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Poco has been doing well when it comes to smartphones, so naturally, it wanted to try out a new segment. Enter the Poco Pad 5G. It's the first tablet from the Chinese brand, and at first glance, it appears to be a good deal. It offers a large 12.1-inch LCD display, a 10,000mAh battery, and a Snapdragon 7s Gen 2 SoC. The tablet also offers cellular connectivity and a premium design. However, it looks awfully similar to the Redmi Pad Pro 5G. And when you look at the specifications, it's hard to ignore the fact that the Poco Pad and Redmi tablet are pretty much the same tablet. Poco has priced the Pad 5G at Rs. 23,999 for the base option, which is Rs. 1,000 lower than the Redmi Pad Pro 5G. Is this then a better buy than the Redmi tablet? Read on to find out. Poco Pad 5G Design: Looks good, but a fingerprint magnet Dimensions - 280mm x 181.85mm x 7.52mm Weight - 568g Colours - Cobalt Blue and Pistachio Green The Poco Pad 5G has an all-metal unibody construction that feels durable and premium. It has a matte finish rear panel with a two-tone design, which loves fingerprints. You may want to carry a microfibre cloth with you everywhere. The rear panel has the Poco branding and two circular modules housing a camera and an LED flash. The tablet, although large, is portable thanks to its weight and slim profile. It has rounded corners, flat sides, and tapered edges on the front glass. The right frame of the tablet houses two microphones, the SIM card tray (supports dual 5G SIMs or a SIM and a microSD card), and the volume rocker key. You get dual speakers on the top edge along with the power/wake button, and the bottom houses another two speakers, a USB Type-C port, and a 3.5mm headphone jack. The left frame is bare. Overall, it's a well-built tablet. Poco Pad 5G Display and Sound: Great for watching content Size - 12.1-inch 2.5K resolution LCD Refresh rate - 120Hz Audio - Quad stereo speakers Flipping the tablet over reveals the large 12.1-inch LCD display surrounded by uniform and rather thick bezels. The panel is protected by Corning's Gorilla Glass 3 and offers a 16:10 aspect ratio with 2.5K (2560 x 1600 pixels) resolution. It also supports up to 120Hz adaptive refresh rate and lets you choose between 60, 90, or 120Hz. There are three colour profiles available onboard, including Vivid, Saturated, and Standard. It's best to leave it at Vivid, as you get good colours with decent blacks. The display supports Dolby Vision and offers a peak brightness of up to 600 nits. However, using it outdoors is not fun as the screen doesn't get bright enough. Indoors, the panel gets plenty bright. Coming to the sound, the Poco Pad has a quad-speaker setup with support for Dolby Atmos. You also get Hi-Res Audio support via the 3.5mm headphone jack. The audio is quite good on the tablet, and there is nice stereo separation. It does get loud, but there's not enough bass at max volume. Listening to music isn't a great experience, but watching movies and shows is. Poco Pad 5G Software: Not a lot of bloat OS - Android 14 Skin - HyperOS Poco has included HyperOS on the tablet, and it's based on Android 14. There's also very little bloatware or pre-installed apps, which is nice. You get a Mi Canvas app that can be used to sketch using the Poco Pen. However, I did not receive the pen or tablet, so I cannot comment on its performance and usage. Apart from the Mi Canvas app, you also get several HyperOS features such as Xiaomi HomeScreen+, Shared Clipboard, and cross-device Notes app sync with the Camera app, which allows you to take a photo on a connected phone and insert the picture directly onto the Notes app. The HomeScreen+ feature lets you connect a phone using a Xiaomi account to receive smartphone notifications on the tablet. Meanwhile, the shared clipboard lets you easily copy and paste images and text between devices. Multi-tasking is also available on the tablet, obviously, and it works as expected. You can have up to two apps running simultaneously on the screen, but you can also add two floating apps, bringing the total to four. Poco has promised two years of Android OS updates and three years of security patches on the tablet, which is nice. Poco Pad 5G Performance: Could've been better Chipset - Snapdragon 7s Gen 2 RAM - 8GB (LPDDR4X) Storage - Up to 256GB (UFS 2.2) inbuilt, expandable Poco has equipped its first tablet with the Snapdragon 7s Gen 2 SoC, which performs well. The UI experience is mostly smooth when navigating around, but I did notice lag when multitasking, scrolling through the Settings app, and launching certain apps such as the Camera. As you can see, the Poco Pad performed similarly to the Redmi Pad Pro, which shouldn't be surprising since both are essentially the same tablet. I did not typically face heating issues when using the tablet, and even when playing games such as BGMI, the tablet only got slightly warm around the camera. I could play BGMI in ultra-high graphics settings, and it ran smoothly without any lag. However, playing the game on a big tablet like the Poco Pad isn't super comfortable. Since the tablet also supports 5G connectivity, I tested 5G speeds using Speedtest, and the Poco Pad delivered download speeds of around 474 Mbps and uploads of 63 Mbps. Video calls worked well on Airtel's 5G network. Poco Pad 5G Cameras: Decent Rear - 8-megapixel with LED flash Front - 8-megapixel The only camera that should matter on a tablet is the front-facing one, and the 8-megapixel sensor on the Poco Pad isn't that great. It works fine in daylight conditions, and you can make video calls, but I wouldn't recommend using the tablet to take selfies as photos lack details. It's the same with the rear camera, where photos are usable in daylight conditions, but there's plenty of noise and loss of detail when there isn't enough light. Poco Pad 5G Battery: Enough to binge a limited series on Netflix Capacity - 10,000mAh Fast charging - 33W Battery life on the Poco Pad was a mixed experience for me. I expected the 10,000mAh battery to last just as long as the Redmi Pad Pro in our HD video loop test. However, the Poco tablet only lasted about 11 hours and 50 minutes, whereas the Redmi Pad Pro survived for 28 hours and 30 minutes. The result was also surprising because with regular usage that involved several hours of YouTube streaming, half an hour of gaming, watching Netflix, and browsing the web, the tablet went about two days without needing a charge. Talking about charging, the Poco Pad supports 33W fast charging and the charger is provided in the box. Using the adapter, it takes about 2 hours to fully charge the massive 10,000mAh cell. Poco Pad 5G Verdict: Alright, so should you buy the Poco Pad 5G tablet? Well, in short, yes, because it is a pretty good mid-range tablet. It's got a good high-resolution display with good indoor brightness, it's well built, the performance is not bad, the battery life is pretty good, and you can even play games on the tablet if you like. It offers good value for money. One of its main competitors is the Redmi Pad Pro 5G (Review), but it's priced slightly higher while not offering anything different. The Poco Pad is a better deal here. Then you have the Xiaomi Pad 6 (Review), which is cheaper and offers better performance and cameras but has a smaller display and battery. https://www.gadgets360.com/tablets/reviews/poco-pad-5g-review-6427806#pfrom=indepth

Starting today all Claude.ai users – whether you pay for the service or enjoy it for free – can create and view Artifacts across the website, as well as Android and iOS apps, and it’s an upgrade ChatGPT is sorely lacking. To catch you up to speed on this AI bot, Claude is a ChatGPT rival from Anthropic with similar features – such as being able to be prompted by text, files, and images, or a combination of the three. However, beyond privacy it doesn’t have much that truly sets it apart from the big-name AI – which is perhaps why Claude on iOS saw 157,000 total global downloads in its first week compared with ChatGPT’s 480,000 downloads in its first five days (via TechCrunch). This is where Artifacts could lend a hand in helping Claude finally stand out. As explained by Anthropic in a blog post Artifacts turn conversations with its AI into a more ‘collaborative experience.’ With Artifacts turned on Claude will open a separate window that shows you the project it’s helping to create next to your prompts allowing you to see in real-time what your tweaks and edits look like without needing a third-party tool. To turn on Artifacts, simply navigate to your Claude.AI Profile Settings by clicking on your initials in the lower left corner of the screen, then tap Settings, and then toggle on (or off) the 'Enable Artifacts' option. When you're next using Claude it can start to generate Artifacts though there are some restrictions – such as the content needing to be "significant and self-contained" which Anthropic says is typically "over 15 lines of content." You can check out a more in-depth look at Anthropic's other Artifacts rules on the official FAQ. Examples shown off in the Artifacts announcement video (shown above) include seeing a draft version of a website, or digital games like a virtual Rubik’s Cube. If you see any features you’d like to tweak you can alter your prompts and see how they affect what you’re working on in real time. That’s not offered by ChatGPT, and makes the process of iterating an idea with an AI (especially on mobile) a much more straightforward task. With the rollout of Artifacts users on the Free and Pro plans can also choose to publish their Artifacts, which other users can subsequently remix – altering what others have made to suit their own ideas. Team plan users can share Artifacts too, but only with their teammates. This kind of collaborative AI design process is also something we’ve not really seen before, and we’re excited to see if Artifacts live up to Anthropic’s hype. Nevertheless, coupled with its emphasis on privacy, Claude is shaping up to be a proper ChatGPT rival rather than a mere clone. We’ll have to watch this space but if you’ve been having issues with OpenAI’s bot and want to try something new, Claude could be the bot you need. https://www.techradar.com/computing/artificial-intelligence/claude-ai-got-a-major-chatgpt-beating-upgrade-heres-how-to-use-artifacts

Nvidia has published the first MLPerf 4.1 results of its Blackwell B200 processor. The results reveal that a Blackwell GPU offers up to four times the performance of its H100 predecessor based on the Hopper architecture, highlighting Nvidia's position as the leader in AI hardware. There are some caveats and disclaimers that we need to point out, however. Based on Nvidia's results, a Blackwell-based B200 GPU delivers 10,755 tokens/second on a single GPU in a server inference test and 11,264 tokens/second in an offline reference test. A quick look at the publicly available MLPerf Llama 2 70B benchmark results reveals that a 4-way Hopper H100-based machine delivers similar results, lending credence to Nvidia's claim that a single Blackwell processor is about 3.7X– 4X faster than a single Hopper H100 GPU. But we need to dissect the numbers to better understand them. First, Nvidia's Blackwell processor used FP4 precision as its fifth generation Tensor Cores support that format, whereas Hopper-based H100 only supports and uses FP8. These differing formats are allowed by MLPerf guidelines, but FP4 performance in Blackwell doubles its FP8 throughput, so that's the first important item of note. Next, Nvidia is somewhat disingenuous in using a single B200 versus four H100 GPUs. Scaling is never perfect, so a single-GPU tends to be something of a best-case scenario for per-GPU performance. There are no single-GPU H100 results listed for MLPerf 4.1, and only a single B200 result, so it becomes even more apples and oranges. A single H200 achieved 4,488 tokens/s, however, which means B200 is only 2.5X faster for that particular comparison. Memory capacity and bandwidth are also critical factors, and there are big generational differences. The tested B200 GPU carries 180GB of HBM3E memory, H100 SXM has 80GB of HBM (up to 96GB in some configurations), and H200 has 96GB of HBM3 and up to 144GB of HBM3E. One result for single H200 with 96GB HBM3 only achieves 3,114 tokens/s in offline mode. So, there are potential differences in number format, GPU count, and memory capacity and configuration that play into the "up to 4X" figure. Many of those differences are simply due to Blackwell B200 being a new chip with a newer architecture, and all of these things play into its ultimate performance. Getting back to Nvidia's H200 with 141GB of HBM3E memory, it also performed exceptionally well not only in the generative AI benchmark featuring the Llama 2 70B large language model, but also in every single test within the datacenter category. For obvious reasons, it got significantly faster than H100 in tests that take advantage of GPU memory capacity. For now, Nvidia has only shared performance of its B200 in the MLPerf 4.1 generative AI benchmark on Llama 2 70B model. Whether that's because it's still working on tuning or other factors we can't say, but MLPerf 4.1 has nine core disciplines and for now we can only guess how the Blackwell B200 will handle the other tests. https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-publishes-first-blackwell-b200-mlperf-results-up-to-4x-faster-than-its-h100-predecessor-when-using-fp4

Name of the game: The Callisto Protocol Price: $59.99 - FREE Link Store: https://store.epicgames.com/en-US/p/the-callisto-protocol Offer ends up after X hours: Sale ends 8/29/2024 at 4:00 PM Requirements: