Artificial Intelligence
Brain-inspired tech brings data processing to IoT devices
A forward-looking call to action for the microelectronics industry has been issued by CEA-Leti’s chief scientist to create a radically new, digital-communication architecture for the Internet of Things in which “a great deal of analytics processing occurs at the edge and at the end devices instead of in the Cloud.”
Chip reduces neural networks’ power consumption by up to 95%
Most recent advances in artificial-intelligence systems such as speech- or face-recognition programs have come courtesy of neural networks, densely interconnected meshes of simple information processors that learn to perform tasks by analysing huge sets of training data. But neural nets are large, and their computations are energy intensive, so they’re not very practical for handheld devices.
To be young, gifted, and black in the eyes of AI
Three commercially released facial-analysis programs from major technology companies demonstrate both skin-type and gender biases, according to a new paper researchers from MIT and Stanford University will present later this month at the Conference on Fairness, Accountability, and Transparency. In the researchers’ experiments, the three programs’ error rates in determining the gender of light-skinned men were never worse than 0.8...
National Instruments technical innovation award goes to ADAS iiT
National Instruments (NI) has honoured the 'ADAS iiT Consortium - Innovation in Test' with its 2018 Technical Innovation Award. The prize is awarded to partner companies who employ new NI technologies at an early stage, thereby reflecting their roles as early adopters who promote innovation in particular.
How to make smarter investments in automation
Highlighted in the Government’s Made Smarter Review, Industrial Digitalisation Technologies (IDTs) are transforming the manufacturing industry - that’s Artificial Intelligence (AI), 3D printing, intelligent software, virtual reality and robotics. Nigel Smith, Managing Director at TM Robotics, explains why manufacturers in Britain shouldn’t blindly invest in IDTs and instead, should use Made Smarter to make smarter automatio...
Smart systems - one step closer to artificial intelligence
Several new features have been developed for Kurtz Ersa North America's selective solder equipment, including VERSASCAN, VERSAEYE and Ersa CAD Assistant 4. The VERSASCAN module can look at boards being presented to the machine and confirm if all of the components are on the board and if the polarity is correct before they enter the machine.
Report forecasts impact of machine learning to 2030
A new study released by The Economist Intelligence Unit ran three econometric scenarios to 2030 on five countries - the United States, the United Kingdom, Australia, Japan - and developing Asia as a whole. In Risks and rewards: Scenarios around the economic impact of machine learning, commissioned by Google, two scenarios assumed greater human productivity through upskilling and greater investment in technology and access to open source data...
Taking the driver out of the factory
In the 1993 science fiction film, Jurassic Park, visitors could take a tour in an autonomous Ford Explorer that used tracks on the ground to navigate. This was a good prediction of future technological advancements, but the autonomous vehicles of today are far more advanced than the Jurassic Explorer. Jonathan Wilkins, Marketing Director of EU Automation, explains how autonomous vehicles are beginning to transform the manufacturing industry.
EIU report forecasts impact of machine learning to 2030
The Economist Intelligence Unit has recently released a new study which ran three econometric scenarios to 2030 on five countries; the US, the UK, Australia, Japan and developing Asia as a whole about machine learning and artificial intelligence. Commissioned by Google, a paper has been released on the study, ‘Risks and rewards: Scenarios around the economic impact of machine learning’ shows two scenarios assumed greater human pr...
AI module monitors and optimises industrial operations
In order to create diagnostic analytics solutions in industrial operations, we have long required expert data scientists with a deep understanding of the specific application to be analysed. Those experts then require weeks, months or even years to understand and model the system. That expertise has been boxed in the new Project Sherlock artificial intelligence (AI) module unveiled today by Rockwell Automation at their Automation Fair event in Ho...