标签：#pc

The Steam Deck is a solid gaming handheld, but after the arrival of several competitors and higher prices, is it still worth picking one up?

It's a concept device, sure, but there's something intriguing about Acer's handheld gaming PC and laptop 2-in-1.

Gaming laptop deals aren’t what they used to be (stares daggers at RAMageddon), which is why I consider Woot’s deal on a refurbished Alienware 16 Aurora gaming laptop with Nvidia’s RTX 5050 a pretty good deal at $927 for new Woot customers (with code WOOTALIEN used at checkout). It costs $1,029 for returning Woot shoppers, […]

Officially, Nvidia's controversial DLSS 5 AI rendering was supposed to launch this evening with only a single game, only on Nvidia's latest RTX 50 GPUs, and with developers in full control of their artistic vision. But unofficially, modders have already ported a leaked version of DLSS 5 to run on just about anything while cranking […]

Nexus Mods said the community-led SteamDB site will operate as it always has, while becoming stronger and better resourced.

Jio is betting it can turn an aging computer into an AI-ready PC for as little as about $11 for two months.

It's hard to be confident about Star Wars Zero Company's future after the studio that made it furloughed most of its staff.

OpenAI recently published an engineering account of GPT-Live. It described how they designed the system to maintain continuous voice interaction while separating latency-sensitive media processing from broader application work. The live path contains the media pipeline and inference loop, while delegation, tool use, persistence, and other application logic run behind an asynchronous RPC boundary. By Eran Stiller

5K is even sharper than 4K UHD, but it's for a specific audience. As a gamer, you won't be able to get as much use out of it as you might think.

A look into whether Dolby Atmos for Headphones - with its free trial on both PC and Xbox - can unlock spatial audio on a normal pair of stereo headphones.

In the age‑old debate over whether a TV can truly replace a computer monitor, several important differences in design and performance set the two apart.

Nvidia knows that DLSS 5 left a bad first impression. In March, many gamers took one look at Resident Evil Requiem protagonist Grace Ashcroft's DLSS 5-ified face and declared it AI slop. So this week, the company's re-introducing its controversial "neural rendering" with firm messaging about how it "preserves artistic intent," "respects the rendered frame," […]

Nvidia is officially launching DLSS 5 this week, following a divisive announcement in March where we likened the AI upscaling tech to a "real-time generative AI filter for video games" and "motion smoothing for video games, but worse." DLSS 5 will officially be available on RTX 50-series desktop and laptop GPUs and through GeForce Now […]

While memory and storage prices are still high, there are still good discounts on other gaming-related hardware. Take Alienware’s AW2726DM, for example. Dell is selling it for $319.99, a $30 break from the usual price of $349.99. The 27-inch gaming monitor features an QD-OLED panel for deep, immersive black levels, and quantum dots for full […]

Model Predictive Control for Real-Time Robot Navigation A path planner tells a robot where it should go. A controller determines how the robot should move to follow that path. Model Predictive Control (MPC) repeatedly predicts future behavior and chooses control inputs that optimize a short horizon. MPC Concept Current State | v Predict future states | v Optimize control sequence | v Apply first control | v Measure new state | +----> Repeat The key idea is that the entire control sequence is not executed at once. Only the first action is applied before the problem is solved again. Robot Model For a simple differential-drive robot: x_dot = v cos(theta) y_dot = v sin(theta) theta_dot = omega The controller can predict where the robot will be after applying candidate velocity commands. Optimization Objective A typical objective might penalize: Distance from reference path Heading error Excessive control effort Rapid control changes Collision proximity Conceptually: Cost = tracking_error + control_effort + smoothness_penalty + obstacle_penalty Prediction Horizon Suppose the controller predicts: t0 -> t1 -> t2 -> t3 -> t4 For each candidate control sequence it estimates the resulting trajectory. The optimizer selects the best feasible sequence. Obstacle Handling A cost function can strongly penalize trajectories near obstacles: Obstacle ### ##### ### \ predicted trajectories \---- safe \--- unsafe Hard constraints can also be used when collision avoidance must be guaranteed by the optimization formulation. ROS 2 Architecture /global_plan | v /mpc ^ | /odom /imu /local_costmap | v /cmd_vel Real-Time Requirements MPC is computationally heavier than simple feedback controllers. Monitor: Optimization time Control frequency Solver failures CPU utilization Prediction horizon Sensor latency If optimization misses its deadline, the system needs a safe fallback. Practical Implementation Strategy Start simple: Define a robot model. Implement trajectory prediction. Define tracking

If your PC gaming controller is broken or you need an extra for a friend, there's a simple solution for iPhone users.

The leak contains beta builds and finished games from Valve and third-party developers.

Over 12 terabytes of data, containing builds of every game uploaded to Steam between 2003 and 2013, has been leaked. We don't know everything in the archives yet because of its massive size. But people have already dug up assets related to the canceled Half-Life 2: Episode 3, content cut from Portal 2, and a […]

People are grafting a pre-release version of DLSS 5 onto their favorite games with unspectacular results.

Caricare un’estensione da disco, aprirne il popup e automatizzare verifiche UI: un workflow più completo per chi sviluppa estensioni e usa agenti. Sviluppare un’estensione Chrome oggi significa spesso alternare tre modalità: codice “a mano”, generazione assistita da un coding agent e una fase di verifica nel browser che resta comunque imprescindibile. Il problema è che molti agenti riescono ad aprire pagine e cliccare elementi, ma si fermano quando entrano in gioco le estensioni: installazione, gestione del popup, interazioni con la UI dell’estensione, verifica rapida dei cambiamenti. Chrome DevTools for agents colma proprio quel vuoto: aggiunge al set di strumenti dell’agente la possibilità di installare e pilotare un’estensione durante i test, oltre a renderne più pratico il debugging. Quando è davvero utile Ci sono alcuni scenari tipici in cui il supporto “estensioni-aware” fa la differenza: Ciclo di feedback più rapido : compili/packi l’estensione, la carichi in Chrome e verifichi subito il popup o una content script UI. Test end-to-end più realistici : invece di simulare una UI in una pagina fittizia, testi l’estensione nel suo contesto reale (action popup, permessi, storage, ecc.). Validazione automatizzata : l’agente può controllare che l’estensione si installi correttamente, che il popup si apra e che i componenti principali siano presenti e interagibili. In pratica: se il tuo agente sa “guidare” il browser ma non sa “gestire” le estensioni, la qualità del test rimane limitata. Setup: abilitare esplicitamente gli strumenti per le estensioni Un dettaglio importante: per ragioni di sicurezza e controllo (in particolare per l’uso dei token e del contesto in cui operano gli agenti), le funzionalità specifiche per estensioni non sono abilitate di default . Dopo aver installato Chrome DevTools for agents, serve quindi un passaggio esplicito nella configurazione MCP: individua il tuo file di configurazione MCP ; abilita la categoria dedicata alle estensioni aggiung