The Defense Innovation Unit is bringing together the best of commercially available artificial intelligence technology and the Defense Department’s vast cache of archived medical data to teach computers how to identify cancers and other medical irregularities. The result will be new tools medical professionals can use to more accurately and more quickly identify medical issues…
Many machine learning (ML) projects stall between proof-of-concept (POC) and full-scale production. Successfully scaling pilots across the organization requires a combination of business leadership buy-in, the right skills and data, and ensuring that models remain accurate over time.“A lot of customers get excited with pilots, but the reality and where they actually benefit is when…
In the nanoworld, tiny particles such as proteins appear to dance as they transform and assemble to perform various tasks while suspended in a liquid. Recently developed methods have made it possible to watch and record these otherwise-elusive tiny motions, and researchers now take a step forward by developing a machine learning workflow to streamline…
Enterprise AI and machine learning platform developer Dataiku has raised $100 million in a Series D round of financing, the company said Monday. The funding round was led by Stripes, a growth equity and services company focused on startups in the software and consumer products industries. New investor Tiger Global Management was a major investor…
NEC is known for its vector processor-powered supercomputers, most notably the Earth Simulator. Typically, NEC’s vector processors have been aimed at numerical simulation and similar workloads, but recently NEC unveiled a platform that makes its latest SX-Aurora Tsubasa supercomputer-class processors usable for artificial intelligence and machine learning workloads. “The vector processor, with advanced pipelining, is…
Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, and the growing sophistication in algorithms. The flip side of more complex algorithms, however, is less interpretability. In many cases, the ability to retrace and explain…
Now more than ever, you may be looking for ways to make your business more efficient, more streamlined, more cost-effective, and better able to cope with changing market needs. Artificial intelligence – in particular, AI-driven automation – is helping companies achieve all this and more. 7 Successful Ways To Use Artificial Intelligence To Improve Your…
Standard Chartered taps Truera to pull back the veil for better transparency on how its data gets analyzed and the predictions algorithms make.Financial and banking services company Standard Chartered turned to a model intelligence platform to get a clearer picture of how its algorithms make decisions on customer data. How machine learning comes to conclusions…
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“Even for people with similar levels of experience in tuning, the model performed differently.” Hyperparameters are usually tuned by a human operator such as an ML engineer. This is still a standard practice despite the great success of AutoML platforms. Though there is no doubt that businesses are more readily embracing AutoML tools, the role…