Researchers Uses Machine Learning To Detect PTSD  Analytics India MagazineLondon-based researchers have now coupled brain imaging with machine learning to detect PTSD in patients with an accuracy of 92%

Amazon Open Sources SageMaker Neo To Run Machine Learning Models At The Edge  ForbesAmazon has announced a new open source project, Neo-AI, which attempts to optimize the performance of machine learning models for a variety of platforms.

Data scientists use machine learning to improve abortion care  ABC LocalIn Australia, a ground-breaking project is underway to reform how abortion care is delivered.

Apple’s dismissal of 200 self-driving car employees points to a shift in its AI strategy  CNBCSome of Apple’s self-driving car employees will now be working more broadly on AI and machine learning. It’s another signal the company is beefing u…

Analysis: “The Era of Deep Learning Is Coming to an End”  FuturismAccording to a massive analysis by MIT Technology Review, the AI research community may soon move away from deep learning toward something new.

CoreLogic home valuations to get machine learning boost  Inman.comCoreLogic has inked a deal with Pushpin, a company whose platform can automatically pick out property parcel information from aerial imagery.

The AI And Machine Learning Nirvana: Reachable With The Right Approach  ForbesArtificial intelligence and machine learning are often hailed as an operational nirvana, and they can be — if organizations use and prepare for them carefully.

Machine-Learning Competition Focuses on Data from Giant Sky Camera  Lawrence Berkeley National LaboratoryA machine-learning competition focuses on training computers to identify the many types of objects a new telescope will be imaging.

We analyzed 16625 papers to figure out where AI is headed next  MIT Technology ReviewOur study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end.

Dimension Reduction: Preparing Marketing Data For Efficient Machine Learning  CMSWireMarketers must be deliberate when adding dimensions to a machine learning model. The cost of adding too many is accuracy.