Search Results for: autonomous driving

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.

Evolution of AI in Software Development: Shifting from Co-pilot to an Autopilot

In this contributed article, Janne Saarela, a Strategy Analyst at JFrog, highlights parallels between autonomous driving and software development, showcasing a shared evolution towards reduced human involvement through automation.

Video Highlights: Scalable Object Detection with DETR

Object detection is a central problem in computer vision and underpins many applications from medical image analysis to autonomous driving. This video presentation will start with a tutorial on object detection covering basic concepts and techniques. Then we will dive into an interactive session where you will implement a recent method introduced by Facebook called DEtection TRansformers (DETR) and learn how to use Determined’s integrated deep learning platform to easily train models for object detection at scale.

Heard on the Street – 4/25/2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data Industry Predictions for 2024

Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2024. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives.

DDN is a Leading Data Storage Company Behind the Machine Learning and Generative AI Explosion

DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced that it has sold more AI storage appliances in the first four months of 2023 than it had for all of 2022. Broad enthusiasm for the business opportunities presented by generative AI has resulted in a steady increase in investment in AI and AI infrastructure.

NTT and the University of Tokyo Develop World’s First Optical Computing AI Using an Algorithm Inspired by the Human Brain

NTT Corporation (President and CEO: Akira Shimada, “NTT”) and the University of Tokyo (Bunkyo-ku, Tokyo, President: Teruo Fujii) have devised a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations. This breakthrough will lead to a reduction in power consumption and computation time for AI.

Chung-Ang University Researchers Develop Algorithm for Optimal Decision Making under Heavy-tailed Noisy Rewards

Researchers from South Korean Chung-Ang University propose methods that theoretically guarantee minimal loss for worst case scenarios with minimal prior information for heavy-tailed reward distributions.

Data Sovereignty Extends Beyond Real Data

In this special guest feature, Omar Ali Fdal, CEO at Statice, discusses how data sovereignty does not obstruct innovation. Rather, it enables us to become even more independent and control our digital assets. And synthetic data has a big role to play in this transformation.