Robots are now just as good at transcribing speech as humans.
According to a paper published yesterday, a team of Microsoft engineers in the Artificial Intelligence and Research division reported their system reached a word error rate (WER) of 5.9 percent, a figure that is roughly equal to that of human abilities.
Continue reading… “Microsoft’s speech recognition is now as accurate as a human’s”
A team of researchers from Belgium think that they are close to extending the anticipated end of Moore’s Law, and they didn’t do it with a supercomputer. Using an artificial intelligence (AI) algorithm called reservoir computing, combined with another algorithm called backpropagation, the team developed a neuro-inspired analog computer that can train itself and improve at whatever task it’s performing.
Continue reading… “Self-Learning AI: New Neuro-Inspired Computer Trains Itself”
Speaking to attendees at a deep learning conference in London last month, there was one particularly noteworthy recurring theme: humility, or at least, the need for it.
While companies like Google are confidently pronouncing that we live in an “AI-first age,” with machine learning breaking new ground in areas like speech and image recognition, those at the front lines of AI research are keen to point out that there’s still a lot of work to be done. Just because we have digital assistants that sound like the talking computers in movies doesn’t mean we’re much closer to creating true artificial intelligence.
Continue reading… “The three biggest problems facing AI today”
Next year, we may see the launch of the first true quantum computers.
The implications will be staggering.
This post aims to answer three questions:
There’s a lot to unpack here, so hang tight, and let’s jump in!
Continue reading… “Quantum Computing is coming and bringing massive disruption with it”
A jump in the fluency of Google’s language software will help efforts to make chatbots less lame.
Google’s latest advance in machine learning could make the world a little smaller.
Continue reading… “Google’s New Translator Works Almost as Well as Humans”
People want it—but don’t understand it.
If you had to pick a tech industry buzzword for 2016, “machine learning” would be a good choice. Every other company, it seems, is packing the phrase into their pitches, and it’s having an effect.
Continue reading… “Machine Learning: What Companies Get Wrong”
Within five years robots and so-called intelligent agents will eliminate many positions in customer service, trucking and taxi services, amounting to 6 percent of jobs, according to a Forrester report.
“By 2021, a disruptive tidal wave will begin,” said Brian Hopkins, VP at Forrester, in the report. “Solutions powered by AI/cognitive technology will displace jobs, with the biggest impact felt in transportation, logistics, customer service, and consumer services.”
Continue reading… “Report: AI will eliminate 6 percent of jobs in five years”
Show a human any photograph and they’ll able to predict what happens next with pretty decent accuracy. The woman riding her bike will keep on moving. The dog will catch the frisbee. The man is going to have a pratfall. And so on. It’s such a basic skill that we don’t consider the vast amount of information that is used to make these predictions — concerning gravity, inertia, the nature of pratfalls, etc. — and teaching computers to do the same is proving to be a key challenge in machine vision.
Continue reading… “The next trick for machine learning is generating videos from photos”
By delving into the futuring techniques of Futurist Thomas Frey, you’ll embark on an enlightening journey.
Learn More about this exciting program.