In Europe, 51 per cent of top global manufacturers use at least a single use case of AI in their operations. New Delhi: Europe is leading the implementation process of artificial intelligence (AI) in the manufacturing sector, claims a study by Capgemini Research Institute. More than half of European manufacturers are implementing AI use cases in the sector with Germany as the frontrunner. In Europe, 51 per cent of top global manufacturers use at least a single use case of AI in their operations. While, in Germany, 69 per cent of manufacturers are using AI in their operations, compared to 28 per cent in the US and 11 per cent in China, reveals the study.

Meaningful artificial intelligence (AI) deployments are just beginning to take place, according to Gartner, Inc. Gartner's 2018 CIO Agenda Survey shows that four percent of CIOs have implemented AI, while a further 46 percent have developed plans to do so. "Despite huge levels of interest in AI technologies, current implementations remain at quite low levels," said Whit Andrews, research vice president and distinguished analyst at Gartner. "However, there is potential for strong growth as CIOs begin piloting AI programs through a combination of buy, build and outsource efforts." As with most emerging or unfamiliar technologies, early adopters are facing many obstacles to the progress of AI in their organizations. Gartner analysts have identified the following four lessons that have emerged from these early AI projects.

However, researchers at the University of Michigan are claiming the first memristor-based programmable computer that has the potential to make AI applications more efficient and faster. Because memristors have a memory, they can accumulate data in a way that is common for -- among other things -- neural networks. The chip has both an array of nearly 6,000 memristors, a crossbar array, along with analog to digital and digital to analog converters. In fact, there are 486 DACs and 162 ADCs along with an OpenRISC processor. According to the paper, the chip turned in 188 billion operations per second per watt while consuming about 300 mW of power.

Finland is offering a wildly popular Elements of Artificial Intelligence online course to all EU citizens for free. The initiative was launched to mark the approaching end of Finland's presidency of the Council of the EU. The Finnish Ministry of Economic Affairs and Employment will finance the project, which was valued at 1.7 million euros. The Finnish government announced that the goal of the project is to attract one per cent of EU citizens or five million people to complete the course in 2020 and 2021. The offer of the online programme represents an innovative way to say goodbye to more traditional gifts such as books or scarves.

A new nuclear war simulator program will allow users to see the extraordinary and far-reaching consequences of global nuclear war. Developed by German engineer Ivan Stepanov, Nuclear War Simulator will be available to the public in early 2020. The program will let users plan not just a single nuclear detonation, but hundreds of them all around the world, simulating how a nuclear war might break out from smaller regional conflicts. In an interview with Motherboard, Stepanov said the goal of the project was to'raise awareness of the dangers that nuclear weapons present to our society.' The program presents an interactive 3D model of the Earth, which users can rotate and zoom in and out of to locate targets.

Cars with built-in artificial intelligence (AI) systems that alert drivers or slow down when they are getting drowsy or distracted will start being rolled out from 2022. Engineering firm Bosch is developing an'interior monitoring system' which uses cameras built into a car's steering wheel and rear-view mirror to watch motorists. The AI will also keep an eye on passengers, warning of unfastened seat-belts and adjusting safety devices like airbags and belts to match how they sit. Past research has estimated that around one in ten car accidents are caused by either drivers being distracted or feeling drowsy. 'If the car knows what its driver and occupants are doing, driving will become safer and more convenient,' said Bosch board member Harald Kroeger.

NASA has selected the site for its asteroid sample collection mission from the four previously-proposed candidates after a year of study. The spinning-top-shaped asteroid, '101955 Bennu', is a 1,614 feet (492 m) wide near-Earth object with a cumulative 1-in-2,700 chance of hitting Earth from 2175–2199. The chosen primary sample site -- dubbed'Nightingale' -- is located in a young crater high up in the asteroid's northern hemisphere. The Origins, Spectral Interpretation, Resource Identification, Security, Regolith Explorer -- or OSIRIS-Rex -- craft has been analysing Bennu since December 2018. If successful in its mission, OSIRIS-Rex will be the first US spacecraft to return samples of an asteroid to the Earth for analysis. For NASA researchers, Bennu will act like a time-capsule from the birth of the solar system, containing information on its formation and evolution.

GBT Technologies is a development-stage company, native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI) enabled mobile technology platforms. As Artificial Intelligence (AI) becomes increasingly visible in the popular imagination through applications such as virtual assistants, computer vision, natural language processing and self-driving cars, companies are unsurprisingly expanding their IP (intellectual property) portfolios to keep pace. According to the World Intellectual Property Organization (WIPO), "Since that time, innovators and researchers have published over 1.6 million AI-related scientific publications and filed patent applications for nearly 340,000 AI-related inventions." The report from WIPO looks at growth trends in AI, and specifically AI-related application patents. According to the research, machine learning (ML) is mentioned in 40 percent of all AI-related patents, while deep learning represents the "fastest growing technique in AI, with a 175 percent increase [from 2013 to 2016]."

Just a few days ago I found some old Neural Market Trends posts that I archived when I switched between blogging platforms. These were mostly about my Stock and Forex trading using AI (aka Machine Learning). While I was more lucky than right w.r.t. to AI in a strong trending market, the posts serves as a good reminder of the longterm investing strategy. I traded the EWM ETF back in April 2007. You can see it was in a nice upward trend and was trading last at $11.80.

Researchers working in The N.1 Institute for Health at the National University Of Singapore (NUS), led by Assistant Professor Camilo Libedinsky from NUS Psychology, and Senior Lecturer Shih-Cheng Yen from the Innovation and Design Programme at NUS Engineering, have discovered that a population of neurons in the brain's frontal lobe contain stable short-term memory information within dynamically-changing neural activity. This discovery may have far-reaching consequences in understanding how organisms have the ability to perform multiple mental operations simultaneously, such as remembering, paying attention and making a decision, using a brain of limited size. The results of this study were published in the journal Nature Communications on 1 November 2019. In the human brain, the frontal lobe plays an important role in processing short-term memories. Short-term memory has a low capacity to retain information.