How parallel processing is key to AI learning to drive
The day looms closer when autonomous vehicles will be let loose on our roads, as the legal implications, safety concerns, and technical considerations get ironed out. Movement on the last of those has been swift, with progress from companies such as Google, Tesla, General Motors, and MIT’s Computer Science and Artificial Intelligence Laboratory. Some vehicles, though, are powered by a name familiar to anyone who’s played a game on PC in the past 20 years.
Nvidia’s entry into the autonomous vehicle market might seem to be an odd choice for a company more commonly associated with texture fill rates and polygons-per-second, but it’s the massive parallelism of its processors, as well as their relatively low power requirements, that makes them suitable.
Autonomous vehicle technology is divided into levels, with Level One being something as simple as cruise control, and Level Two taking that a step further with automatic parking or adaptive cruise control that stays a set distance from the car in front. Level Five is a fully robotic car that may not even have a steering wheel, and which can drive itself in areas that don’t have hyperdetailed mapping or any kind of geofencing to help it out. Cars currently available are around Level Two, with anything higher being the domain of Tesla, high-end Audi, or Mercedes, and those used purely for testing.
Denne historien er fra December 2018-utgaven av PC Gamer US Edition.
Start din 7-dagers gratis prøveperiode på Magzter GOLD for å få tilgang til tusenvis av utvalgte premiumhistorier og 9000+ magasiner og aviser.
Allerede abonnent ? Logg på
Denne historien er fra December 2018-utgaven av PC Gamer US Edition.
Start din 7-dagers gratis prøveperiode på Magzter GOLD for å få tilgang til tusenvis av utvalgte premiumhistorier og 9000+ magasiner og aviser.
Allerede abonnent? Logg på
Special Report- Stacked Deck - Monster Train, a deckbuilding roguelike that firmly entrenched itself as the crown prince to the kingly Slay the Spire back in 2020, was the kind of smash success you might call Champagne Big.
Monster Train, a deckbuilding roguelike that firmly entrenched itself as the crown prince to the kingly Slay the Spire back in 2020, was the kind of smash success you might call Champagne Big. Four years later, its successor Inkbound’s launch from Early Access was looking more like Sandwich Big.I’m not just saying that because of the mountain of lamb and eggplants I ate while meeting with developer Shiny Shoe over lunch, to feel out what the aftermath of releasing a game looks like in 2024. I mean, have I thought about that sandwich every day since? Yes. But also, the indie team talked frankly about the struggle of luring Monster Train’s audience on board for its next game.
SCREENBOUND
How a 5D platformer went viral two months into development
OLED GAMING MONITORS
A fresh wave of OLED panels brings fresh options, greater resolutions and makes for even more impressive gaming monitors
CRYSIS 2
A cinematic FPS with tour de force visuals.
PLOD OF WAR
SENUA’S SAGA: HELLBLADE 2 fails to find a new path for its hero
GALAXY QUEST
HOMEWORLD 3 is a flashy, ambitious RTS, but some of the original magic is missing
FAR REACHING
Twenty years ago, FAR CRY changed the landscape of PC gaming forever.
THY KINGDOM COME
SHADOW OF THE ERDTREE is the culmination of decades of FromSoftware RPGs, and a gargantuan finale for ELDEN RING
KILLING FLOOR 3
Tripwire Interactive's creature feature is back
IMPERFECTLY BALANCED
Arrowhead says HELLDIVERS 2 balancing patches have 'gone too far'
