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.

Dremio Revolutionizes Lakehouse Analytics with Breakthrough Autonomous Performance Enhancements

Dremio, the unified lakehouse platform for self-service analytics and AI, announced a breakthrough in data lake analytics performance capabilities, extending its leadership in self-optimizing, autonomous Iceberg data management. By accelerating outcomes and eliminating complexity with new market-leading features, Dremio enables organizations to reduce total cost of ownership (TCO) and time-to-business-insight.

How Private Networks Are Driving the Data-Powered Enterprise of Tomorrow

In this contributed article, Ana Redondo, Product Strategy Lead at Amdocs Technology, explores how enterprises will begin shifting their focus in 2024 to better leverage their data analytics. She explains how this shift in mindset will bring forth an upcoming data revolution. Including how the reservoirs of data, from legacy to next-gen operational technology systems, combined with the troves from the Edge and Network, will provide a new level of insights for enterprises.

Navigating Driver Privacy and Safety of Electric Vehicles, Self-Driving Vehicles

A growing number of connected electric vehicles, as well as the evolution of self driving and automated vehicles are putting a greater demand on processing power. New technologies are advancing rapidly with the introduction of new processing methods, according to experts at BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology.

Why Autonomous AI is (finally) Disrupting Corporate Finance for Good

In this special guest feature, Kunal Verma, CTO and Co-Founder of AppZen, discusses how technology like RPA and AI are having their breakout moments as company leaders realize they are no longer nice to have, but a business-critical tool to stay ahead of the competition.

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.