In the industrial world, and specifically the energy sector, the amount of connected devices, sensors and machines is continuously growing, resulting in the internet of energy, or IoE. IoE can be broadly defined as the upgrading and automating of electricity infrastructures, making energy production more clean and efficient, and putting more power in the hands of the consumer. Given the vast amount of data the energy sector generates and the increasing number of sensors added, it is the perfect environment for machine learning applications. Artificial intelligence (AI) excels at finding subtle patterns in data sets of all shapes and sizes, particularly under complex or changing conditions. Although data within IoE is growing at exponential rates, much of that data is traditionally siloed across business units (generation, transmission and distribution, energy trading and risk management, and cybersecurity).
Robotic vehicles have been used in dangerous environments for decades, from decommissioning the Fukushima nuclear power plant or inspecting underwater energy infrastructure in the North Sea. More recently, autonomous vehicles from boats to grocery delivery carts have made the gentle transition from research centres into the real world with very few hiccups. Yet the promised arrival of self-driving cars has not progressed beyond the testing stage. And in one test drive of an Uber self-driving car in 2018, a pedestrian was killed by the vehicle. Although these accidents happen every day when humans are behind the wheel, the public holds driverless cars to far higher safety standards, interpreting one-off accidents as proof that these vehicles are too unsafe to unleash on public roads.
Ferrari has already made cars with hybrid powertrains, but during its Annual General Meeting this week, acting CEO John Elkann told investors in prepared remarks (PDF) that the carmaker will unveil "the first all-electric Ferrari" in 2025. Hopefully that plan will hold even after the company confirms a new CEO -- over the past decade execs have said Ferrari will never build an EV, will be the first with an electric supercar, or that an electric Ferrari will not arrive until after 2025. We are continuing to execute our electrification strategy in a highly disciplined way. And our interpretation and application of these technologies both in motor sport and in road cars is a huge opportunity to bring the uniqueness and passion of Ferrari to new generations. As you would expect, we have started by setting the bar high.
An emission-free'nuclear powered' 984ft-long science exploration vessel, as large as the world's longest cruise ship will launch in 2025 with 22 cutting edge laboratories and over 400 people on board. The Earth 300 vessel has been designed to'unite science and exploration to confront Earth's greatest challenges,' according the founder of Iddes Yacht, manufacturer of the ship, Salas Jefferson, who says it will cater for about 160 scientists at one time. The ship will be packed with green technology, a'science sphere', and will be powered by a Molten Salt Reactor, a type of nuclear power generator that uses molten fluoride salts as a coolant and operates at low pressure. When launched, it will act as an'extreme technology platform for science, exploration and innovation at sea', according to Iddes, who say its 22 laboratories will be equipped with robotics and artificial intelligence systems. An emission-free'nuclear powered' 984ft-long science exploration vessel, as large as the world's longest cruise ship will launch in 2025 with 22 cutting edge laboratories and over 400 people on board The Iddes Yacht vessel has been designed to'unite science and exploration to confront Earth's greatest challenges,' according founder Salas Jefferson, who says it will cater for about 160 scientists at one time The ship will be packed with green technology, a'science sphere', and will be powered by a Molten Salt Reactor, a type of nuclear power generator that uses molten fluoride salts as a coolant and operates at low pressure Featuring naval architecture by the NED Project, Earth 300 will introduce'features found on cruise, expedition, research and luxury yachts but she will be none of them,' said Earth 300 chief executive Aaron Olivera. The firm behind the design say it will have a'science city' inside a huge sphere, an observation deck and an interior dedicated to scientific research and expedition.
Laid waste by a nuclear disaster a decade ago, Fukushima Prefecture is still struggling to recover, even as the government tries to bring people and jobs back to former ghost towns by pouring in trillions of yen to decontaminate and rebuild. But reconstruction efforts, from the mundane -- supermarkets and transport infrastructure -- to a cutting-edge hydrogen energy plant, have yet to entice more than a small fraction of the former population to return. As the country marks the 10th anniversary of the March 11, 2011 earthquake, tsunami and nuclear meltdown, parts of the prefecture are still off limits, and it remains a laggard in recovery. Its future is clouded by the 30 to 40 years it may take to decommission the crippled Fukushima No. 1 nuclear plant, near which massive amounts of treated radioactive water are in storage. The town of Namie, where a stone monument lists about 200 townspeople who died in the tsunami, emptied out overnight following the accident at the nuclear plant about 8 kilometers south.
Using AI for knowledge management is a great way to industrialise years of innovation on a company-wide level, writes Dr Warrick Cooke, Consultant at Tessella. An engineer who has worked in the same place – a factory, oil rig, nuclear power plant – for 20 years will be an expert in that facility. Their been-there-done-that experience means they can quickly make good decisions on the best response to a wide range of scenarios. That knowledge would be hugely valuable to others. It is also knowledge that will be lost when they move on.
Fukushima – A robot created by a team from a technology college in northeastern Japan recently won the top prize in a robotics competition that had the theme of decommissioning the Fukushima No. 1 nuclear power plant. The Mehikari robot of Fukushima College earned praise for its speed as well as ability to employ different methods to retrieve mock debris similar in size to that at the plant, the site of a nuclear disaster triggered by a massive earthquake and tsunami on March 11, 2011. The robot completed the set task in about 2 minutes, the fastest time, in the annual competition aimed at fostering future engineers that was attended by students from 13 colleges belonging to the National Institute of Technology. Sunday's competition was the fifth of its kind. Students in 14 teams from the colleges across the country such as in Osaka and Kumamoto prefectures were tasked this year with developing robots to remove fuel debris from the plant, organizers said.
Cyber-physical systems (CPS) and Internet-of-Things (IoT) devices are increasingly being deployed across multiple functionalities, ranging from healthcare devices and wearables to critical infrastructures, e.g., nuclear power plants, autonomous vehicles, smart cities, and smart homes. These devices are inherently not secure across their comprehensive software, hardware, and network stacks, thus presenting a large attack surface that can be exploited by hackers. In this article, we present an innovative technique for detecting unknown system vulnerabilities, managing these vulnerabilities, and improving incident response when such vulnerabilities are exploited. The novelty of this approach lies in extracting intelligence from known real-world CPS/IoT attacks, representing them in the form of regular expressions, and employing machine learning (ML) techniques on this ensemble of regular expressions to generate new attack vectors and security vulnerabilities. Our results show that 10 new attack vectors and 122 new vulnerability exploits can be successfully generated that have the potential to exploit a CPS or an IoT ecosystem. The ML methodology achieves an accuracy of 97.4% and enables us to predict these attacks efficiently with an 87.2% reduction in the search space. We demonstrate the application of our method to the hacking of the in-vehicle network of a connected car. To defend against the known attacks and possible novel exploits, we discuss a defense-in-depth mechanism for various classes of attacks and the classification of data targeted by such attacks. This defense mechanism optimizes the cost of security measures based on the sensitivity of the protected resource, thus incentivizing its adoption in real-world CPS/IoT by cybersecurity practitioners.
Center for Security Policy CEO Fred Fleitz provides insight on'America's News HQ.' DUBAI, United Arab Emirates (AP) -- Iran said Saturday it plans to enrich uranium up to 20% at its underground Fordo nuclear facility "as soon as possible," pushing its program a technical step away from weapons-grade levels as it increases pressure on the West over the tattered atomic deal. The move comes amid heightened tensions between Iran and the U.S. in the waning days of the administration of President Donald Trump, who unilaterally withdrew America from Tehran's nuclear deal in 2018. That set in motion an escalating series of incidents capped by a U.S. drone strike that killed a top Iranian general in Baghdad a year ago, an anniversary coming Sunday that has American officials now worried about possible retaliation by Iran. Iran's decision to begin enriching to 20% a decade ago nearly brought an Israeli strike targeting its nuclear facilities, tensions that only abated with the 2015 atomic deal. A resumption of 20% enrichment could see that brinksmanship return.
The operator of the Fukushima No. 1 nuclear power plant, which suffered core meltdowns in 2011, has decided to delay the removal of nuclear debris by about one year from 2021 due to the coronavirus pandemic, sources said Wednesday. The process of removing the melted fuel, the most difficult part of cleaning up the facility, was to begin at the No. 2 reactor in 2021, but the virus spread has stalled tests in the U.K. of a robot arm that is to be used for the removal, the sources said. Of the Nos. 1 to 3 reactors that experienced meltdowns following a massive earthquake and tsunami, the removal procedure was to start at the No. 2 unit because the operator, Tokyo Electric Power Company Holdings Inc., had the best grasp of its internal condition, they said. Tepco had planned to insert a robot arm into the unit's containment vessel, from which it would initially extract around 1 gram of the debris at a time, then gradually expand the amount as it works toward removing several kilograms a day. The company was originally scheduled to verify in August the viability of the robot arm in the U.K. and transfer the equipment to Japan in February 2021 so that workers could start training with it.