An onboard computer watching your every move might sound like something out of 2001: A Space Odyssey. But now, a futuristic superyacht plans to use AI to learn what you want before you even realise it. Just like HAL 9000 from Stanley Kubrick's sci-fi classic, the ship's computer will spy on its passengers to learn more about their desires. Designed by the Italian shipyard Rossinavi, the 43-metre-long Solsea will use that information to tailor itself to the needs of individual guests. Rossinavi says that this onboard AI has been designed to make travel more comfortable and maximise the yacht's eco-friendly potential.

We are developing a forecaster for daily extremes of demand for electric power encountered in the service area of a large midwest(cid:173) ern utility and using this application as a testbed for approaches to input dimension reduction and decomposition of network train(cid:173) ing. Projection pursuit regression representations and the ability of algorithms like SIR to quickly find reasonable weighting vectors enable us to confront the vexing architecture selection problem by reducing high-dimensional gradient searchs to fitting single-input single-output (SISO) subnets. We introduce dimension reduction algorithms, to select features or relevant subsets of a set of many variables, based on minimizing an index of level-set dispersions (closely related to a projection index and to SIR), and combine them with backfitting to implement a neural network version of projection pursuit. The performance achieved by our approach, when trained on 1989, 1990 data and tested on 1991 data, is com(cid:173) parable to that achieved in our earlier study of backpropagation trained networks.

Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands. To address these challenges, a comprehensive scheduling framework is proposed by introducing a model-free deep reinforcement learning (DRL) approach based on modeling an island integrated energy system (IES). In response to the shortage of freshwater on islands, in addition to the introduction of seawater desalination systems, a transmission structure of "hydrothermal simultaneous transmission" (HST) is proposed. The essence of the IES scheduling problem is the optimal combination of each unit's output, which is a typical timing control problem and conforms to the Markov decision-making solution framework of deep reinforcement learning. Deep reinforcement learning adapts to various changes and timely adjusts strategies through the interaction of agents and the environment, avoiding complicated modeling and prediction of multi-uncertainties. The simulation results show that the proposed scheduling framework properly handles multi-uncertainties from power sources and loads, achieves a stable demand supply for various resources, and has better performance than other real-time scheduling methods, especially in terms of computational efficiency. In addition, the HST model constitutes an active exploration to improve the utilization efficiency of island freshwater.

The autonomous tractor world is heating up, apparently. CNH Industrial has unveiled what it says is the "first" electric light tractor prototype with self-driving features, the New Holland T4 Electric Power. The machine promises zero emissions, quieter operation than diesel models and (according to CNH) lower running costs while reducing the amount of time farmers spend behind the wheel. Sensors and cameras on the roof help the vehicle complete tasks, dodge obstacles and work in harmony with other equipment. You can even activate it from your phone.

Airstream is testing an electric travel trailer that could go off-grid for weeks at a time, park itself into a camping spot and help propel itself down the road. The trailer, called the eStream, would be the first electric-powered camper in the U.S., according to the company. "There's nothing like it in the industry," said Bob Wheeler, CEO and president of the Jackson Center, Ohio, company. Airstream introduced the trailer at an RV show in Tampa two weeks ago. PLAY WORDLE?:This is the best starting word to use, according to a math expert The 22-foot-long trailer, in Airstream's singular "silver bullet" design, would include batteries under the floor that would propel the trailer's two wheels, significantly reducing the power required to tow the trailer.

To kick off the Future Development blog in 2020, we present the fourth in a four-part series on the future of development. A couple of years ago, Vladimir Putin warned Russians that the country that led in technologies using artificial intelligence will dominate the globe. He was right to be worried. Russia is now a minor player, and the race seems now to be mainly between the United States and China. But don't count out the European Union just yet; the EU is still a fifth of the world economy, and it has underappreciated strengths.

A couple of years ago, Vladimir Putin warned Russians that the country that led in technologies using artificial intelligence will dominate the globe. He was right to be worried. Russia is now a minor player, and the race seems now to be mainly between the United States and China. But don't count out the European Union just yet; the EU is still a fifth of the world economy, and it has underappreciated strengths. Technological leadership will require big digital investments, rapid business process innovation, and efficient tax and transfer systems.

It could be the end of'heavy, noisy trucks with monstrous emissions'. A Swedish startup has unveiled a radical design for a driverless truck that runs entirely on electric power with a range of 124 miles on a single charge. Deemed'cargo with wheels', the'T-pod' is fully autonomous on highways and only needs human intervention when it exits onto local roads - and a human controls it remotely. A Swedish startup has unveiled a radical design for a driverless truck that runs entirely on electric power with a range of 124 miles on a single charge. Deemed'cargo with wheels', the'T-pod' is fully autonomous on highways and only needs human intervention on local roads T-Pod is driverless truck that runs entirely on electric power with a range of 124 miles on a single charge.

FROM avoiding jaywalkers to emergency braking to eventually, perhaps, chauffeuring the vehicle itself, it is clear that artificial intelligence (AI) will be an important part of the cars of the future. But it is not only the driving of them that will benefit. AI will also permit such cars to use energy more sparingly. Cars have long had computerised engine-management that responds on the fly to changes in driving conditions. The introduction of electric power has, however, complicated matters.