller footprint versus standard RDIMMs — enabled by the industry's first monolithic 32Gb LPDDR5X die 2.3 times faster time to first token for long-context LLM inference, and 3 times better performance per watt in stand-alone CPU applications 1.33 times more capacity per module — enabling 2TB LPDRAM per 8-channel server CPU for both AI and high-performance compute (HPC) A Media Snippet accompanying this announcement is available by clicking on this link. BOISE, Idaho, March 03, 2026 (GLOBE NEWSWIRE) -- Micron Technology, Inc. (Nasdaq: MU) today extended its leadership in low-power server memory by shipping customer samples of the industry’s highest-capacity LPDRAM module — 256GB SOCAMM2. Enabled by the industry’s first monolithic 32Gb LPDDR5X design, this milestone represents a transformational step forward for AI data centers, delivering low-power memory capacity that can unlock new system architectures. The convergence of AI training, inference, agentic AI and general-purpose compute are driving more demanding memory requirements and reshaping data center system architectures. Modern AI workloads drive large model parameters, expansive context windows and persistent key value (KV) caches, while core compute continues to scale in data intensity, concurrency and memory footprint. Across these workloads, memory capacity, bandwidth efficiency, latency and power efficiency have become primary system level constraints, directly influencing performance, scalability and total cost of ownership. LPDRAM’s unique combination of these attributes position it as a cornerstone solution for both AI and core compute servers in increasingly power and thermally constrained data center environments. Micron is collaborating with NVIDIA to co-design sophisticated memory for the needs of advanced AI infrastructure. “Micron’s 256GB SOCAMM2 offering enables the most power-efficient CPU-attached memory solution for...

Apple’s new M5 MacBook Air doubles storage and speeds up AI Stock Titan

New MacBook Pro chips bring 4x AI power for creative pros Stock Titan

Inside NVIDIA’s four-day AI mega-conference bringing 30,000 people to San Jose Stock Titan

Luxury watch devotees can now bet on where the price of their beloved Rolex is headed or which model Patek Philippe will discontinue. Kalshi Inc. is working with watch marketplace Bezel to create so-called event contracts tied to high-end watches as part of a push to expand betting on collectibles, according to executives at the companies. It’s the latest in a string of prediction products rolled out for goods such as sneakers and items like Labubus and Pokémon cards. The contracts allow users to trade on outcomes such as whether an item will surpass a price threshold or predict whether a brand will launch a new model. Watches have “been viewed as a financial market for a really long period of time, but it’s also passion-driven, and a lot of folks are just collecting because they love having something on their wrist,” Quaid Walker, chief executive officer and co-founder of Bezel, said in an interview. Prediction markets and platforms like Kalshi and Polymarket have attracted interest and financial backing from large financial institutions. Kalshi, which has been valued at $11 billion, recently struck a deal with Tradeweb Markets Inc. to stream its pricing and data to investment firms. Their fast growth isn’t without challenges. Regulators in several US states have challenged the business, arguing their sports contracts are constitute gambling instead of a derivatives market. There are also concerns around market manipulation, insider trading and other controversies. This weekend, as US and Israeli bombs fell on Iran, traders rushed to cash in. On Polymarket, contracts tied to the timing of US strikes had drawn more than $529 million in volume and faced immediate questions about whether people with inside information had profited from the conflict. Read More: Iran Strikes Expose Dark Edge Case of Prediction-Market Era Bezel built its own mathematical tool to price watches for buyers and sellers based on real-time sales data. That pricing model will be integrated into...

M5 delivers incredible performance for everything users want to tackle, from everyday productivity to creative workflows. MacBook Air with M5 features a 10-core CPU with the world’s fastest CPU core for even more responsiveness. 1 Combined with an up-to-10-core GPU with a powerful Neural Accelerator in each core, MacBook Air with M5 delivers up to 4x faster performance for AI tasks than MacBook Air with M4, and up to 9.5x faster than MacBook Air with M1. 2 This makes it an incredibly capable platform for AI — whether using Apple Intelligence across apps and system experiences at home, or running LLMs on device in an enterprise. 3 "The new MacBook Air with M5 brings incredible performance and even more capability to the world’s most popular laptop," said John Ternus, Apple’s senior vice president of Hardware Engineering. "With M5, MacBook Air powers through a wide range of tasks, from everyday productivity to creative workloads, and is even faster for AI. Now featuring double the starting storage, as well as Wi-Fi 7 and Bluetooth 6, in a sleek and durable design with long battery life, MacBook Air is the perfect laptop for anyone who values the unrivaled combination of performance and portability." CUPERTINO, Calif., March 03, 2026 --( BUSINESS WIRE )--Apple® today announced the new MacBook Air ® with M5, bringing exceptional performance and expanded AI capabilities to the world’s most popular laptop. M5 features a faster CPU and next-generation GPU with a Neural Accelerator in each core, enabling MacBook Air to power through a variety of workflows, from creative projects to complex AI tasks. MacBook Air now comes standard with double the starting storage at 512GB with faster SSD technology, and is configurable up to 4TB, so customers can keep their most important work on hand. Apple’s N1 wireless chip delivers Wi-Fi 7 and Bluetooth 6 for seamless connectivity on the go. MacBook Air features a beautifully thin, light, and durable aluminum design, stunning Liquid Reti...

Micron Technology, Inc. News highlights: 1/3 the power consumption and 1/3 smaller footprint versus standard RDIMMs — enabled by the industry's first monolithic 32Gb LPDDR5X die 2.3 times faster time to first token for long-context LLM inference, and 3 times better performance per watt in stand-alone CPU applications 1.33 times more capacity per module — enabling 2TB LPDRAM per 8-channel server CPU for both AI and high-performance compute (HPC) A Media Snippet accompanying this announcement is available by clicking on this link. BOISE, Idaho, March 03, 2026 (GLOBE NEWSWIRE) -- Micron Technology, Inc. (Nasdaq: MU) today extended its leadership in low-power server memory by shipping customer samples of the industry’s highest-capacity LPDRAM module — 256GB SOCAMM2. Enabled by the industry’s first monolithic 32Gb LPDDR5X design, this milestone represents a transformational step forward for AI data centers, delivering low-power memory capacity that can unlock new system architectures. The convergence of AI training, inference, agentic AI and general-purpose compute are driving more demanding memory requirements and reshaping data center system architectures. Modern AI workloads drive large model parameters, expansive context windows and persistent key value (KV) caches, while core compute continues to scale in data intensity, concurrency and memory footprint. Across these workloads, memory capacity, bandwidth efficiency, latency and power efficiency have become primary system level constraints, directly influencing performance, scalability and total cost of ownership. LPDRAM’s unique combination of these attributes position it as a cornerstone solution for both AI and core compute servers in increasingly power and thermally constrained data center environments. Micron is collaborating with NVIDIA to co-design sophisticated memory for the needs of advanced AI infrastructure. “Micron’s 256GB SOCAMM2 offering enables the most power-efficient CPU-attached memory solution for...

Micron 256GB AI server memory uses one-third the power of RDIMMs Stock Titan

Governance, Risk, and Compliance (GRC) aligns AI operations with regulatory, policy, and ethical standards for transparent and trustworthy AI systems. F5 AI Guardrails acts as a proxy for AI traffic, inspecting prompts and responses to prevent data leakage, mitigate prompt injection, and block other AI-targeted attacks. The solution also provides observability, logging, and traceability features such as watermarking to support compliance and security audits. ARMOR is divided into six primary domains to ensure comprehensive, modular coverage of the full AI lifecycle, with "Cyber Resilience" acting as an additional umbrella. Each domain targets a distinct security challenge, enabling organizations to align their defenses with real-world threats, regulatory requirements, and operational maturity for scalable, resilient AI deployments. Within each domain, there are myriad use cases for a variety of F5 offerings, with notable examples included below: "For organizations of any size, ARMOR provides a scalable framework that can be continuously refined as new partners and technologies join the ecosystem," said Istvan Berko, Global Head of AI Cyber and Innovation at WWT. "By embedding security from chip-to-cloud and aligning with industry organizations and compliance mandates, ARMOR articulates an end-to-end AI security approach that provides comprehensive coverage over key IT domains." The ARMOR framework conceptualizes an advanced, modular cybersecurity solution delivered by WWT to meet the needs of enterprises facing unprecedented growth in the rate, scale, and sophistication of cyberattacks. It focuses on providing AI-powered threat detection, mitigation, and visibility while integrating with industry-leading solutions from the F5 Application Delivery and Security Platform (ADSP). This combination ensures that workloads are deployed and accessed safely and efficiently, no matter where they reside across multicloud environments. SEATTLE, March 03, 2026 --( BUSINESS WIRE )...

Workato’s AI Research Lab achieves 67% higher throughput, 77% faster time-to-first-token, and 67% lower inference costs on DigitalOcean’s Agentic Inference Cloud, powered by NVIDIA BROOMFIELD, Colo., March 03, 2026--(BUSINESS WIRE)--DigitalOcean (NYSE: DOCN), the Agentic Inference Cloud built for production AI, today announced that Workato’s AI Research Lab is using its vertically integrated, inference-optimized platform, accelerated by NVIDIA Hopper GPUs, to advance the development of its next-generation enterprise AI agents while materially improving performance, cost efficiency, and deployment speed. After moving its AI Labs workloads to DigitalOcean, Workato achieved immediate gains for frontier models, including Llama-3.3-70B: Inference cost: $0.77 power 1M tokens – 67% lower Throughput: 13,561 tokens per second per GPU – 67% higher Time-to-First-Token (TTFT): 1,455 ms at high load – 77% faster Time-to-Value: Reduced from weeks to days – 2X+ acceleration With thousands of customers globally deploying over 1 trillion tasks since 2013, the Workato ONE platform enables customers to build, deploy, and govern AI agents at an enterprise scale. Built on a decade of integration expertise spanning 14,000+ applications, Workato's platform enables organizations to move from simple automation to agentic AI that can reason, act, and orchestrate work across the entire business. To support that vision, Workato AI Research Lab required infrastructure capable of handling distributed training and sustained, reasoning-heavy inference under real production load. Not only was DigitalOcean able to provide high-performance NVIDIA Hopper GPUs faster than any other provider for the team to begin their work, but the Workato AI Research Lab team quickly discovered the significant performance boost and TCO improvement as a result of DigitalOcean’s inference-optimized architecture and simplified experience. "Before DigitalOcean, we didn’t have a dedicated solution for in-house training and...

Duos Technologies Group, Inc The offering was led by several of the company’s largest existing shareholders alongside new institutional investors The financing positions the company to capitalize on ~$200M NVIDIA GPU hosting LOI with Hydra Host under new CEO, Doug Recker JACKSONVILLE, Fla., March 03, 2026 (GLOBE NEWSWIRE) -- Duos Technologies Group, Inc. (“Duos” or the “Company”) (Nasdaq: DUOT), a leading provider of adaptive, modular, and scalable Edge Data Center (“EDC”) solutions, today announced it has closed its underwritten public offering of 8,666,666 shares of common stock for total gross proceeds of approximately $65 million, before deducting underwriting discounts, commissions, and offering expenses. The offering included participation from several of the Company’s largest existing institutional shareholders alongside new institutional investors. The financing positions the Company to capitalize on its approximately $200 million NVIDIA GPU hosting letter of intent with Hydra Host under the leadership of Doug Recker, who will become Chief Executive Officer effective April 1, 2026. The closing of the offering occurred on March 2, 2026. “This financing represents a strong vote of confidence from both new and existing investors, as well as our new strategic partner Hydra Host, in Duos’ leadership, strategy and growth trajectory,” said Mr. Recker. “With this capital now secured, we can pursue our $200 million LOI, while accelerating the commercialization of our high-power EDC business model. We are expanding our Edge AI platform, advancing hyperscaler-aligned AI infrastructure initiatives, and positioning the Company to scale toward our 2026 objectives. Demand for distributed AI compute and GPU capacity continues to build, and we believe Duos is strategically positioned to convert that demand into sustained revenue growth and long-term shareholder value.” The net proceeds from the offering will be used to expand, accelerate, and further commercialize the Compan...

GTC Live Keynote Pregame Show: The pregame show will feature industry leaders discussing accelerated computing beyond AI as well as the five-layer stack behind the largest infrastructure buildouts in human history — in addition to the ecosystem required to deliver it worldwide. Virtual attendees can catch the pregame show live online on Monday, March 16, at 8 a.m. PT. Notable speakers include Perplexity CEO Aravind Srinivas, LangChain CEO Harrison Chase, Skild AI CEO Deepak Pathak, OpenEvidence CEO Daniel Nadler and Mistral AI CEO Arthur Mensch. 1,000+ Sessions: From AI factories and large-scale inference to robotics, digital twins, scientific computing, quantum computing and enterprise AI deployments, GTC sessions will dive into building, scaling and optimizing every layer of the AI stack and how they interconnect in real-world production environments. Huang will host a discussion on the state of the art in open frontier models and what comes next with industry leaders from A16Z, AI2, AMP Coalition, Black Forest Labs, Cursor, Reflection AI and Thinking Machines Lab. AI Is a Five-Layer Cake: GTC will showcase every layer of AI spanning energy, chips, infrastructure, models and applications. Through keynotes, sessions and demos, attendees will see how each layer has its own ecosystem of partners, technologies and skilled jobs, and how the coordination of these layers is driving one of the largest infrastructure expansions in history. What to Expect at GTC 2026 Keynote: Huang will deliver the keynote from SAP Center on Monday, March 16, at 11 a.m. PT. The keynote will outline NVIDIA’s latest advancements across the full AI stack, from accelerated compute and AI factories to open models, agentic systems and physical AI, setting the industry’s direction for the year ahead. The keynote will be livestreamed and available on demand at nvidia.com . Registration is not required to view the keynote online . “GTC is the epicenter of the AI industrial era,” said Jensen Huang, f...

M5 Pro and M5 Max introduce the Apple-designed Fusion Architecture, a state-of-the-art design that connects two dies into a single SoC. This brings together two third-generation 3-nanometer dies with high bandwidth and low latency using advanced packaging. The two dies include a powerful new CPU, scalable GPU, Media Engine, unified memory controller, Neural Engine, and Thunderbolt 5 capabilities. "M5 Pro and M5 Max are a monumental leap forward for Apple silicon, leveraging our new Fusion Architecture to scale the capabilities of Apple silicon while preserving its core tenets of performance, power efficiency, and unified memory architecture," said Johny Srouji, Apple’s senior vice president of Hardware Technologies. "Both chips underscore our relentless pace of innovation, integrating the world’s fastest CPU cores, a next-generation GPU with Neural Accelerators, a faster Neural Engine, and high-bandwidth, high-capacity memory — resulting in an unparalleled combination of performance, efficiency, and incredible on-device AI capabilities for MacBook Pro." CUPERTINO, Calif., March 03, 2026 --( BUSINESS WIRE )--Apple® today announced M5 Pro and M5 Max, the world’s most advanced chips for pro laptops, powering the new MacBook Pro®. The chips are built using a new Apple-designed Fusion Architecture. This innovative design combines two dies into a single system on a chip (SoC), which includes a powerful CPU, scalable GPU, Media Engine, unified memory controller, Neural Engine, and Thunderbolt 5 capabilities. M5 Pro and M5 Max feature a new 18-core CPU architecture. It includes six of the highest-performing core design, now called super cores, that are the world’s fastest CPU core. 1 Alongside these cores are 12 all-new performance cores, optimized for power-efficient, multithreaded workloads. Collectively, the CPU significantly boosts performance by up to 30 percent for pro workloads. 2 The GPU scales up the next-generation architecture introduced in M5 to an up-to-40-core...

CUPERTINO, Calif., March 03, 2026--Apple® today announced a new family of displays engineered to pair beautifully with Mac® and meet the needs of everyone, from everyday users to the world’s top pros. The new Studio Display® features a 12MP Center Stage® camera, now with improved image quality and support for Desk View; a studio-quality three-microphone array; and an immersive six-speaker sound system with Spatial Audio. It also now includes powerful Thunderbolt 5 connectivity, providing more do

"We had been working directly with SAP for many years, but the maintenance services were costly, and the value added was quite questionable in comparison," said Thierry Le Gouanvic, CIO at Flexitech. "The strategic move to Rimini Street freed up significant budget while giving us faster, better support, and we were able to extend the life of our very stable SAP ECC 6 platform for at least 15 additional years without feeling pressure to take on a disruptive move to S/4HANA." Story Continues "The funds we saved, and the system stability achieved by moving to Rimini Street have empowered us to reinvest our people, time and money towards initiatives that put us on the forefront of innovation," said Le Gouanvic. "If we decide to acquire competitors or set up new manufacturing facilities in Asia or diversify into new types of hoses for cars, Rimini Street gives us the flexibility to support and optimize our SAP to align with our strategic direction." An End-to-End IT Partner that Scales with the Business "We previously had limited options when it came to external partners who could support us as our business expanded," said Le Gouanvic. "Rimini Street’s extensive capabilities and experienced team give us confidence that whatever our next step, our SAP systems will be supported and optimized to match our strategy." "Flexitech’s story demonstrates how organizations can unlock immediate value by moving away from costly, vendor-driven support models and toward a strategy that prioritizes stability, security and innovation," said James Harvey, regional CTO, EMEA, Rimini Street. "By choosing Rimini Street, Flexitech is preserving a reliable, mission-critical ERP foundation while redirecting critical resources toward business-driving initiatives – exactly what modern manufacturing leaders need to stay competitive in a rapidly evolving global market." Learn more about how Flexitech keeps SAP on track while shifting gears to innovation with Rimini Street. About Rimini Street, Inc....

Leading energy and chemicals company standardizes 150+ mission-critical applications across 7,000 devices and 200 servers SUNNYVALE, Calif., March 03, 2026--(BUSINESS WIRE)--Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today announced that Sasol, a global integrated chemicals and energy company headquartered in South Africa, has standardized more than 150 business-critical Java applications on Azul Core. The migration, completed in partnership with Optim-G, eliminated costly Oracle licensing fees, reduced total Java licensing costs by 92% and strengthened Sasol’s security and compliance posture across 7,000 devices and 200 servers. Sasol relies on Java to power its applications that support approximately $14 billion in annual turnover. Java is deeply embedded in the company’s IT landscape, ensuring smooth operations and mitigating the risk of potential production disruptions, shutdowns, or safety incidents. Escalating Costs and Security Risks Threatened Business Operations Before selecting Azul, Sasol faced growing risks and costs tied to its Java environment that directly impacted business operations: Escalating costs: Oracle’s unpredictable and changing license model for Java SE drove significant and unplanned expenses. Compliance complexity: Complex Oracle licensing terms and audit exposure carried legal and financial risk. Security concerns: Unsupported or outdated Java versions, including Java 6 and 7 and Java applets, left Sasol increasingly vulnerable to cyber threats and potential penalties under the European Union’s General Data Protection Regulation (GDPR) and South Africa’s Critical Infrastructure Protection Act. Because Sasol relies on Java for essential operations, addressing these escalating risks, cost, compliance and security was a strategic imperative. "Azul enabled us to take control of and future-proof our Java environment — reducing Java license costs by 92% while improving security and compliance," said Shail...

For enterprises, being able to study data unlocks much more than new ways to make money. The modern enterprise tech stack is mind-bogglingly complex — it employs dozens of tools that work together and break things in uniquely different ways, which is why being able to analyze data streams lets companies understand when, where, and why things break. But security teams can’t wait until something’s broken to fix it. To use a metaphor: an alarm that hasn’t gone off for a while cannot be trusted to be working. And the modern security stack is so dense with tools that a small change in one tool could have unpredictable downstream effects that may compromise detection and response capabilities. Fig Security, a startup by veterans of Israel’s cyber and data intelligence units 8200 and Mamram, claims to help security teams deal with that by monitoring the security stack to see if their rules, mitigation tools, and detection and response capabilities are functioning or skewed off course by changes. The startup just came out of stealth with $38 million in seed and Series A funding, TechCrunch has exclusively learned. In a nutshell, the startup’s tech traces data flows in the security stack, from the origin at sources through data pipelines and data lakes to security orchestration and automation response platforms, and then alerts security teams when changes at any point affect detection or response capabilities. The platform also allows companies to simulate how new fixes, patches, or changes could affect their system before they’re deployed. “Instead of looking at the data and tracing it forward and seeing where it ends up, we look at your detections because that is the thing that you need to work,” Fig’s CEO and co-founder, Gal Shafir (pictured above, center), explained to TechCrunch. “Detection or response is the single source of truth, and then we back-trace the health and what needs to happen on the data in order for it to trigger the detection when something happens. And...

M5 Pro and M5 Max are built using the new Apple-designed Fusion Architecture and engineered from the ground up for AI. This innovative design combines two dies into a single system on a chip, providing tremendous performance boosts. M5 Pro and M5 Max feature a new up-to-18-core CPU with 6 super cores, the world’s fastest CPU core, 1 and 12 all-new performance cores, optimized for power-efficient, multithreaded pro workloads — altogether delivering up to 30 percent faster performance. 3 M5 Pro is designed for users running complex workflows, like coders optimizing algorithms and photographers processing massive image libraries, while M5 Max is for those pushing the absolute limits, such as engineers running rigorous simulations. "MacBook Pro with M5 Pro and M5 Max redefines what’s possible on a pro laptop, now up to 4x faster than the previous generation," said John Ternus, Apple’s senior vice president of Hardware Engineering. "With Neural Accelerators in the GPU, the new MacBook Pro enables professionals to run advanced LLMs on device and unlock capabilities that no other laptop can do — all while maintaining exceptional battery life. Combined with even faster unified memory and storage, it empowers users to take their work even further, unleashing new possibilities and pushing the boundaries of what they can do." CUPERTINO, Calif., March 03, 2026 --( BUSINESS WIRE )--Apple® today announced the latest 14- and 16-inch MacBook Pro ® with the all-new M5 Pro and M5 Max, bringing game-changing performance and AI capabilities to the world’s best pro laptop. With M5 Pro and M5 Max, MacBook Pro features a new CPU with the world’s fastest CPU core, 1 a next-generation GPU with a Neural Accelerator in each core, and higher unified memory bandwidth, altogether delivering up to 4x AI performance compared to the previous generation, and up to 8x AI performance compared to M1 models. 2 This allows developers, researchers, business professionals, and creatives to unlock new AI-en...

The Gross Law Firm Notifies Oracle Corporation Investors of a Class Action Lawsuit and Upcoming Deadline - ORCL Morningstar

The partnership expands access to AI-powered contract tools for the Canadian Bar Association’s network of approximately 40,000 legal professionals TORONTO, March 03, 2026--(BUSINESS WIRE)--Spellbook, the leading AI solution for commercial lawyers, today announced a two-year partnership with the Canadian Bar Association (CBA), making Spellbook the CBA’s exclusive provider of AI-powered contract drafting and review tools. This strategic partnership will see Spellbook serve the CBA’s network of approximately 40,000 lawyers, judges, notaries, and law students across Canada, offering members preferred access to its AI-powered platform, which works directly inside Microsoft Word, to help lawyers draft, review, and negotiate contracts up to 10x faster with greater precision. "This is a significant milestone for Spellbook and a signal of how quickly AI is becoming part of everyday legal work," said Scott Stevenson, CEO and co-founder of Spellbook. "We’re proud to support CBA members as they navigate AI with the confidence, standards, and judgement the legal profession demands. As a Canadian company, earning the trust of the nation's preeminent bar association is particularly meaningful." During the two-year exclusive partnership, CBA members will receive 20% off annual Spellbook licenses, providing them access to its full suite of contract drafting, review, and redlining tools, including Compare to Market, a newly launched feature that lets lawyers compare key contract terms against real market data from thousands of similar agreements, with breakdowns by industry, jurisdiction, and deal type. "The CBA is committed to helping Canadian lawyers take advantage of the opportunities provided by AI, while maintaining high ethical standards," said Bianca Kratt, K.C., President of the Canadian Bar Association. "In developing this partnership, we’ve placed particular emphasis on security and privacy protections. For example, CBA members who access Spellbook services through the CBA ...

When an OpenAI finance analyst needed to compare revenue across geographies and customer cohorts last year, it took hours of work — hunting through 70,000 datasets, writing SQL queries, verifying table schemas. Today, the same analyst types a plain-English question into Slack and gets a finished chart in minutes. The tool behind that transformation was built by two engineers in three months. Seventy percent of its code was written by AI. And it is now used by thousands of OpenAI's employees every day — making it one of the most aggressive deployments of an AI data agent inside any company, anywhere. In an exclusive interview with VentureBeat, Emma Tang, the head of data infrastructure at OpenAI whose team built the agent, offered a rare look inside the system — how it works, how it fails, and what it signals about the future of enterprise data. The conversation, paired with the company's blog post announcing the tool, paints a picture of a company that turned its own AI on itself and discovered something that every enterprise will soon confront: the bottleneck to smarter organizations isn't better models. It's better data. "The agent is used for any kind of analysis," Tang said. "Almost every team in the company uses it." A plain-English interface to 600 petabytes of corporate data To understand why OpenAI built this system, consider the scale of the problem. The company's data platform spans more than 600 petabytes across 70,000 datasets. Even locating the correct table can consume hours of a data scientist's time. Tang's Data Platform team — which sits under infrastructure and oversees big data systems, streaming, and the data tooling layer — serves a staggering internal user base. "There are 5,000 employees at OpenAI right now," Tang said. "Over 4,000 use data tools that our team provides." The agent, built on GPT-5.2 and accessible wherever employees already work — Slack , a web interface, IDEs , the Codex CLI , and OpenAI's internal ChatGPT app — accepts plain-...

Apple’s $3,299 Studio Display XDR packs 5K mini-LED screen and 120Hz for pros Stock Titan

In this article GS Follow your favorite stocks CREATE FREE ACCOUNT A prolonged surge in natural gas prices triggered by the ongoing war in the Middle East risks denting European growth and hitting some Asian economies hard, analysts have warned . Global gas prices have soared this week amid fears of a lengthy disruption to energy flows through the Strait of Hormuz — a key shipping route running between Oman and Iran that handles about one-fifth of global LNG trade — as the Iran conflict escalates . Dutch Title Transfer Facility (TTF) futures, Europe's benchmark gas contract, rose 35% on Tuesday to more than 60 euros ($69.64) per megawatt-hour. On the week, prices are around 76% higher. The Northeast Asia LNG benchmark, the Japan-Korea-Marker (JKM), which captures deliveries to Japan, Korea, China and Taiwan, reached a one-year high , and was last seen around 43 euros per megawatt-hour. U.K. natural gas was also sharply higher. Qatar, one of the world's largest LNG producers, halted production on Monday following Iranian drone strikes at Ras Laffan Industrial City and Mesaieed Industrial City. Goldman Sachs estimated the pause will reduce near-term global LNG supply by about 19%. A senior Iranian Revolutionary Guard official later said the country had closed the Strait of Hormuz to all ships, and warned that any vessel attempting to pass through the channel would be attacked. The U.S., however, said the route remained open, according to a Fox News report. Supply squeeze Europe and much of Asia are more heavily exposed to potential gas price shocks than the U.S., which benefits from both domestic shale and LNG production. Around 25% of Europe's total gas supply is LNG, according to Chris Wheaton, oil and gas analyst at Stifel. With roughly 20% of global LNG production sitting behind the Strait, a prolonged disruption could trigger a supply squeeze comparable to the 2022 shock following Russia's invasion of Ukraine, he said in a note. "We are much more concerned about ...