Federated learning is not a new concept in the tech industry with Google exploring it for Gboard last year. However, ahead of I/O, the company has published a new video that provides a good recap of its benefits, possibly suggesting a broader push at tomorrow’s keynote.
Just last month, the Google app significantly updated its built-in podcast player with a homepage and subscriptions. An interview series this week revealed that Google has grander podcasts ambitions centered around AI and transcription, which allows for semantic analysis and mass search.
Machine learning has the potential to fuel major technological developments in countless fields, with Alphabet’s X division already investigating agriculture and food production usage. A team inside Google is now using it for cancer research and detection with a prototype microscope.
One particular advancement driven by machine learning is the ability for computers to understand natural language, with Google showcasing these improvements with Smart Reply. Its Research division has been exploring other applications and today releasing two fun and interesting demos.
According to a new report from The New York Times, Apple has hired Google’s chief of search and artificial intelligence, John Giannandrea. Tim Cook made the announcement in an email to employees, noting that Giannandrea will official be the head of “machine learning and A.I. strategy.”
Last year, Google introduced a series of mobile-first computer vision neural networks that allows for image classification and detection while remaining fast and low-power given the constraints of running on-device. The company is today making available MobileNetV2 with several performance improvements.
Two years ago, Google appointed its head of artificial intelligence to lead Search in a move that reflected the future of the company. Today, John Giannandrea is stepping down from those positions, with Google veterans Ben Gomes and Jeff Dean taking over.
Earlier this week, Google Cloud highlighted leveraging tech from DeepMind to create more natural-sounding text-to-speech. It comes as the Alphabet subsidiary is being more closely integrated into consumer products. Today, DeepMind announced that its opening an AI lab in Paris to compliment another Google research team.
As part of Google’s transition into an AI first world, the company wants to widely open up this technology. Its latest initiative involves a new website with a number of resources, as well as a previously internal online learning course.
Last year, Google announced a $1 billion initiative to teach the skills needed for new digital jobs in light of automation. Grow with Google is now expanding to France, with the company also launching a new AI research team and bigger offices.
At I/O 2017, Sundar Pichai announced a new, better way to design machine learning models that would help democratize access beyond organizations with deep benches of AI researchers and PhDs. Today, Google Cloud announced AutoML as a consumer product aimed at businesses and developers that don’t have ML expertise.
Machine learning is increasingly being leveraged in a variety of consumer products and other research. The latest use sees Google apply AI to planet hunting and in the process discovering two previously overlooked exoplanets.
Bolstering its status as an AI first company, Google has opened machine learning research labs around the world in recent years. The latest is the Google AI China Center headquartered in Beijing.
As advances in artificial intelligence grow, companies are looking for new applications and fields to apply the technology. One whimsical output sees Google applying AI to creating food and more topically baking cookies. Fortunately, all are able to benefit from this “advancement” with the company publishing the recipe.
While on stage today at Google I/O 2017, CEO Sundar Pichai announced the company’s second generation TPUs (Tensor Processing Units), a cloud-computing system of software and hardware that aid in machine learning workloads.
Any SF fan will be familiar with Asimov’s famous Three Laws of Robotics, designed to ensure that robots were safe to be around. Scientists at Google, OpenAI, Stanford and Berkeley have just published a paper proposing the real-life equivalent for AI systems.
In a blog post summarising the proposal, Google Research’s Chris Olah says that while the team believes that AI will greatly benefit humanity, the risks do also need to be considered …
Google Brain, the search giant’s machine learning arm, is setting up a new group to see if it can teach AI to make its own, original works of art. The company, named Magenta, will be announced more officially at the beginning of June, but was referenced to in a talk given by Douglas Eck, a Google Brain researcher, at Moogfest.
Last month we reported on Google planning a “watershed” quantum computing announcement, which the company and NASA delivered jointly today. Google’s Quantum AI team announced the results of its latest test in understanding the physics governing quantum annealers, which shows that quantum annealing can outperform simulated annealing by more than 108 times – yes that’s 100,000,000x faster.
