(Original title: CES 2018: When will AI deliver for humans?)
Icon: Self-driving taxi on the streets of Las Vegas
Netease Technology News January 10, according to the BBC, this week at the International Consumer Electronics Show (CES) in Las Vegas, you can learn a lot of exciting news about the development of artificial intelligence. However, we do not know whether this kind of artificial intelligence is a marketing victory, or whether it can bring about real improvement in the social economy and our way of life.
The first stop for BBC reporters is the University of Las Vegas Robotics Laboratory. The scientists there are studying various projects from drones to virtual reality, but they also work with the star team of the robot world.
Sophia is a humanoid robot whose facial expressions look a little too human and even feel a bit frightening. Sophia became famous after Saudi Arabia gave her citizenship. This gimmick has caused many people to question whether Saudi women should now be given more freedom than robots.
Sofia was developed by Hanson Robotics, a US company based in Hong Kong. We shook hands and talked to her and Sofia answered my questions very clearly - although I should say that she had prepared in advance what questions I would like to ask.
In many ways, this is an impressive research project. Scientists from the United States and China jointly developed this robot and used expertise from speech recognition to machine learning.
However, when I asked what the actual purpose of this robot was to run, Hanson Robotics founder David Hanson was ambiguous in his wording, referring to the use of robots as an adjunct to children with autism or As a work of art.
However, he is an ambitious figure who takes Sofia as a platform for achieving the ultimate goal of artificial intelligence, which is to let the performance of the machine surpass humanity.
He admits that now, Sofia’s IQ is in many ways just like amoeba. But Hudson hopes to learn and grow on her own when she is dealing with people. He told me: "Our desire is to bring the machine into life."
This vision has been questioned by scientists who believe that human-type machines are the wrong route for the development of artificial intelligence and fear that this will cause people to fear the killer robot in the movie.
In other areas, we have found that many companies are trying to turn artificial intelligence into a marketable product. Voice control devices are ubiquitous and Alexa, Amazon’s digital assistant, is now facing challenges from Google’s assistants. The two tech giants seem to believe that in our lives, people will soon hear voice commands from all devices, from light switches to microwave ovens.
In the streets of Las Vegas, the battle for future self-driving cars is in full swing. I took a self-driving taxi, which was a collaboration between Uber’s rival Lyft and the technology company Aptiv, which had hired an artificial intelligence team from Carnegie Mellon University and MIT.
The car's automatic driving mode is impressive and can pay close attention to the surrounding pedestrians. But once we arrived at Caesars Palace Hotel, the driver immediately took control. It seems that casinos are still cautious about using autonomous driving technology in their area.
In downtown Las Vegas, I got into a more futuristic vehicle, a taxi without a driver, without a steering wheel or pedal. It revolves around a large street set for self-driving cars, but the process does not go smoothly and the vehicle stops in any obstacle alarm. Despite this, the French transportation company Navya behind this project insists that a self-driving taxi named Autonom will soon be launched in cities in the United States and Australia.
But at the International Consumer Electronics Show, the most confident position for artificial intelligence was made by Baidu. His artificial intelligence chief Qi Lu walks onto the stage to explain to the Las Vegas audience what his company has done - "China's Google" - and why his country wants to shrink with its American rivals difference. This depends entirely on scale - China has more people, can generate more data, and has a fairly friendly policy environment.
This means that technologies like facial recognition can be deployed more quickly, creating a virtuous circle, and more data makes the related artificial intelligence systems faster to improve.
However, with the continued development of gold rushes in this data, and the increasing speculation in the field of artificial intelligence, it is worth thinking about this huge fallacy: In this era of technological change, productivity growth has stagnated.
For example, after checking in online, you still need to queue up checked baggage at the airport; or stand at the hotel's reception desk and enter data into the computer endlessly.
If you have experienced this productivity paradox, you may wonder whether smart machines that learn from large amounts of data can make our lives easier and more efficient. (晗冰)
Household Electrical Appliances
gree , https://www.greegroups.com