Sea Trials Begin for Mayflower Autonomous Ship’s ‘AI Captain’
IBM (IBM) and marine research organization Promare, have announced that a new ‘AI Captain’, which will enable the Mayflower Autonomous Ship (MAS) to self-navigate across the Atlantic later this year, is to go to sea this month for testing. The trial, which will take place on a manned research vessel off the coast of Plymouth in the …
Powered By AI: Turning Any 2D Photo Into 3D Using Convolutional Neural Nets
3D Photos feature on Facebook launched in 2018 as a new, immersive format for sharing pictures with friends and family. The feature has relied on the dual-lens “portrait mode” capabilities available only in new, higher-end smartphones, however. So it hasn’t been available on typical mobile devices, which have only a single, rear-facing camera. To bring this …
Google Named A Leader In The Gartner 2020 Magic Quadrant For Cloud AI Developer Services
The enterprise applications for artificial intelligence and machine learning seem to grow by the day. To take advantage of everything AI/ML technologies have to offer, it’s important to have a platform that supports your needs fully—whether you’re a developer, a data scientist, an analyst, or just interested in AI. But with so many features and …
Explaining Model Predictions On Structured Data
Machine learning technology continues to improve at a rapid pace, with increasingly accurate models being used to solve more complex problems. However, with this increased accuracy comes greater complexity. This complexity makes debugging models more challenging. To help with this, last November Google Cloud introduced Explainable AI, a tool designed to help data scientists improve their …
ABB Robotics & Discrete Automation Outlines Strategy For Profitable growth
ABB’s Robotics & Discrete Automation (RA) business presented its strategy to drive profitable growth at an event for the financial community held at its Solutions Center in Friedberg, Germany. The business is well positioned to outgrow the market with the broadest portfolio of offerings, innovation strength, global footprint and deep domain expertise, supporting its customers’ …
Predicting How Well Neural Networks Will Scale
For all the progress researchers have made with machine learning in helping us doing things like crunch numbers, drive cars and detect cancer, we rarely think about how energy-intensive it is to maintain the massive data centers that make such work possible. Indeed, a 2017 study predicted that, by 2025, internet-connected devices would be using 20 …
A Human-Machine Collaboration To Defend Against Cyberattacks
Being a cybersecurity analyst at a large company today is a bit like looking for a needle in a haystack — if that haystack were hurtling toward you at fiber optic speed. Every day, employees and customers generate loads of data that establish a normal set of behaviors. An attacker will also generate data while …
A Road Map For Artificial Intelligence Policy
The rapid development of artificial intelligence technologies around the globe has led to increasing calls for robust AI policy: laws that let innovation flourish while protecting people from privacy violations, exploitive surveillance, biased algorithms, and more. But the drafting and passing of such laws has been anything but easy. “This is a very complex problem,” …
New Machine Learning Method From Stanford, With Toyota Researchers, Could Supercharge Battery Development For Electric Vehicles
Battery performance can make or break the electric vehicle experience, from driving range to charging time to the lifetime of the car. Now, artificial intelligence has made dreams like recharging an EV in the time it takes to stop at a gas station a more likely reality, and could help improve other aspects of battery …
Optimizing Infrastructure For Neural Recommendation At Scale
We are sharing an in-depth characterization and analysis for infrastructures used to deliver personalized results in deep neural network-based (DNN) recommendation at scale. Although DNNs are often used to help generate search results, to provide content suggestions, and for other common applications for internet services, relatively little research attention has been devoted to optimizing system …