Latest news with #SantaClara
Gizmodo
3 hours ago
- Gizmodo
Intel May be Prepping a Massive Apology to Gamers
If the rumors are to be believed, Intel may be gearing up for a major apology to gamers in the form of a suite of gaming-specific CPUs. Intel has suffered through multiple crises, a CEO ouster, sweeping layoffs, and a dour outlook on the future of the once-massive chipmaker. To make its case to consumers, Intel needs goodwill, and who better to get it from than the outspoken gamer crowd? Multiple semi-reliable leakers have come out of the woodwork to talk about Intel's plans to copy what makes AMD's best gaming CPUs so reliable. The CPU could best be described as the PC's brain, as it handles all the major processes for a computer to function. For gaming, a CPU has to calculate the game logic or run physics simulations, while the GPU—or graphics processing unit—handles the complex tasks of rendering a scene. AMD's best gamer-specific CPUs use what the chipmaker calls its '3D V-Cache.' That boils down to a larger section of memory that the CPU can access for quick turnaround of complex gaming tasks. Several posts first noted by Videocardz claim Intel is planning a few chips with a similar cache layout on its next desktop chip series—dubbed Nova Lake. A notable Intel leaker who goes by Raichu on X claimed that some Nova Lake chips could have a special tile called a Big Last-Level Cache, shortened to bLLC. Fellow leaker Haze also made claims earlier this month about the upcoming Intel microarchitecture having bLLC. It's unclear how big this cache would be or whether it will be bigger or smaller compared to AMD's current slate. Either way, it suggests Intel would tip the scales way beyond today's current top-end Intel CPUs for gamers. PC players looking for the latest and greatest gaming CPUs have largely written off Intel over the past few years. First, there was the SNAFU with its 13th- and 14th-gen chips. Several of those chip models experienced major instability issues caused by the chips sending incorrect voltage requests. Intel would later patch that issue and extend warranties for the impacted chips, though the scandal didn't help its status among U.S. chipmakers. The following generation of Intel Core Ultra desktop-level chips—dubbed Arrow Lake—only added insult to injury. The chips were noticeably less capable in gaming tasks than Intel's own 14th-gen CPUs. Intel released a patch in February to help address some of those concerns, but by then, AMD had already launched its most powerful gaming-specific chips. The cream of the crop is still the Ryzen 7 9800X3D with the touted 96MB V-cache. Arrow Lake's performance seemed more geared toward non-gaming tasks, and more particularly, AI. Sure, the market for gaming CPUs is smaller than those looking for business-end processors, but gamers are the most vocal of all Intel's longtime customers. So what's 'Team Blue' to do, other than try to claw back its standing among PC owners? I've personally used several gaming laptops sporting Intel's latest mobile Arrow Lake HX chips, and on the whole, they've seen much better gaming improvements gen-on-gen than the desktop series. The reason Intel's prospects are down in the dumps isn't as much to do with its consumer-end hiccups and more with how it missed out on the AI gravy train. Nvidia has soaked up mountains of money thanks to being ahead of the curve in building AI training chips. AMD has more recently pushed its ultra-expensive Threadripper processors, like the most recent Threadripper Pro 9000 WX series, as another option for AI fine-tuning. Unless you're a chip nerd, these AI processors don't set the imagination on fire. Gamers simply want the best for pushing the most frames from their games. All Intel has to do is show players higher fps in their games, and they may be willing to forgive a few of its past missteps.
Fast Company
5 hours ago
- Business
- Fast Company
Intel's CEO just revealed why more layoffs are coming. His memo shows the grim impact of course correction
In the midst of an ongoing turnaround effort, Intel Corp. reported $12.9 billion in revenue as part of its second-quarter financial results on Thursday, matching year-over-year (YOY). The sum beat Wall Street forecasts, according to consensus estimates cited by CNBC, but it wasn't enough to offset news about higher losses, additional layoffs, and the scaling back of Intel's foundry business. The chip manufacturer saw its stock price (Nasdaq: INTC) briefly rise as the market closed, but shares have since tumbled about 8% in after-hours and premarket trading, as of this writing. What did Intel report? Let's start with the money: Intel reported a $2.9 billion loss (67 cents per share), compared to $1.6 billion (38 cents per share) YOY. At the same time, CEO Lip-Bu Tan announced that Intel intends to lay off around 15% of its workers, leaving it with about 75,000 employees worldwide by the end of 2025. This news follows layoffs of 15% and 20% of Intel's headcount last year and in April, respectively. Intel's foundry business is also getting a shakeup after investing 'too much, too soon—without adequate demand,' Tan stated. He continued, 'In the process, our factory footprint became needlessly fragmented and underutilized. We must correct our course. Going forward, we will follow a systematic approach to growing our factory footprint that's fully aligned with the needs of our customers. We will be judicious and disciplined as we allocate capital—because that's what great foundries do.' Pulling back on projects, or abandoning them altogether A large part of this course correction involves slowing or completely eliminating already planned projects. According to Tan, initiatives in Germany and Poland will no longer occur, while Costa Rica's assembly and test operations will be integrated into Intel's Vietnam and Malaysia sites. In the United States, Intel is 'slowing construction' of planned factories in Ohio 'to ensure our spending is aligned with demand—while maintaining flexibility to accelerate based on new customer wins,' Tan added.
Yahoo
a day ago
- Business
- Yahoo
Interview Kickstart Machine Learning Course 2025 Update - FAANG ML Engineer Course with Projects
Santa Clara, July 24, 2025 (GLOBE NEWSWIRE) -- In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top priority. As FAANG companies like Meta, Amazon, and Google face intense scrutiny over algorithmic bias, demand for ML engineers versed in ethical AI and bias mitigation is skyrocketing. A study published last week highlights that even leading mitigation methods can inadvertently worsen outcomes if subgroups aren't carefully defined, underlining the sophistication necessary for modern practitioners. For more information, visit: Interview Kickstart, a leading tech interview prep platform trusted by FAANG engineers and aspirants alike, offers the Flagship Machine Learning course designed and taught by FAANG+ ML engineers. With a curriculum spanning foundational Python programming, classical machine learning, neural network architectures, applied generative AI, LLMs, System Design, and interview prep, this course equips learners with both theoretical understanding and hands-on skills. Through engaging live classes, mock interviews, personalized feedback, and industry-relevant case studies, IK embeds best-practice bias mitigation techniques at every level, ensuring graduates are ready for the ethical dilemmas faced by top-tier employers. The course curriculum's Machine Learning Fundamentals and Advanced ML modules focus on equipping learners with rigorous strategies to identify and mitigate bias. From pre-processing methods like data augmentation and reweighting to in-processing techniques such as adversarial debiasing and fairness constraints, and post-processing adjustments like equalized odds, students study the complete ecosystem of bias-control methods. Learners also tackle advanced topics like generating synthetic datasets to stress-test models and steer model activations using steering vector ensembles, methods found to safely reduce fairness violations while maintaining predictive performance. Beyond technical mastery, the real-world capstone projects challenge participants to build solutions where bias mitigation is integral from start to finish. One capstone might involve developing a credit scoring model that must balance predictive power with demographic parity, while another could explore bias-aware models in healthcare or speech recognition, reflecting recent findings by the Algorithmic Justice League and initiatives to uncover racial disparities in AI systems. Instructors guide learners through a structured cycle: dataset audit, fairness metric selection (e.g., equalized odds, demographic parity), choice of mitigation approach, evaluation across sensitive attributes, and discussion of trade-offs between accuracy and fairness. This focus on bias-aware ML pipelines translates directly into interview readiness. FAANG interviews often include questions on fairness and ML system design, candidates can expect to be grilled on how they would handle biased training data, design pipelines to track disparate impact metrics, and implement real-time fairness interventions. Interview Kickstart prepares learners with targeted sessions in the Interview Prep phase, covering data structures, algorithms, system design, and ethics-aware machine learning patterns. Learners face mock interviews conducted by FAANG+ ML engineers, who provide in-depth feedback on the candidate's ability to think through fairness when designing systems. Participants in the Interview Kickstart Flagship Machine Learning course also benefit from deep career coaching. Instructors provide guidance on resume presentation, LinkedIn branding, and behavioral interview strategies—all critical for securing interviews and converting offers at elite companies. The six-month structured support period allows learners to retake sessions, schedule up to 15 mock interviews, and engage in one-on-one technical coaching. This ecosystem fosters deep understanding and confidence around fairness topics by ensuring learners revisit difficult concepts until mastery is achieved. The challenge of building fair and unbiased AI systems is not optional—it is a necessity. With bias mitigation rightly positioned at the core of modern ML roles, AI systems that fail to address fairness risk, obsolescence, or remediation costs. Interview Kickstart's Flagship Machine Learning course offers a compelling, end-to-end preparation strategy. Learners gain mastery over algorithms, architectures, practical coding skills, generative AI capabilities, and ethical ML design, all while practicing with FAANG-style interview rigor. For professionals aiming not only to break into FAANG companies but also to shape AI responsibly, Interview Kickstart offers the ideal pathway. The course ensures technical excellence, ethical awareness, and communication skills, the rare combination FAANG recruiters seek. To learn more visit: About Interview Kickstart Founded in 2014, Interview Kickstart is a premier upskilling platform empowering aspiring tech professionals to secure roles at FAANG and top tech companies. With a proven track record and over 20,000 successful learners, the platform stands out with its team of 700+ FAANG instructors, hiring managers, and tech leads, who deliver a comprehensive curriculum, practical insights, and targeted interview prep strategies. Offering live classes, 100,000+ hours of pre-recorded video lessons, and 1:1 sessions, Interview Kickstart ensures flexible, in-depth learning along with personalized guidance for resume building and LinkedIn profile optimization. The holistic support, spanning 6 to 10 months with mock interviews, ongoing mentorship, and industry-aligned projects, equips learners to excel in technical interviews and on the job. ### For more information about Interview Kickstart, contact the company here:Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463aiml@ Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States CONTACT: Burhanuddin PithawalaError in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
a day ago
- Business
- Yahoo
Agilent Technologies' Q3 2025 Earnings: What to Expect
Santa Clara, California-based Agilent Technologies, Inc. (A) is a global leader in providing application-focused solutions to the life sciences, diagnostics, and applied chemical markets. Valued at a market cap of $33.9 billion, the company designs and manufactures a broad portfolio of analytical instruments, software, consumables, and services. It is scheduled to announce its fiscal Q3 earnings for 2025 after the market closes on Wednesday, Aug. 27. Before this event, analysts project this healthcare company to report a profit of $1.37 per share, up 3.8% from $1.32 per share in the year-ago quarter. The company has surpassed Wall Street's bottom-line estimates in each of the last four quarters. Its earnings of $1.31 per share in the previous quarter outpaced the consensus estimates by 4%. More News from Barchart NVDA Broken Wing Butterfly Trade Targets A Profit Zone Between 150 and 160 Is Opendoor Stock a Buy at New 52-Week Highs? Billionaire Peter Thiel is Betting Big on Stablecoins. Should You Buy the "MicroStrategy of Ethereum," Too? Markets move fast. Keep up by reading our FREE midday Barchart Brief newsletter for exclusive charts, analysis, and headlines. For the full year, analysts expect A to report EPS of $5.59, up 5.7% from $5.29 per share in fiscal 2024. Furthermore, its EPS is expected to grow 8.8% year-over-year to $6.08 in fiscal 2026. A has fallen 8.6% over the past 52 weeks, underperforming both the S&P 500 Index's ($SPX) 14.5% return and the Health Care Select Sector SPDR Fund's (XLV) 8.3% loss over the same time frame. Agilent Technologies reported impressive Q2 performance on May 28, and its shares surged 2.2% in the following trading session. Due to growth in its life sciences and diagnostics markets revenue and a rise in CrossLab segment's sales, the company's overall revenue improved 6% year-over-year to $1.7 billion, topping consensus estimates by 2.5%. Moreover, its adjusted EPS of $1.31 advanced 7.4% from the prior-year quarter, exceeding Wall Street expectations by 4%. A's effective Ignite Transformation initiative supported its Q2 results. Looking ahead to fiscal 2025, A expects revenue to range between $6.7 and $6.8 billion, and projects adjusted EPS in the range of $5.54 to $5.61. Wall Street analysts are moderately optimistic about A's stock, with an overall "Moderate Buy" rating. Among 16 analysts covering the stock, eight recommend "Strong Buy," and eight advise 'Hold.' The mean price target for A is $138.57, indicating a 16% premium from the current levels. On the date of publication, Neharika Jain did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on
Yahoo
a day ago
- Sport
- Yahoo
49ers predicted to trade No. 1 WR during training camp
While the 2025 NFL season is still a bit away, the San Francisco 49ers have fully reported for training camp with their first practice set to take place at their SAP Performance Facility on Wednesday in Santa Clara, California. However, the group of players that the 49ers enter camp with won't be the same as the one they will play with in Week 1. There will be more cuts, signings and trades that will change the trajectory of their season over the next few weeks. Interestingly, Pro Football and Sports Network's Jacob Infante recently predicted San Francisco will make a major trade during training camp and send Jauan Jennings elsewhere. "Amidst rumors that Jauan Jennings wants a new contract before his current deal expires in 2026, the San Francisco 49ers find themselves in a tight spot," Infante said. "They have the likes of Brock Purdy, Nick Bosa, Brandon Aiyuk, and Fred Warner on massive long-term deals. They could find themselves fielding trade offers if they aren't willing to pay Jennings what he wants." Jennings, 28, has caught 155 passes for 1,938 yards and 13 touchdowns in his four-year career, including an impressive 77-catch, 975-yard and six-touchdown season in 2024. He's entering the final year of a two-year, $11.89 million extension that he signed last May, so he's looking for more long-term security. San Francisco needs help at wide receiver with Deebo Samuel traded to the Washington Commanders earlier this offseason and Brandon Aiyuk likely missing the start of the 2025 season while recovering from a torn ACL, MCL and meniscus. Moving on from Jennings could really impact the 49ers offense and their chances of making it back to the article originally appeared on Niners Wire: 49ers predicted to trade Jauan Jennings before the 2025 season
