The company is accomplishing this by pairing its multimaterial inkjet 3D printer with machine-vision and machine–learning systems.

The use of Artificial Intelligence (AI) is made possible by the development of technology.

Kolkata: Now, bots and artificial intelligence too will join efforts to preserve the Gandhian legacy.

The growth of ecommerce in the recent past can only be described as explosive and sweeping across the planet. According to a 2016 study, half of all dollars spent online in America belong to Amazon. And consider this, Recommendation Engines alone drive 35% of that revenue. But it is not ecommerce alone that's reaping the huge benefits that recommendation engines have to offer. Direct to device streaming services such as Netflix, Spotify among others, analyze user behavior almost to a micro moment level, then gather data surrounding similar users who are likely to buy the same items based on their browsing history, and provide that much needed nudge to move on to the next purchase on the platform.

New South Wales in Australia has rolled out high-definition cameras to catch people using their cellphones while driving, according to media reports. The technology is intended to target illegal use of cellphones through fixed and mobile trailer-mounted cameras, New South Wales Minister for Roads Andrew Constance was quoted as saying by the CNN. The cameras use artificial intelligence to scan images and zero in on the offenders. The identified images will be verified by authorised personnel, and the images will be securely stored and managed, authorities said. As many as 45 portable cameras will be set up across the Australian state at unknown locations and without warning signs in the next three years, CNN affiliate Sky News Australia reported.

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.