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Chromebooks versus Windows laptops: Which should you buy?


Should I buy a Chromebook or a Windows laptop? It's a common question, whether asked by parents weighing the best computer option for back-to-school or by people who just want an inexpensive computer for themselves. We'll help you choose the right one. Our latest update includes more answers to questions you might have: such as, how slow (and inexpensive) can a Chromebook be before it stops being usable? What does Windows 11 and Windows 11 SE mean for laptops? Read on for the answers, plus our up-to-date buying guide for November 2021 and Black Friday, plus more details and what to buy. A notebook PC or laptop powered by Microsoft Windows offers several advantages. Windows offers the most flexibility to run just about any app, your choice of any browser, and configure antivirus options, utilities, and more. You can tweak and configure your PC as you choose. That convenience demands more computing horsepower, and often a higher price compared to most Chromebooks. Prices can soar into the thousands of dollars, and if you need a powerful PC for gaming or video editing, Chromebooks can't compete, and they don't try to. But you'll find some great deals among our more affordably priced, top Windows picks. See our buying guide to the best laptops for even more options.

Walmart is battling Amazon for the best deals this Prime Day -- here they are


Here are the best sales to shop during Walmart's Deals for Days event as of June 22: BEST LAPTOP DEAL: Samsung Chromebook 4 -- $159 (save $70.99) BEST APPLE DEAL: Apple 12.9-inch iPad Pro (WiFi, 128GB) -- $999 (save $100) BEST HEADPHONE DEAL: Beats Solo Pro Wireless Noise-Canceling Headphones -- starting at $139.90 (save up to $160.05) BEST ROBOT VACUUM DEAL: Anker eufy RoboVac G30 Verge -- $169 (save $180.99) Oh, you thought Walmart was just going to sit there and twiddle its thumbs while one of its biggest rivals ran a massive two-day sale with over two million deals? As Amazon runs its sixth annual Prime Day event on June 21 and 22, the big box store is throwing its own "Deals for Days" shopping extravaganza this week, with "Black Friday-like savings" up for grabs online and in stores now through Wednesday, June 23.

Walmart is giving Amazon a run for its money ahead of Prime Day


BEST ROBOT VACUUM DEAL: Anker eufy RoboVac 35C WiFi Connected Robot Vacuum -- save $150.99 BEST TV DEAL: Sceptre 55-inch Class TV (2160p) Android Smart 4K LED TV with Google Assistant (A558CV-U) -- save $294.99 BEST TABLET DEAL: Samsung Galaxy Tab S7 (128GB) -- save $80.99 With more than two million deals planned for this year's two-day shopping extravaganza -- that's the most deals ever offered in its six-year history -- Amazon Prime Day is officially too big for other stores to ignore. The big box store will kick off its annual Deals for Days event on Sunday, June 20, with four whole days of special offers coinciding with Prime Day planned for its online *and* in-store shoppers.

Apple iMac review: Apple's new colorful computers are here with Magic Keyboard, M1 chip and more

USATODAY - Tech Top Stories

Those colorful new iMacs are officially available. Some dismissed Apple's pastel color options and others didn't like the "chin," the horizontal area below the display where the Apple icon usually resides. But few have questioned the new iMacs' functionality. Each comes equipped with the new Apple-designed M1 chip, versions of which already power some MacBooks, and is similar to chips in some of the latest iPhones. This new chip, Apple boasts, makes these new iMacs perform up to twice as fast as previous 21.5-inch

A strong Intel is what the tech industry needs right now


Yesterday, while watching Intel's new CEO lay out his plan for the company's future, I started thinking back on the last 15 years of tech. In 2005 I owned a smartphone powered by an Intel processor. The HTC Magician was, like every smartphone in 2005, not great, but it was fully functional, well-received and powered by an XScale ARM chip. A year after I bought the Magician, Intel sold its XScale business for $600 million, believing it would have an ultra-efficient (0.5W!) x86 CPU capable of running Windows Vista by 2010. ARM-based chips were sold inside phones, laptops, games consoles and thousands of IoT devices.

[D] I have a Jetson Nano and my friend gave me their eGPU with an NVIDIA 750 TI. Is there a way I can Frankenstein them?


It might be possible but super rough if so. M.2 key e PCIe riser cables exist, ARM nvidia drivers exist for that GPU. Your eGPU likely has a thunderbolt or usb-c port so you'd need a card for that... which may not work with the x1 PCIe connection you get (if you're using the standard board IIRC). You could pull the 750 ti out and use a separate power supply for it. I feel like it could work but I wouldn't necessarily trust my judgement on this.

Nvidia leaps forward into AI and Supercomputing


Most of you are probably familiar with the chip giants like Intel & AMD which command a bigger share of the computing processor market, but this entrant to the chip market in 1993 has solidified its reputation as a big name in the arena. Although most well-known for its graphical processing units (GPUs) -- GeForce is its primary & most popular product line, the company also provides system-on-a-chip units (SoCs) for the mobile computing and automotive market. Since 2014, Nvidia has begun to diversify its business from the niche markets of gaming, automotive electronics, and mobile devices. It is now venturing into the futuristic AI, along with providing parallel processing capabilities to researchers and scientists that allow them to efficiently run high-performance applications. Let's review of some these endeavors.

Nvidia will buy Arm for up to $40 billion, combining smartphone, GPU powerhouses


Nvidia agreed to purchase Arm for up to $40 billion in cash and stock, the companies said Sunday night. This mammoth deal in the chip industry is expected to bolster AI and GPU powerhouse Nvidia's chip portfolio, even as it's sure to attract antitrust attention in the smartphone market. Nvidia will pay Softbank, the company's current owner, a total of $21.5 billion in Nvidia stock and $12 billion in cash, including $2 billion payable at signing. Nvidia will also issue $1.5 billion in equity to Arm employees. It may also pay Softbank up to $5 billion in cash or stock if Arm meets specific financial performance targets--bringing the final purchase price up to $40 billion -- the largest chip deal ever.

Apple Just Upgraded Its iMacs, a Little


Apple is refreshing its 27-inch iMac, though you'll need a keen eye to spot the differences. The new model doesn't look any different from its predecessors, sporting the same classic look Apple has used for several years now with thick bezels surrounding the 5K display. You won't find any radically new features here either. There's still no biometric authentication, meaning there's no Face ID or Touch ID, and the screen uses the exact same panel and pixel resolution as before. Most of the changes are on the inside, and impact performance.

Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network Machine Learning

With the popularity and development of the wearable devices such as smartphones, human activity recognition (HAR) based on sensors has become as a key research area in human computer interaction and ubiquitous computing. The emergence of deep learning leads to a recent shift in the research of HAR, which requires massive strictly labeled data. In comparison with video data, activity data recorded from an accelerometer or gyroscope is often more difficult to interpret and segment. Recently, several attention mechanisms are proposed to handle the weakly labeled human activity data, which do not require accurate data annotation. However, these attention-based models can only handle the weakly labeled dataset whose segment includes one labeled activity, as a result it limits efficiency and practicality. In the paper, we proposed a recurrent attention network to handle sequential activity recognition and location tasks. The model can repeatedly perform steps of attention on multiple activities of one segment and each step is corresponding to the current focused activity according to its previous observations. The effectiveness of the recurrent attention model is validated by comparing with a baseline CNN, on the UniMiB-SHAR dataset and a collected sequential weakly labeled multi-activity dataset. The experiment results show that our recurrent attention model not only can perform single activity recognition tasks, but also can recognize and locate sequential weakly labeled multi-activity data. Besides, the recurrent attention can greatly facilitate the process of sensor data accumulation by automatically segmenting the regions of interest.