A VP and engineer from Google has quit after working for the company for ten years. He was the creator of several of the most crucial techniques used in modern-day artificial intelligence at Google. According to a report in the New York Times today says that he will be leaving Google.
For more details, Hinton said he was quitting the company due to concerns. Hinton said he was concerned about the technology he assisted to create. According to him, resigning from the company will allow him to speak out about the technology openly. He also mentioned that he regretted that particular part of his professional life.
This Wednesday Hinton has scheduled a talk at the MIT Tecnology Review at EmTech Digital. It will be his first interview since his resignation. The year 2018 was the first time he received the Nobel Prize in computing together with Ann Lecun and Yoshua Bengio.
According to Lecun, the chief AI Researcher for Meta, Geoff has contributed significantly to AI. “He didn’t tell me that he planned to quit, but I’m not too surprised,” Lecun said.
Since 2013, Google bought Geoff’s start-up company DNNresearch. Since that time, the 75-year old Computer scientist worked with Google and the University of Toronto. University of Toronto and Google. Hinton founded his company as a result of the research team he was part of. The research group was involved in advanced machine learning to aid in image recognition. With this feature, the search for images on Google has become a lot more simple.
COULD GOOGLE AI HAVE SOME CONNECTIONS WITH THE US MILITARY?
For a long time, Hinton has been raising concerns regarding using AI particularly to serve military purposes. Hinton also outlined why that he mainly spent the time in Canada. He also said that getting funding that isn’t linked to the US military can be difficult in America. US. But, this isn’t the situation in Canada which is the reason he spent the bulk of his time in Canada. Regarding the departure, Google chief scientist, David Hinton, spoke about his experiences in being in contact with Hinton. “Geoff has been a pioneer in AI and we’re grateful for his ten years of work at Google. I’ve thoroughly enjoyed our numerous conversations throughout the years. I’ll miss him as well as wishing him the best,” he said.
Dean added the fact that Google was among the very first firms to announce AI principles. Therefore, the company will be committed to approaching AI with a sense of responsibility. “We’re continually learning to understand emerging risks while also innovating boldly,” said the CEO.
in the 80s Hinton along with his colleagues developed an algorithm known as Backpropagation. This is why Backpropagation is the term Hinton is most famous for. Backpropagation is a method that allows computers to improve and learn from tasks. In the present, it is the primary method behind nearly all machine learning technology. Backpropagation functions by changing the connections between various components of the brain that computer computers use until it receives the best answer. It repeats this process repeatedly until the computer is able understand the task that was assigned to it.
Hinton believes that backpropagation operates similar to how it works in the way that the Human brain operates in learning. Hinton went even further in seeking to enhance the process. However, it came out it was impossible to find any solution to improve the quality of his work.
AI AND MACHINE LEARNING IS AVAILABLE TODAY MOSTLY BECAUSE OF GOOGLE ENGINEER
In an announcement in a statement, a professor from the University of Montreal and scientific director of the Montreal Institute for Learning Algorithms stated that Hinton is due a lot of credit for the development of machines learning feasible in the present. “I assume this also makes him feel a particularly strong sense of responsibility in alerting the public about potential risks of the ensuing advances in AI,” the professor said.
The news has been a source of concern across the globe. What should we be concerned about? Are Google making use of Machine Learning to create something risky? What about the use of US Military? These are just a few questions that people are asking. The majority of people will get their answers in the course of his interview.
In the time of his appearance on MIT Technology Review, Hinton is likely to discuss the primary reason for his resignation. Whatever the reason the concerns concerning the Backpropagation technology in connection to the US military do not seem to be a good idea. There’s definitely something frightful in the closet. The interview is just a days away. We will be following the news and inform our readers of all the information that comes from the interview.
