The shuttle is electric and has no driver’s seat or steering wheel.
San Francisco has launched a new service that lets people ride a driverless shuttle around Treasure Island, a former naval base in the middle of the bay. The free shuttle, which runs daily on a fixed route, is part of a pilot program to test how autonomous vehicles can improve public transportation.
Credits: AP Photo/Terry Chea.
A convenient and eco-friendly option?
YouTuber Shane Wighton from the channel “Stuff Made Here” has created a terrifying bow that aims itself and never misses.
The bow is so sophisticated that Wighton doesn’t even have to look at the target — he demonstrates with an apple perched on top of a Styrofoam apple — to hit a bullseye.
Well, that’s terrifying.
People are having sex in the backseat while their driverless robotaxi is ferrying them to their final destination in San Francisco.
According to the video’s description, “every year: 16,915,140 drivers are pulled-over in traffic. 195,078 motorists have physical force used on them, and 4,488 officers are assaulted. 89 of those motorists die, and 11 of those officers die.”
It’s no surprise that machines have the same problem. Although they’re armed with a myriad of sensors, self-driving cars are still trying to live up to their name. They perform well under perfect weather conditions and roads with clear traffic lanes. But ask the cars to drive in heavy rain or fog, smoke from wildfires, or on roads without streetlights, and they struggle.
This month, a team from Purdue University tackled the low visibility problem head-on. Combining thermal imaging, physics, and machine learning, their technology allowed a visual AI system to see in the dark as if it were daylight.
At the core of the system are an infrared camera and AI, trained on a custom database of images to extract detailed information from given surroundings—essentially, teaching itself to map the world using heat signals. Unlike previous systems, the technology, called heat-assisted detection and ranging (HADAR), overcame a notorious stumbling block: the “ghosting effect,” which usually causes smeared, ghost-like images hardly useful for navigation.
The term ‘Expensive optimization problem’ (EOP) refers to any problem that requires expensive or even unaffordable costs to evaluate candidate solutions. These problems exist in many significant real-world applications.
On the one hand, the “expensive cost” can refer that an evaluation itself that requires abundant time, money and so on. On the other hand, the “expensive cost” is a relative concept rather than an absolute concept in many real-world problems.
For instance, when encountering emergencies like epidemics or natural disasters, transportation and dispatching can be urgent for supporting daily operations and saving lives, where the time cost of optimization will become too expensive to accept at this time.
Warren Buffett missed a trick when he passed on Tesla early on, Elon Musk said.
“He could’ve invested in Tesla when we were worth basically nothing and didn’t,” the SpaceX and Tesla CEO posted on X, the website formerly called Twitter, on Thursday.
He was responding to a post highlighting Buffett’s vast wealth and the enormous value of his Berkshire Hathaway conglomerate.
A subsidy-fueled boom helped build China into an electric-car giant, but with an economic slowdown and hundreds of ride-hailing companies going bust, the country is facing a excess of unwanted batter-powered vehicles. Linda Lew reports on Bloomberg Television.
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Nvidia (NVDA) will report its second quarter earnings after the closing bell next Wednesday, setting up what will be the AI hype cycle’s biggest test yet. During this AI gold rush, companies around the world looking to profit have turned to Nvidia’s graphics processors to power new AI software and platforms.
Currently, tech firms of all sizes are doing everything they can to get their hands on Nvidia chips. During Tesla’s (TSLA) Q2 earnings call, CEO Elon Musk told analysts that the automaker will take as many Nvidia graphics processors as the company can produce.
Nvidia is widely expected to have a blowout earnings report. A miss could derail the AI hype train.
Called “Pibot,” this humanoid robot integrates large language models to help it fly any aircraft as well as, if not better than, a human pilot.
Researchers at the Korea Advanced Institute of Science & Technology (KAIST) are working to develop a humanoid pilot that can fly an aircraft without modifying the cockpit. Called “Pibot,” the robot has articulated arms and fingers that can interact with flight controls with great precision and dexterity. It also comes with camera “eyes” that help the robot monitor the internal and external conditions of the aircraft while in control.
Korea Herald.
