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| Processor | AMD Ryzen 5 7600 |
|---|---|
| Motherboard | Gigabyte B650 Aorus Elite AX |
| Cooling | Thermalright Peerless Assassin 120 SE |
| Memory | Kingston Fury Beast DDR5-5600 16GBx2 |
| Video Card(s) | Gigabyte Gaming OC AMD Radeon RX 7800 XT 16GB |
| Storage | TEAMGROUP T-Force Z440 2TB, SPower A60 2TB, SPower A55 2TB, Seagate 4TBx2, Samsung 870 2TB |
| Display(s) | AOC 24G2 + Xitrix WFP-2415 |
| Case | Montech Air X |
| Audio Device(s) | Realtek onboard |
| Power Supply | Be Quiet! Pure Power 11 FM 750W 80+ Gold |
| Mouse | Logitech G304 |
| Keyboard | Redragon K557 KAIA RGB Mechanical Keyboard |
| Software | Windows 10 |
Driverless cars now out-perform skilled racing drivers, engineers at Stanford University have shown, after pitting their latest model against a track expert.
The team has designed a souped-up Audi TTS dubbed ‘Shelley’ which has been programmed to race on its own at speeds above 120 mph at Thunderhill Raceway Park in Northern California.
When they tested it against David Vodden, the racetrack CEO and amateur touring class champion, Shelley was faster by 0.4 of a second.
To get the cars up to speed, the Stanford team have been studying drivers, even attaching electrodes to their heads to monitor brain activity in the hope of learning which neural circuits are working during difficult manouvres.
And they have used the results to make a car that can drive even better than expert motorists. They predict that within the next 15 years, cars which can drive with the skill of Michael Schumacher could be driving children to school.
“We’ve been trying to develop cars that perform like the very best human drivers,” said Professor Chris Gerdes, director of the Revs Programme at the Centre for Automotive Research at Stanford University.
“Race car drivers are really fantastic using all the friction between the tire and the road to get around the track.
“Now they are doing that to be fast but the same mathematics holds whether you’re a race car driver trying to go around the corner without going off the track or spinning, or whether you’re a normal driver going on an icy road where you come in a turn to fast and you want to stay in your lane.
“So by looking at race car drivers we are actually looking at the same mathematical problem that we use for safety on the highways.
“We’ve got the point of being fairly comparable to an expert driver in terms of our ability to drive around the track.”
By studying the brains of drivers when they were negotiating a race-track, the scientists were intrigued to find that during the most complex tasks, the experts used less brain power. They appeared to be acting on instinct and muscle memory rather than using judgement as a computer programme would.
“It looks as if the skilled race car drivers are able to control their cars with very little cognitive load,” said Prof Gerdes.
Mr Vodden agreed saying in difficult manouvres experience kicked in. "If you're thinking you're going too slow."
Full article here.
The team has designed a souped-up Audi TTS dubbed ‘Shelley’ which has been programmed to race on its own at speeds above 120 mph at Thunderhill Raceway Park in Northern California.
When they tested it against David Vodden, the racetrack CEO and amateur touring class champion, Shelley was faster by 0.4 of a second.
To get the cars up to speed, the Stanford team have been studying drivers, even attaching electrodes to their heads to monitor brain activity in the hope of learning which neural circuits are working during difficult manouvres.
And they have used the results to make a car that can drive even better than expert motorists. They predict that within the next 15 years, cars which can drive with the skill of Michael Schumacher could be driving children to school.
“We’ve been trying to develop cars that perform like the very best human drivers,” said Professor Chris Gerdes, director of the Revs Programme at the Centre for Automotive Research at Stanford University.
“Race car drivers are really fantastic using all the friction between the tire and the road to get around the track.
“Now they are doing that to be fast but the same mathematics holds whether you’re a race car driver trying to go around the corner without going off the track or spinning, or whether you’re a normal driver going on an icy road where you come in a turn to fast and you want to stay in your lane.
“So by looking at race car drivers we are actually looking at the same mathematical problem that we use for safety on the highways.
“We’ve got the point of being fairly comparable to an expert driver in terms of our ability to drive around the track.”
By studying the brains of drivers when they were negotiating a race-track, the scientists were intrigued to find that during the most complex tasks, the experts used less brain power. They appeared to be acting on instinct and muscle memory rather than using judgement as a computer programme would.
“It looks as if the skilled race car drivers are able to control their cars with very little cognitive load,” said Prof Gerdes.
Mr Vodden agreed saying in difficult manouvres experience kicked in. "If you're thinking you're going too slow."
Full article here.
The matter of fact is we as humans fell more comfortable knowing that there is a "trained" human in that cockpit sitting there and watching movies on his company issued iPad 
