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Search Results for: autonomous driving

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.

The Quest for Objective Truth: Evolving from Opinions to Facts Using Machine Learning in Real Estate

In this contributed article, Anand Singh, a Senior Leader of Big Data Platform & Solutions at CoreLogic®, discusses how successfully drawing relevant conclusions from data requires human opinions and judgments to be accounted for and then suppressed through ML. Even as AI advances to recognize human emotions, this is one area where innovation may fare better without them.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – March 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

What Is the Future of AI? 3 Factors That Will Propel AI’s Data Evolution

In this special guest feature, Vatsal Ghiya, CEO and co-founder of Shaip, explores the three factors that he believes will allow data-driven AI to reach its full potential in the future: the talent and resources necessary to construct innovative algorithms, an immense amount of data to accurately train those algorithms, and ample processing power to effectively mine that data.

insideBIGDATA Latest News – 10/6/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Where Predictive Machine Learning Falls Short and What We Can Do About It

In this contributed article, technologist Bernard Brode takes a look at where prediction machine learning falls short, the implications of this, and what can be done about it. Machine learning often fails in unexpected ways, which makes managing the risks of deploying the technology difficult.

insideBIGDATA Latest News – 6/12/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

NVIDIA Ships New Advanced AI System — NVIDIA DGX A100: Third-Generation DGX Packs Record 5 Petaflops of AI Performance

NVIDIA today unveiled NVIDIA DGX™ A100, the third generation of the world’s most advanced AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform for the first time. Immediately available, DGX A100 systems have begun shipping worldwide, with the first order going to the U.S. Department of Energy’s (DOE) Argonne National Laboratory, which will use the cluster’s AI and computing power to better understand and fight COVID-19.

Conceptualizing the 2020’s: The Decade of the Internet of Things

In this contributed article, editorial consultant Jelani Harper highlights several lofty predictions about the number of connected devices in the IoT begin this year; many developments directly impacting its adoption rates will flourish in the coming 10 years, rendering it the premier expression of data management.

Why Databases are Failing the Modern Economy

In this contributed article, industry luminary Andrew “Flip” Filipowski discusses the state of database technology in terms of how in spite of the massive increase in demand for data, the industry never underwent a complete overhaul of the way databases work. Instead, programmers have used patchwork retrofitting to adjust databases to modern-day needs, solving problems with countless point solutions instead of rethinking the way databases work from the ground up.