With its electro-light tulip garden, disco ball-adorned trees and no stone-left-unturned music lineup, "Denmark's Most Beautiful Festival" aims to surpass guests' expectations on safety, comfort and entertainment, from its uncannily clean bathrooms down to its whimsical camp-in-a-beer-can glamping options. The Skanderborg Music Festival (aka "Smukfest"), located in the northern European country of Denmark, is no stranger to nature's mayhem and its impact on tens of thousands of battle-hardened party warriors. Though it takes place during the second weekend of August in a bedazzled eco-village village deep in a beechwood forest, the weather doesn't always comply. After 2018's sunbaked soiree, a veritable jester court of cloud-bursts in 2019 left lesser warriors stomping out early in their rain boots – leaving waiting oranges longing to fulfill their destiny as a vodka's partner in crime. Could those unpreventable forces be mitigated by data and AI?

WHAT: Computers are gradually thinking like humans thanks to the development of artificial intelligence networks capable of learning on their own, called "deep learning." These networks can already recognize images and play chess, for example. But in comparison to the human brain, deep learning can require up to 1,000 times more energy to perform the same functions. This means that if smart glasses used deep learning to recognize objects, the battery would last only 25 minutes, studies have shown. In a perspective paper published in Nature, Purdue University researchers recommend that deep-learning networks mimic electrical signals in the brain, called "spikes," to be more energy efficient.

And they're coming for your business -- with the power to build or destroy your ability to compete in the near future. "Those companies not considering investing and innovating will soon be outperformed by the new economy that runs on machine learning" Machine learning is already changing the world. As a key subset of artificial intelligence (AI), it enables computers to act and learn on their own, without being specifically programmed, by utilizing data and experience rather than being explicitly programmed. Self-driving cars, Netflix recommendations, and virtual personal assistants like Siri and Alexa are some of AI's best-known applications. One of the most immediate ways businesses use machine learning to improve their competitiveness is by automating back-office processes, the majority of which are high volume, rules-based functions that could seamlessly operate on a "lights out" basis, freeing up employees' time for achieving more strategic company objectives.

Contrast that with the broadest definition of what Hypergiant does in fact sell--artificial intelligence-enabled software and hardware--and you'll …

If you ever want to start an argument, ask someone whether artificial intelligence will destroy jobs or create them.

One of only two surviving prototypes of the original Apple Macintosh computer will go up for auction this week – at an asking price of £155,000. The prototype, which was made in 1983, features the aborted 5.25-inch'Twiggy' disk drive, and is going under the hammer at Bonhams in New York on Wednesday. The Macintosh began as a personal project of inventor Jef Raskin before the late Apple founder Steve Jobs took it over. The original plan was to use a 5.25-inch drive to greatly expand the capacity of standard floppy discs. But they proved unreliable, so a 3.5 inch drive, which was more robust and small enough to fit in a shirt pocket, was chosen instead for mass production.

Technology, in all its guises, is changing the way we live and what exactly it means to be humans. From artificial intelligence (AI) to cryptocurrency and e-commerce, CIOs and IT leaders must ensure they are helping their organisations adapt in this rapidly changing world. In Japan, a restaurant is trialling AI robotics technology to allow employees with limited mobility to remotely pilot robotic waiters. Companies such as JPMorgan Chase, Microsoft and Ford are hosting virtual career fairs tailored to the needs of neurodiverse candidates. Enterprise Rent-A-Car has implemented braille-reader technology into its booking system for blind employees.

Amazon Web Services likes to spice things up at its annual AWS re:Invent conference with unexpected hardware announcements, with past surprises such as a semi-truck for transporting data, a machine-learning camera, and a miniature self-driving race car. Now you can add a machine-learning-enabled musical keyboard to the list. Kicking off the event overnight in Las Vegas, the company introduced AWS DeepComposer, a 32-key, two-octave keyboard that the company holds up as an early example of "generative" artificial intelligence. "Generative AI is one of the biggest recent advancements in artificial intelligence technology because of its ability to create something new," Amazon explains on the AWS DeepComposer site. "It opens the door to an entire world of possibilities for human and computer creativity, with practical applications emerging across industries, from turning sketches into images for accelerated product development, to improving computer-aided design of complex objects."

To train your models and create new musical compositions, AWS DeepComposer is priced at $99, this includes the keyboard, plus a 3-month free trial of AWS DeepComposer services to train your models and create original musical compositions. Each month of the free trail includes enough to cover up to 4 training jobs and 40 inference jobs per month, during the free trial period.