
Tag: hyperparameter optimization
Intel Corp. is acquiring AI optimization software vendor SigOpt, a move the chip maker said would complement its existing AI software portfolio while integrating SigOpt’s tools with its AI hardware to accelerate and scale AI software used by model developers. Read more…
With the war on AI talent heating up, the new “unicorns” of Silicon Valley are high-performing data scientists. Although as recently as 2015 there was a surplus of data scientists, in the most recent quarter there was a 150,000 deficit. Read more…
It’s no secret that America’s spies are collecting massive amounts of data. And now that In-Q-Tel, the venture capital arm of the nation’s intelligence agencies, has taken a stake in hyperparameter optimization startup SigOpt, they’ll have one more tool for building accurate machine learning models based on that data. Read more…
Despite the progress we’ve made in deep learning, the approach remains out of reach for many, largely due to the high costs associated with tuning models for specific AI tasks. Read more…
As deep learning goes mainstream, early practitioners are finding creative new ways to harness huge collections of unstructured data. But they’re also realizing how critical it is to tune one’s model for optimal performance. Read more…