Google Brain Co-Founder Teams With Foxconn to Bring AI to Factories

#artificialintelligence

Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com But at a press briefing in San Francisco two days before Ng's Landing.ai In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained," Landing.ai's


Google Brain co-founder teams with Foxconn to bring AI to factories

#artificialintelligence

Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com But at a press briefing in San Francisco two days before Ng's Landing.ai In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained," Landing.ai's


Score more than 50 hours of training in machine learning for less than $40

Mashable

Computers may not wear tennis shoes (yet), but thanks to developing artificial intelligence technologies, they're smarter than ever before. Along with those technologies has come a relatively new category of computer science called machine learning, or ML. Similar to statistics, ML involves computer systems that utilize algorithms to automatically learn about data, recognize patterns, and make decisions, all without outside intervention or explicit directions from human beings. In the real world, you can find it being used in smart assistants like Siri and the Amazon Echo, in online fraud detection services, in the facial recognition feature that identifies photos of you on Facebook, and more recently, in Tesla's self-driving car. ML is distinctive in the world of AI in that it can be used to process vast amounts of data quickly, making it a desirable tech skill among job applicants not only in the fields of computer science and engineering, but also marketing, health care, finance, social media, and beyond.


Apple to Start Publishing AI Research to Hasten Deep Learning

#artificialintelligence

Apple Inc. will allow its artificial intelligence teams to publish research papers for the first time, marking a significant change in strategy that could help accelerate the iPhone maker's advances in deep learning. When Apple introduced its Siri virtual assistant in 2011, the company appeared to have a head start over many of its nearest competitors. But it has lost ground since then to the likes of Alphabet Inc.'s Google Assistant and Amazon.com Researchers say among the reasons Apple has failed to keep pace is its unwillingness to allow its AI engineers to publish scientific papers, stymieing its ability to feed off wider advances in the field. So you can sleep an extra five minutes.


Amazon admits employees listen to Alexa conversations

The Independent - Tech

Amazon has admitted that employees listen to customer voice recordings from Echo and other Alexa-enabled smart speakers. The online retail giant said its staff "reviewed" a sample of Alexa voice assistant conversations in order to improve speech recognition. "This information helps us train our speech recognition and natural language understanding systems, so Alexa can better understand your requests, and ensure the service works well for everyone," Amazon said in a statement. We'll tell you what's true. You can form your own view.