Google has launched an open source machine learning platform called TensorFlow, making it available to any developer who wants to tinker with the highly scalable system.
TensorFlow can already be found in the company’s speech recognition systems found on Google Now to its Photos photo search algorithms.
The web giant said TensorFlow can run on many devices, ranging from a single smartphone to an entire data centre.
“We’ve seen firsthand what TensorFlow can do, and we think it could make an even bigger impact outside Google,” wrote CEO Sundar Pichai on the official Google blog, explaining TensorFlow is faster, smarter, and more flexible than Google’s old system.
Machine-learning uses processes akin to how our brains work, with algorithms creating neural pathways to remember information that can easily be pulled up again. TensorFlow lets Google build and train “neural nets” up to five times faster than the old system.
“Although initially a research project, we’ve since collaborated with about 50 different teams at Google and deployed these systems in real products across a real wide spectrum of areas,” said Jeff Dean, a Google Senior Fellow.
“Today it’s used heavily in our speech recognition, in the new photos product, in Gmail, in Search.”
Microsoft to avoid an EU investigation into its $13 billion investment in OpenAI, after EC…
As President Biden 'considers' request to drop Julian Assange extradition, US provides assurances to prevent…
Tesla shareholders to be asked to reinstate Elon Musk's $56 billion pay package, days after…
Catching WhatsApp? Billionaire founder of Telegram claims encrypted platform will reach one billion users within…
Good news for Mark Zuckerberg as judge dismisses some claims in dozens of lawsuits alleging…
Consequences of Assembly Bill 886. Google begins removing California news websites from some search results