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Search Results for: autonomous driving

Solutions for Autonomous Driving – From Car to Cloud

From car to cloud―and the connectivity in between―there is a need for automated driving solutions that include high-performance platforms, software development tools, and robust technologies for the data center. With Intel GO automotive driving solutions, Intel brings its deep expertise in computing, connectivity, and the cloud to the automotive industry.

The 3 Questions Driving the Future of AI

In this special guest feature, Dr. Eli David, PhD, Co-founder of DeepCube, highlights the 3 questions driving the future of AI. From challenges in computational requirements, to high costs, and the technical limitations of bringing deep learning models to the edge, AI still has significant progress to be made in order to realize real-world deployments at scale.

Big Data and The Future of Driving

In this contributed article, Magnolia Potter discusses how the human mind has been singularly responsible for making decisions about automobile design, manufacturing and safety regulations. The influx of big data, however, coupled with the enhanced computing capabilities and constant connectivity of AI technologies, has changed the game. These technological developments have surpassed the capabilities of the human mind and revolutionized the world of driving. From city design to manufacturing, here, we will explore how big data is used to make important driving-related decisions.

Human-AI Collaboration and Autonomous Vehicle Research

It’s wonderful to see when members of the big data ecosystem team up large industry players for some late-breaking research results. Case in point, our friends over at DarwinAI recently revealed significant research results in a joint paper with German auto manufacturer Audi. The paper is titled “Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving.” The research focuses on how human-machine collaboration accelerates the design of compact deep neural networks for autonomous driving.

Big Data and the Future of Self-Driving Cars

In this contributed article, freelance human Avery Phillips believes the ever-approaching advent of the era of self-driving cars continues to remain several years in the future. The question is, where are we in the process of developing self-driving cars, and how does big data play a role currently as well as in the future of the autonomous transportation industry?

Big Data’s Role in Self-Driving Car Development

In this contributed article, Magnolia Potter indicates how big data is changing industries worldwide, and deep learning is contributing to the progress towards fully autonomous vehicles. Although it will still be several decades before the mass adoption of self-driving cars, the change will slowly but surely come. In only a few decades, we’ll likely be living in a time where cars are a safer form of transportation, and accidents are tragedies that are few and far between.

New Update for Oracle Autonomous Database to Secure Data and Accelerate Innovation

Today Oracle previewed significant new capabilities and deployment options for Oracle Autonomous Database. The new features illustrate Oracle’s continuing commitment to its global cloud customers, who rely on the database to run their mission-critical systems.

AI Technology and the Critical Role People Will Play in Driving AI Forward

In this special guest feature, Mark Sears, Founder and CEO at CloudFactory, provides a few ways people are involved in making AI-powered systems work better, faster and more accurately. Advances in AI and other disruptive technologies don’t just happen. They take well-trained, tech-savvy people who can process massive amounts of data quickly and accurately to help companies get solutions to market, or scale a critical data process fast.

Driving Reliability and Improving Maintenance Outcomes with Machine Learning

In this special guest feature, Mike Brooks, Senior Business Consultant at AspenTech, discusses how companies can no longer rely solely on traditional equipment maintenance practices but must also incorporate operational behaviors in deploying data-driven solutions using machine learning.

Neurala Enables Developers to Quickly Add Powerful AI Software Into Drones, Self-Driving Cars, Cameras, Toys and Other Products

Product developers can significantly accelerate the deployment of AI applications without a team of Ph.D. researchers, an extensive evaluation of different tools or years of costly R&D with the Neurala Developers Program, announced today by Neurala. Neurala makes The Neurala Brain, a deep learning neural networks platform that is making smart products like toys, cameras and self-driving cars more autonomous, interactive and useful.