Excellent story by Gideon Lewis-Kraus- in the New York Times Magazine. He illustrates the current awakening of Artificial Intelligence with the remarkable progress of Google translate and the bold plans of the Google Brain team.
When Google CEO Sundar Pichai said that Google would henceforth be “A.I. first,” he was not just making a claim about his company’s business strategy; he was throwing in his company’s lot with this long-unworkable idea.
An average brain has something on the order of 100 billion neurons. Each neuron is connected to up to 10,000 other neurons, which means that the number of synapses is between 100 trillion and 1,000 trillion. For a simple artificial neural network of the sort proposed in the 1940s, the attempt to even try to replicate this was unimaginable. We’re still far from the construction of a network of that size, but Google Brain’s investment allowed for the creation of artificial neural networks comparable to the brains of mice. Read More
To know what a user wants, before he or she does. That it the ultimate goal of Google Search. The company has come one step closer with the help from deep neural networks, a form of artificial intelligence rapidly remaking not just Google’s search engine but the entire company.
Deep neutral nets are pattern recognition systems that can learn to perform specific tasks by analyzing vast amounts of data. In this case, they’ve learned to take a long sentence or paragraph from a relevant page on the web and extract the upshot—the information you’re looking for.
Wired gives this example:
ASK THE GOOGLE search app “What is the fastest bird on Earth?,” and it will tell you.
“Peregrine falcon,” the phone says. “According to YouTube, the peregrine falcon has a maximum recorded airspeed of 389 kilometers per hour.”
That’s the right answer, but it doesn’t come from some master database inside Google. When you ask the question, Google’s search engine pinpoints a YouTube video describing the five fastest birds on the planet and then extracts just the information you’re looking for. Read More
Remember when every software company showed up for the “race to the cloud”? Something similar is happening with AI. The Big Five (Google, Amazon, Facebook, IBM and Microsoft) are investing heavily and not just with R&D budgets. Meet the brains behind the race.
Google: Fei-Fei Li
Fei-Fei Li is an Associate Professor at the Computer Science Department at Stanford University. At Google she will apply her experience to democratize machine learning to the enterprise. Her task: Study the problems that machine learning could solve in a wide variety of industries and enable enterprises to adopt machine learning. Read More