Computers can beat chess champions, simulate star explosions, and forecast global climate. We are even teaching them to be infallible problem-solvers and fast learners. And now, physicists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) and their collaborators have demonstrated that computers are ready to tackle the universe's greatest mysteries. The team fed thousands of images from simulated high-energy particle collisions to train computer networks to identify important features. The researchers programmed powerful arrays known as neural networks to serve as a sort of hivelike digital brain in analyzing and interpreting the images of the simulated particle debris left over from the collisions.

We present a method to generate renewable scenarios using Bayesian probabilities by implementing the Bayesian generative adversarial network~(Bayesian GAN), which is a variant of generative adversarial networks based on two interconnected deep neural networks. By using a Bayesian formulation, generators can be constructed and trained to produce scenarios that capture different salient modes in the data, allowing for better diversity and more accurate representation of the underlying physical process. Compared to conventional statistical models that are often hard to scale or sample from, this method is model-free and can generate samples extremely efficiently. For validation, we use wind and solar times-series data from NREL integration data sets to train the Bayesian GAN. We demonstrate that proposed method is able to generate clusters of wind scenarios with different variance and mean value, and is able to distinguish and generate wind and solar scenarios simultaneously even if the historical data are intentionally mixed.

Breakthroughs in studies of the nervous system over the past centuries have been dramatic, with key findings in experimental and theoretical neuroscience. These breakthroughs have helped to understand important aspects of how the brain works, which also provides new inspiration for technology and artificial intelligence. Moreover, the continuous development of new automatic data and image processing methods that arise out of neuroscience and genetics experiments, control technology applied to neurophysiology experiments and the use of computational neuroscience to represent and integrate information, feeds back knowledge about the brain and creates new opportunities for interaction between the nervous system and computational intelligence paradigms, robotics, brain-machine interfaces and all sorts of prosthetic and augmented reality devices. Among the maze of disciplines and approaches that try to understand how the brain works, there is a multidisciplinary approach to Neuroscience which looks at the nervous system in terms of its function: processing information. Theoretical models and experiments draw on closed-loop technology to reveal aspects of neuronal dynamics which do not come under traditional experimental protocols, hybrid circuits comprising live neurons and artificial neurons in a bidirectional interaction, behavior experiments with activity-dependent stimulation, and new protocols to personalize brain-machine interfaces.

We are on the brink of a simmering industrial revolution where IOT sometimes feels like an alchemical sorcerer's stone that could turn anything into gold. Industrial Internet of Things or IIOT actually does have solutions to a lot of problems faced by the industry and beyond but faces its own unique challenges too.

Thu 1 Feb 2018 02.00 EST Last modified on Thu 1 Feb 2018 02.01 EST The Ring Video Doorbell 2 adds the convenience of a front-door intercom to pretty much any home, and with minimal DIY skills required, meaning it's never been easier to get rid of doorsteppers. There have long been wifi-connected doorbells, for those envious of flat-dwelling friends with video intercoms adding that extra barrier between them and the outside world, but most of them require some sort of wiring to install. The Ring Video Doorbell 2 has a rechargeable battery, which means there's no need to wire it into the mains or a low voltage circuit. But is a rechargeable video doorbell actually any good? The Ring Video Doorbell 2 is essentially a big battery-powered doorbell with a camera in the top of it, which video calls your phone or tablet when someone presses the button.

Computers can beat chess champions, simulate star explosions, and forecast global climate. They are also being trained as infallible problem-solvers and fast learners. And now, physicists at the U.S. Department of Energy's Lawrence Berkeley National Laboratory and their collaborators have demonstrated that computers are ready to tackle the universe's greatest mysteries. The team used thousands of images from simulated high-energy particle collisions to train computer networks to identify important features. The researchers programmed powerful arrays known as neural networks to serve as a sort of hive-like digital brain in analyzing and interpreting the images of the simulated particle debris left over from the collisions.

If the history of human advancement has taught us one thing it is this: genuine step-change progress does not occur because of a single technology breakthrough, but a combination of multiple complementary factors coming together at the same time. The Industrial Revolution, which began around 1760, was driven by an amalgamation of steam power, improvements in iron production and the development of the first machine tools. Similarly, the PC revolution of the early 1970's was the outcome of simultaneous advancements in micro-processing, memory storage, software programming and other factors. Now, as we enter 2018, we are at the cusp of a new revolution, one that will ultimately transform every organisation, every industry and every public service across the world. The concept of AI is not new.

A version of this article appeared in the Autumn 2017 issue of strategy business. It isn't often that the broad infrastructure that underlies industrial civilization undergoes a dramatic transformation. But just such a change appears to be happening now. In a great wave of technological change, sensors are spreading through factories and warehouses, software is predicting the need for maintenance before a machine breaks down, power grids and loading docks are becoming intelligent, and custom-designed parts are being produced on demand. The leaders of the next industrial revolution are companies making advances in fields such as robotics, machine learning, digital fabrication (including 3D printing), the Industrial Internet, the Internet of Things (IoT), data analytics and blockchain (a system of decentralized, automated transaction verification).

As we bid farewell to cold, frosty January and welcome slightly-less-cold February, we're banging our heads against earnings season. Samsung and Nintendo both have good news for shareholders and fans, and there's a special Super Blue Blood Moon lunar eclipse happening this morning -- tune in live to see its peak at 8:29 AM ET. Like everyone expected, but in half the time.Nintendo Switch sales have surpassed the Wii U Nintendo had a stellar holiday quarter, shifting 7.23 million Switch consoles and bringing lifetime sales to 14.86 million already. In short, the company almost doubled its user-base in a single three-month period. The Wii U, for comparison, sold 13.56 million total -- a paltry sum in comparison to the Wii's 101.63 million units.

Artificial intelligence is being applied to almost every industry in efforts to improve operations and trim costs. Here's how early efforts are already benefitting the wind industry. The world is entering the early stages of a technology revolution called artificial intelligence (AI). It is showing an impact in many different fields such as image recognition, fraud detection, and self-driving cars, to name a few. Machine learning techniques have resulted in remarkable performance improvements in each field to which it has been applied.