The bird's-eye-view (BEV) perception plays a critical role in autonomous driving

A long time ago in a consumer market not so far away, 700 could get you a top-of-the-line graphics card. Today, 750 (or more) only gets you Nvidia's bronze medal card, the RTX 5070 Ti. But how does it compare to the GTX 1080 Ti, which launched at 700 in 2017 and is widely considered the greatest graphics card of all time? Adam and Will decided to find out in the latest PCWorld video on YouTube. Eight years is an eternity in the graphics card space, so even though the 1080 Ti was the big daddy of its time, conventional wisdom says that it should pale in comparison to the 5070 Ti four generations later.

One day, when historians look back at graphics cards that changed the course of gaming, Nvidia's GeForce RTX 20-series could very well claim a top spot. But what does that mean for gamers who invested in the cutting-edge GPUs on day one? With Nvidia teasing the GeForce RTX 3090's radical redesign ahead of a September 1 reveal of its next-gen graphics cards, we reflect on the last two years of ray-traced games, DLSS evolutions, and price drops to find the answer. While there have been some standout wins among Nvidia's RTX technologies, there have been some considerable hiccups as well, and far fewer games than Nvidia had led us to expect. Minecraft RTX sure is a glorious feast for the eyes, though.

I don't believe when someone says, "Money can't buy time", do you? Investing some money in buying a GPU saves a lot of time . Now do you still believe that money can't buy time. GPU stands for graphics processing unit. You'll also see GPUs commonly referred to as graphics cards or video cards.

Many DNN-enabled vision applications constantly operate under severe energy constraints such as unmanned aerial vehicles, Augmented Reality headsets, and smartphones. Designing DNNs that can meet a stringent energy budget is becoming increasingly important. This paper proposes ECC, a framework that compresses DNNs to meet a given energy constraint while minimizing accuracy loss. The key idea of ECC is to model the DNN energy consumption via a novel bilinear regression function. The energy estimate model allows us to formulate DNN compression as a constrained optimization that minimizes the DNN loss function over the energy constraint. The optimization problem, however, has nontrivial constraints. Therefore, existing deep learning solvers do not apply directly. We propose an optimization algorithm that combines the essence of the Alternating Direction Method of Multipliers (ADMM) framework with gradient-based learning algorithms. The algorithm decomposes the original constrained optimization into several subproblems that are solved iteratively and efficiently. ECC is also portable across different hardware platforms without requiring hardware knowledge. Experiments show that ECC achieves higher accuracy under the same or lower energy budget compared to state-of-the-art resource-constrained DNN compression techniques.

It's a great time to upgrade if you're looking to score a new graphics card for cheap. With Nvidia's high-end GeForce RTX 2070 and GeForce RTX 2080 and 2080 Ti now available, we're starting to see some seriously enticing discounts on graphics cards for lower budgets too--a merciful situation after a year of cryptocurrency-induced price inflation. If you're looking to level up to no-compromises 1080p gaming or push a 1440p monitor screaming past 60fps, we've found deals worth checking out. The most enticing deals come in around the $200 price range, where you'll find graphics cards that deliver superb 1080p gaming experiences. First up: The PowerColor Red Dragon Radeon RX 570, which is on sale for just $160 at NeweggRemove non-product link. This card should deliver a strong 60 frames per second with all or most in-game graphics settings cranked, though as always, that varies game by game.

EVGA's custom GeForce RTX 2070 XC graphics card is cooler, more customizable, and just as fast as Nvidia's RTX 2070 Founders Edition. It's packing dedicated hardware for real-time ray tracing and AI-enhanced graphics. That shouldn't be a big deal. Nvidia's Founders Edition cards were designed to be premium priced halo(ish) models, right? But when the GeForce RTX 2080 and 2080 Ti released last month, third-party board makers like EVGA, Asus, and MSI treated the premium pricing of the Founders Edition models as the cost floor rather than a cost ceiling.

Nvidia's GeForce RTX 2070 is a graphics card built for the future, just like the GeForce RTX 2080 and 2080 Ti. And just like its siblings, the RTX 2070's futuristic hardware comes at a stiff price premium. At a $500 starting price and $600 for the Nvidia Founders Edition being reviewed here, the inclusion of dedicated RTX hardware bumps the price of Nvidia's traditionally midrange xx70 GPUs up by well over $100, planting it in the range of the existing GTX 1080. But unlike with the RTX 2080, Nvidia isn't asking you to invest solely in as-yet-unfulfilled promises for the future. The GeForce RTX 2070 delivers an appreciable bump over the GTX 1080's performance in today's games, too. You can still find the older graphics card on sale all over the place, though, and often at a discount.

The initial focus on NVIDIA's recently launched GeForce RTX 2080 Ti and GeForce RTX 2080 graphics cards has been on how well they perform in games, especially when cranking up the resolution to 4K (3840x2160). That will continue to be a point of interest, though it's not the only one. A fresh set of benchmarks making the rounds highlight how the new cards perform in deep learning workloads. Before we get to the numbers, let's talk about why this matters. As you might already know, the GeForce RTX series pushes consumer graphics cards into new territory.