Pandas: Framing the Data


Data science, and numerical computing, in general, has a problem: the deep linear algebra libraries deal with pure numbers in vectors and matrices, but in the real world there is always metadata attached to those structures that needs to be carried along through the computational pipeline. Rows and columns have information attached to them--names, typically--that has to be accounted for even as we do things like remove rows or swap data around to make certain computations more tractable.

BlackBerry pens framework for securing connected and autonomous cars


BlackBerry on Wednesday laid out a recommended framework for automakers to address the cybersecurity challenges surrounding connected and autonomous vehicles.

Australian boy who lost visual part of his brain can see

Daily Mail

A seven-year-old boy who lost the visual processing center of his brain at two weeks old has shocked doctors by having normal sight.

Improving Clinical Trials With Machine Learning


Though consistency across the population renders the extraordinarily complex functional anatomy of the human brain surveyable, the inverse inference--from common functional maps to individual behaviour--is constrained by marked individual deviation from the population mean. Such inference is fundamental to the evaluation of therapeutic interventions in focal brain injury, where the impact of an induced structural change in the brain is quantified by its behavioural consequences, inevitably refracted through the lens of lesion-outcome relations. Current therapeutic evaluations do not incorporate inferences to the individual outcome derived from a detailed specification of the lesion anatomy, relying only on reductive parameters such as lesion volume and crudely discretised location. Examining 1172 patients with anatomically registered focal brain lesions, here we show that such low-dimensional models are highly insensitive to therapeutic effects. In contrast, high-dimensional models supported by machine learning dramatically improve sensitivity by leveraging complex individuating patterns in the functional architecture of the brain.

Artificial Intelligence Software to Use in Your Business


The development of artificial intelligence gathers pace. Every day you can read some new information about chatbots, voice recognition, virtual assistants, robots, etc. More artificial intelligence software get on your phones and computers. However, are these technologies worth the money you pay?

San Francisco Just Put the Brakes on Delivery Robots


San Francisco, land of unrestrained tech wealth and the attendant hoodies and $29 loaves of bread, just said whoa whoa whoa to delivery robots.

5 Predictions About the Future of Machine Learning - Talend Real-Time Open Source Data Integration Software


Machine Learning is currently one of the hottest topics in IT. The reason stems from the seemingly unlimited use cases where machine learning can play from fraud detection to self-driving cars, and even identifying your'gold card' customers to price prediction.

JPL's AI-Powered Racing Drone Challenges Pro Human Pilot

IEEE Spectrum Robotics Channel

As drones and their components get smaller, more efficient, and more capable, we've seen an increasing amount of research towards getting these things flying by themselves in semi-structured environments without relying on external localization. The University of Pennsylvania has done some amazing work in this area, as has DARPA's Fast Lightweight Autonomy program.

Lyft's self-driving car pilot launches in Boston


It took several months, but Lyft and nuTonomy have made good on their promise to test autonomous ridesharing cars in Boston. The two have launched a pilot program that gives "select" Seaport-area passengers a ride in one of nuTonomy's self-driving Renault cars. If you're one of the few to hop in (the Lyft app will make it obvious), your feedback will help refine the system to make sure it's both comfortable and safe.