&w=3840&q=100)
Microsoft unveils Surface Laptop 5G with Intel Core Ultra processor: Report
Copilot Plus Surface Laptop for Business
New Delhi
Microsoft has introduced a new 5G-enabled variant of its Surface Laptop, targeted at business users. The Surface Laptop 5G is powered by Intel's Core Ultra Series 2 processors and includes a neural processing unit (NPU) to enable AI acceleration and support for Microsoft's Copilot Plus features.
Reported by The Verge, the device closely resembles the 13.8-inch Surface Laptop 7 but includes several internal updates, including 5G hardware and SIM support for improved mobility.
Surface Laptop 5G: Price and availability
Intel Core Ultra 5, 16GB RAM, 256GB storage
Starting price: $1,799.99
Intel Core Ultra 7, 32GB RAM, 1TB storage
Top-end variant: $2,699.99
Surface Laptop 5G: Details
The Surface Laptop 5G features a custom-built antenna system and design optimised for high-performance connectivity and portability.
Nancie Gaskill, general manager, Surface business, said:
'At the heart of Surface Laptop 5G is a dynamic antenna system that continuously adapts to its environment.'
This six-antenna system adjusts based on how the laptop is being held or used, ensuring optimal connectivity. Unlike traditional laptops where antennas are hidden in the base, this system is integrated with a specially developed multi-layered laminate that allows radio signals to pass through without degrading performance.
The laptop supports both physical nano SIMs and eSIMs, giving users the flexibility to stay connected across networks while on the move. Microsoft has tested the 5G setup with over 100 operators across 50+ countries.
The device can also function as a 5G mobile hotspot, sharing its internet connection with nearby devices over Wi-Fi, making it suitable for travel and remote work.
Microsoft Surface Laptop 5G: Specifications
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Time of India
3 hours ago
- Time of India
AI researchers are negotiating $250 million pay packages, just like NBA stars
Academy Empower your mind, elevate your skills Over the summer, Matt Deitke got a phone call from Mark Zuckerberg Meta 's chief wanted Deitke, a 24-year-old artificial intelligence researcher who had recently helped found a startup, to join Meta's research effort dedicated to "superintelligence," a technology that could hypothetically exceed the human brain. The company promised him around $125 million in stock and cash over four years if he came offer was not enough to lure Deitke, who wanted to stick with his startup, two people with knowledge of the talks said. He turned Zuckerberg Zuckerberg personally met with Deitke. Then Meta returned with a revised offer of around $250 million over four years, with potentially up to $100 million of that to be paid in the first year, the people said. The compensation jump was so startling that Deitke asked his peers what to do. After many discussions, some of them urged him to take the deal -- which he Valley's AI talent wars have become so frenzied -- and so outlandish -- that they increasingly resemble the stratospheric market for NBA AI researchers are being recruited as if they are Steph Curry or LeBron James, with nine-figure compensation packages structured to be paid out over several years. To navigate the froth, many of the 20-somethings have turned to unofficial agents and entourages to strategize. And they are playing hardball with the companies to get top dollar, much as basketball players shop for the best deals from difference is that unlike NBA teams, deep-pocketed AI companies like Meta, OpenAI and Google have no salary caps. (Curry's most recent four-year contract with the Golden State Warriors was $35 million less than Deitke's deal with Meta.) That has made the battles for AI talent even the past few weeks, recruiting AI free agents has become a spectacle on social media, much like the period before a trade deadline in sports. As Meta, Microsoft, Google and OpenAI have poached employees from one another, job announcements have been posted online with graphics resembling major sports trades, made by the online streaming outlet TBPN , which hosts an ESPN-like show about the tech and business world."BREAKING: Microsoft has poached over 20 staff members from DeepMind over the last six months," read one recent TBPN post about Microsoft's hiring from Google's DeepMind Hays, a co-host of TBPN, said that as tech and AI have gone mainstream, more people are following the recruitment fray "the way our friends from college obsess over sports -- the personalities, the players, the leagues."On Wednesday, Zuckerberg said Meta planned to continue throwing money at AI talent "because we have conviction that superintelligence is going to improve every aspect of what we do." Superintelligent AI would not just improve the company's business, he said, but would also become a personal tool that "has the potential to begin an exciting new era of individual empowerment."A Meta spokesperson declined to comment. Deitke did not respond to a request for job market for AI researchers has long had parallels to professional sports. In 2012, after three academics at the University at Toronto published a research paper describing a seminal AI system that could recognize objects like flowers and cars, they auctioned themselves off to the highest corporate bidder -- Google -- for $44 kicked off a race for talent across the tech industry. By 2014, Peter Lee, Microsoft's head of research, was likening the market to that for up-and-coming pro football players, many of whom were making about $1 million a year."Last year, the cost of a top, world-class deep learning expert was about the same as a top NFL quarterback prospect," Lee told Bloomberg BusinessWeek at the time, referring to a type of AI specialist. "The cost of that talent is pretty remarkable."The leverage that AI researchers have in negotiating job terms has only increased since OpenAI released the ChatGPT chatbot in 2022, setting off a race to lead the technology. They have been aided by scarcity: Only a small pool of people have the technical know-how and experience to work on advanced artificial intelligence because AI is built differently from traditional software. These systems learn by analyzing enormous amounts of digital data. Few researchers have experience with the most advanced systems, which require giant pools of computing power available to only a handful of result has been a fresh talent war, with compensation soaring into the hundreds of millions of dollars a year, from millions of dollars a April, Zuckerberg -- whose company was struggling to advance its AI research -- dived in by sending personal messages to potential recruits, offering them larger and larger approach was similar to that of sports franchise owners, two Meta employees said. Even if the offers seemed absurd, if the new hires could help increase revenue by even half a percent -- especially for a company that is closing in on a $2 trillion market capitalization -- it would be worth it, the people said."If I'm Zuck and I'm spending $80 billion in one year on capital expenditures alone, is it worth kicking in another $5 billion or more to acquire a truly world-class team to bring the company to the next level?" Hays said. "The answer is obviously yes."Meta's initial offers to engineers varied but hovered in the mid-tens of millions of dollars, three people familiar with the process company also offered recruits something that was arguably more attractive than money: computing power. Some potential hires were told they would be allotted 30,000 graphical processing units, or GPUs, for their AI research, one of the people said. GPUs, which are powerful chips ideal for running the calculations that fuel AI, are highly has hired with the help of the List, a document with the names of the top minds in AI, two people familiar with the effort said. Many on the List have three main qualifications: a doctorate in an AI-related field, experience at a top lab and contributions to AI research breakthroughs, one of the people Wall Street Journal previously reported some details of the researchers on the List have created chat groups on Slack and Discord to discuss offers, two people in the groups said. When someone lands an offer, they can drop the details in the group chats and ask peers to weigh in. (AI is a tight-knit field where people often know one another.) They trade information about which companies to approach for another offer so they can build up their price, the people with friends can be just as important as the money. After a researcher joins a new lab, the first thing that person often does is try to recruit friends, two people familiar with the process talent wars have started causing pain. OpenAI has changed its compensation structure to account for the shift in the market, employees at the company said, and is asking those approached by competitors to consult executives before immediately accepting offers."Are we countering? Yes," Mark Chen, OpenAI's chief research officer, said at a company meeting this month, according to a recording reviewed by The New York Times. But he added that OpenAI had not matched Meta's offers because "I personally think that in order to work here, you have to believe in the upside of OpenAI."OpenAI declined to comment. (The Times has sued OpenAI and Microsoft, claiming copyright infringement in relation to news content related to AI systems. The two companies have denied the claims.)Not all of Meta's overtures have succeeded. The company has been rebuffed by some researchers, two people said, partly because Zuckerberg's vision for artificial intelligence was unclear compared to those at other the frenzy has allowed even little-known researchers like Deitke to chart their own who recently dropped out of a computer science Ph.D. program at the University of Washington , had moonlighted at a Seattle AI lab called the Allen Institute for Artificial Intelligence. There, he led the development of a project called Molmo, an AI chatbot that juggles images, sounds and text -- the kind of system that Meta is trying to November, Deitke and several Allen Institute colleagues founded Vercept, a startup that is trying to build AI agents, which can use other software on the internet to autonomously perform tasks. With about 10 employees, Vercept has raised $16.5 million from investors such as former Google chief executive Eric came Deitke's back-and-forth with Zuckerberg. After Deitke accepted Meta's roughly $250 million four-year offer, Vercept's CEO posted on social media, "We look forward to joining Matt on his private island next year."
Time of India
7 hours ago
- Time of India
Microsoft breaks from 30-year tradition of naming rivals in filings
Tech giant Microsoft has ceased naming its competitors in its annual report in a notable shift away from a common corporate disclosure strategy it had followed for 30 years. The company's 2024 annual filing, released earlier this week, does not mention longtime rivals such as Apple and IBM, nor does it cite emerging AI players like Anthropic or Databricks as its 2023 annual report, Microsoft listed more than 25 companies as direct competitors. The company has consistently identified its adversaries in public filings since at least 1994. The same goes for other players in the space, like Apple, Facebook parent Meta and Nvidia, who name their rivals in Windows and CoPilot maker now describes its competitive landscape with references only to categories like productivity software, PC operating systems, and cloud change was intended to reflect the 'fast-moving nature' of today's technology markets, CNBC reported, citing a company spokesperson, with a focus on broader market dynamics rather than individual the omission in official filings, Microsoft executives continue to acknowledge competitors in other forums. CEO Satya Nadella referenced Amazon during the company's recent earnings call. Scott Guthrie, executive vice president of Microsoft's Cloud and AI group, pointedly noted at a May conference that 'some cloud providers, like AWS, still haven't launched a GB200 offering.' The comment referred to Nvidia's GB200 NVL72 systems, which integrate 72 high-powered graphics processing Microsoft is stepping back from naming names, it's not alone in doing so. Amazon hasn't listed competitors in its reports since 1999. Tesla last did so in 2020, and Google's parent company, Alphabet, halted the practice after recently reported a strong June quarter , posting a 24% jump in net income at $27.2 billion, primarily driven by growth in AI and cloud technology. The stronger-than-expected earnings and bullish guidance propelled Microsoft's share, with market capitalisation briefly crossing the $4-trillion mark , making it the second company after Nvidia to achieve the milestone.
Economic Times
7 hours ago
- Economic Times
Microsoft breaks from 30-year tradition of naming rivals in filings
Tech giant Microsoft has ceased naming its competitors in its annual report in a notable shift away from a common corporate disclosure strategy it had followed for 30 years. The company's 2024 annual filing, released earlier this week, does not mention longtime rivals such as Apple and IBM, nor does it cite emerging AI players like Anthropic or Databricks as its 2023 annual report, Microsoft listed more than 25 companies as direct competitors. The company has consistently identified its adversaries in public filings since at least 1994. The same goes for other players in the space, like Apple, Facebook parent Meta and Nvidia, who name their rivals in filings. The Windows and CoPilot maker now describes its competitive landscape with references only to categories like productivity software, PC operating systems, and cloud infrastructure. The change was intended to reflect the 'fast-moving nature' of today's technology markets, CNBC reported, citing a company spokesperson, with a focus on broader market dynamics rather than individual players. Despite the omission in official filings, Microsoft executives continue to acknowledge competitors in other forums. CEO Satya Nadella referenced Amazon during the company's recent earnings call. Scott Guthrie, executive vice president of Microsoft's Cloud and AI group, pointedly noted at a May conference that 'some cloud providers, like AWS, still haven't launched a GB200 offering.' The comment referred to Nvidia's GB200 NVL72 systems, which integrate 72 high-powered graphics processing units. While Microsoft is stepping back from naming names, it's not alone in doing so. Amazon hasn't listed competitors in its reports since 1999. Tesla last did so in 2020, and Google's parent company, Alphabet, halted the practice after 2022. Microsoft recently reported a strong June quarter, posting a 24% jump in net income at $27.2 billion, primarily driven by growth in AI and cloud technology. The stronger-than-expected earnings and bullish guidance propelled Microsoft's share, with market capitalisation briefly crossing the $4-trillion mark, making it the second company after Nvidia to achieve the milestone. Also Read: Microsoft layoffs: Job cuts weigh heavily on me, says CEO Satya Nadella
