Artificial Intelligence

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Report warns of the malicious use of AI in the coming decade

Report warns of the malicious use of AI in the coming decade
Twenty-six experts on the security implications of emerging technologies have jointly authored a report sounding the alarm about the potential malicious use of AI by rogue states, criminals, and terrorists. Forecasting rapid growth in cyber-crime and the misuse of drones during the next decade, the report is a clarion call for governments and corporations worldwide to address the clear and present danger inherent in the myriad applications of AI.
21st February 2018

Researchers examine 1,000 years of English

Researchers examine 1,000 years of English
Evidence suggests that the interface between humans and technology will only become more central to modern life. For humans to be able to extract meaningful information from the troves of data being collected by the 'smart' machines with which we interact--such as mobile phones-- computers need to be able process language like humans. The branch of artificial intelligence that addresses this need is called natural language processing.
20th February 2018

Brain-inspired tech brings data processing to IoT devices

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.”
16th February 2018


Chip reduces neural networks’ power consumption by up to 95%

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.
14th February 2018

To be young, gifted, and black in the eyes of AI

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%.
13th February 2018

How to make smarter investments in automation

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 automation investments.
13th February 2018

Smart systems - one step closer to artificial intelligence

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.
13th February 2018

Report forecasts impact of machine learning to 2030

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, while the third assumed insufficient policy support for structural changes in the economy.
8th February 2018

EIU report forecasts impact of machine learning to 2030

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 productivity through upskilling and greater investment in technology and access to open source data, while the third assumed insufficient policy support for structural changes in the economy.
5th February 2018

AI module monitors and optimises industrial operations

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 Houston.
2nd February 2018


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