Artificial Intelligence
Artificial intelligence makes more agreeable cities
Artificial intelligence can be of great assistance in urban planning, urban design and architecture. AI drives predictive tools and computational modeling to improve the quality of city living via complex adaptive systems, which is part of a methodology that is still incipient in architecture and urbanism but that, in Brazil, is already in use for an initial urban volumetric modeling project.
Deep learning helps detect cracks in nuclear reactors
A system under development at Purdue University uses artificial intelligence to detect cracks captured in videos of nuclear reactors and represents a future inspection technology to help reduce accidents and maintenance costs. "Regular inspection of nuclear power plant components is important to guarantee safe operations," said Mohammad R. Jahanshahi, an assistant professor in Purdue's Lyles School of Civil Engineering.
Living on the edge with AI
As Richard Kingston, VP, Market Intelligence, CEVA explains, we have entered the fourth Industrial Revolution. And, like the three that went before it (mechanisation; mass production and electricity; computers and automation), Industry 4.0 is set to change the way we live.
AI tool converts browsers into buyers
Do you often find yourself browsing online, but not actually buying anything? Ninety-eight percent of people who visit a website never make a purchase. That means in today’s ultra-competitive online retail market, marketers are spending valuable pounds following consumers around the internet and retargeting them with ads for items they will never buy. But thanks to Optimove, the science-first relationship marketing hub, marketers will ...
Bringing autonomous-driving vehicles to market faster
Renesas Electronics has announced that its automotive technologies will drive Toyota Motor Corporation’s autonomous vehicles, which are presently under development and scheduled for commercial launch in 2020. Selected by Toyota and Denso Corporation, Renesas’ autonomous-driving vehicle solution for Toyota’s autonomous vehicles combines the R-Car SoC, which serves as an electronic brain for in-vehicle infotainment and ADAS, and t...
AI-based imaging service designed with higher capacity for Big Data
Kyocera has announced that its subsidiary, Kyocera Communication Systems, will launch three new fee-based plans for Labellio, its online image classifying service which enables users to quickly and easily classify digital images by using Artificial Intelligence (AI)-powered deep learning technology - without the need for programming or deep learning expertise. The new service plans will be available on 30th October.
AI-powered video analytics technology on show at Milipol 2017
Developer of software and hardware accelerated solutions for advanced AI and machine learning applications, BrainChip Holdings, has announced that it will be exhibiting at Milipol 2017 in Paris, France, from 21st to 24th November. Milipol Paris is one of the largest homeland security conferences, attracting over 24 thousand visitors from 143 countries. It is organised by the French Ministry of Interior in partnership with other governme...
It's almost driverless in California
With few exceptions, the otherwise permissive states for self-driving car testing have prohibited the operation of autonomous vehicles on public roads without a human supervisor in the front seat. It's not hard to understand why. Author: Sam Chase, The Connected Car
Taking AI to new depths
After being selected to join the NVIDIA Inception Programme, UK-based subsea company Rovco has announced plans to take AI to new depths. Designed to nurture startups that are revolutionising industries with advances in AI and data science, the virtual incubator programme supports members overcome critical stages of product development, prototyping, and deployment.
Duo deliver 20 times more AI performance for edge devices
Licensor of signal processing IP for smarter, connected devices, CEVA, and Broadmann17, a developer of patent-pending deep learning technology, have announced a partnership aimed at accelerating the deployment of deep learning computer vision in mainstream applications. Through the partnership, CEVA and Brodmann17 bring an order of magnitude increase in performance and power efficiency for deep learning in edge devices compared to the leading GPU...