With Artificial Intelligence and Machine Learning becoming an integral part of every enterprise's digital journey, the choice of a deep learning framework is critical for mission success. Unlike traditional analytical programs, deep learning frameworks are made up of neural networks. They need massive amounts of labeled data, high-power computing environments and complicated data models with countless parameters. To make things easier, there are several deep learning frameworks available today that help in data extraction, classification, and processing for achieving business objectives. Each deep learning framework has a different offering in place which makes it a perfect fit for one scenario while a wrong choice for others.

The e-commerce industry has evolved into one of the most competitive and crowded spaces. With so many e-commerce platforms to choose from, retaining the customer in your business is becoming all the more difficult by the day. Thankfully, we have technological advancements that can help you better serve your customers and grow your business. Yes, we are talking about machine learning in e-commerce. Machine learning is a subset of artificial intelligence that has created immense value for retailers today.

A new artificial intelligence technology that will help cardiologists to fit stents faster and with more precision will be used to treat heart attack patients across the country. Patients at the Royal Free hospital in London are the first in the country to be treated with the AI-driven keyhole procedure before it is introduced at 20 other sites. The pioneering technology will help cardiologists to make quicker and more accurate decisions while fitting a stent, a small tube of stainless steel mesh, for coronary artery disease, a procedure known as an angioplasty. It is one of many innovative technologies being used across the NHS to help get routine services back on track after the pandemic.

The 41-year-old host and TV personality recently told Fox News, she's ready for a new challenge and the ABC reality competition series was the perfect fit. EXCLUSIVE: Jeannie Mai is ready to twirl across the ballroom floor on the upcoming season of "Dancing with the Stars." The 41-year-old host and TV personality recently told Fox News she's ready for a new challenge and the ABC reality competition series was the perfect fit. "I'm being thrown across the dance floor, which was my request, by the way," she joked. "And I also want to twirl underneath legs!" Mai said joining the cast for Season 29 was like crossing something off her wish list but, more importantly: "I want to just reconnect with people," she said.

If digital technologies like artificial intelligence (AI) had its way, the much-dreaded practise of discounting in fashion and retail, could vanish overnight.

The $2.5 trillion fashion industry seems vulnerable to a long drawn out recovery, due to the discretionary nature of consumer spending on clothes. Retailers will now experience first-hand, the need for a digital-first mentality to even stay afloat. Empowered by AI insights, designers, merchandisers and buyers could soon predict customer preferences, way before they become fashionable. Even before the coronavirus pandemic crashed the global economy, disrupting supply chains and stalling consumer demand, the fashion industry was not looking forward to walking the 2020 ramp. Headwinds such as slowing demand, rising competition, shifting demographic-driven preferences and the rising carbon footprint of fast fashion, were already hanging over the sector's head.

For decades, artificial intelligence (AI) lived in data centers, where there was sufficient compute power to perform processor-demanding cognitive tasks. In time, AI made its way into software, where predictive algorithms changed the nature of how these systems support the business. Now AI has moved to the outer edges of networks. "Edge AI happens when AI techniques are embedded in Internet of Things ( IoT) endpoints, gateways, and other devices at the point of use," explains Jason Mann, vice president of IoT at SAS. "Put another way, edge computing brings the data and the compute closest to the point of interaction," says Red Hat chief technology strategist E.G. Nadhan. Edge AI is a very real (and rapidly expanding) phenomenon, powering everything from smartphones and smart speakers to automotive sensors and security cameras.

Leading health tech start up EQL, part of the NHS DigitalHealth.London and Google for Startups programmes, has entered into a new partnership with Raintree Systems Inc. one of the world's largest providers of specialist practice management and clinical documentation tools. Under the terms of the global alliance EQL's innovative AI-driven physiotherapy assessment tool, Phio, will form part of the patient engagement platform provided by Raintree Systems. This is part of the company's commitment to bringing the power of software and technology to specialist medical fields to enhance and extend the skills of healthcare professionals in serving their patients. Raintree Systems provides solutions to some of the largest Physical Therapy providers in the world including commercial, non-profit, educational and government agencies across the US and Canada. Phio is the debut product from EQL which launched in June, initially providing an agile triage tool that signposts users to suitable MSK care pathways.

Nintendo Switch has made couch co-op gaming more fun by giving you a way to play with friends outside the house. That's why Lovers in A Dangerous Spacetime, which will be available for the Switch on October 3rd, seems like a perfect fit for the hybrid. We once described the neon-colored couch co-op as a "deeply cooperative game," because you need to communicate with your partner(s) on how to maneuver your spaceship to kill hostile robots. Now that it's on the Switch, you can take it anywhere with you, hand out some Joy-Cons and play with friends, officemates, even random strangers. Asteroid Base co-founder Jamie Tucker said they wanted to bring the game to the platform from the very start.

The North Face wants its customers to get the perfect jacket for whatever they're doing - skiing in Vermont, ice skating in New York City or just trying to stay warm on the way home from work. So how do they give online customers that extra assistance and know-how? "The issue is that online shopping over the past two decades has been about a grid of products on a white background," said Cal Bouchard, senior director of e-commerce at The North Face. "That's how customers find their products. We've developed onsite search and navigation, but we still made the consumer do the work. We wanted to take the conversation you might have with an associate in a store and see if we could put that as a service online: 'Here's what I need. "We want to make it much more personal and much more intuitive," she added. "Consumers are going to get smarter and smarter and say, 'Really?