Buzzword or Benefit: How Real is Your DSP’s Machine Learning?  MarTech AdvisorLots of DSPs are talking about using AI but how can brands tell what’s real? With that in mind, Jay Seideman, SVP at Oath Advertiser Platforms, discusses how …

Applying Machine Learning At The Front End Of HPC  The Next PlatformIBM and the other vendors who are bidding on the CORAL2 systems for the US Department of Energy can’t talk about those bids, which are in flight, and Big.

The Hard Questions of Hiring For Machine Learning  DatanamiI’ve been thinking a lot about hiring for the machine learning specialization lately. It’s no surprise. New data is emerging almost daily about the rise of machine …

Health Data Meets Artificial Intelligence And Machine Learning  ForbesData holds the key to future medical revolution. The more data we collect, the more we learn from it, and the closer we come to discovering revolutionary new …

Novel machine learning technique for simulating the every day task of dressing  Science DailyComputer scientists have devised a novel computational method, driven by machine learning techniques, to successfully and realistically simulate the …

Machine Learning in the Health Care Industry: Homing In on the KPIs That Matter  MIT SloanBurdened by an overabundance of KPIs, the health care sector can look to machine learning to force a focus on the metrics that matter most.

Machine Learning Can Create Fake ‘Master Key’ Fingerprints  WIREDResearchers have refined a technique to create so-called DeepMasterPrints: fake fingerprints designed to get past security.

What is machine learning? We drew you another flowchart  MIT Technology ReviewIt pretty much runs the world.

Machine learning, meet quantum computing  MIT Technology ReviewA quantum version of the building block behind neural networks could be exponentially more powerful.

Today’s Deep Learning “AI” Is Machine Learning Not Magic  ForbesEven the best AI tools are more artistry than science, require reams of carefully curated data from which they inherit significant biases, cannot generalize beyond …