If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Microsoft's video game streaming technology, Project xCloud, will come to Xbox Game Pass Ultimate on September 15th, at no additional cost to members. The initial rollout covers 22 countries across North America, Europe and South Korea, and gives players access to more than 100 games, including Destiny 2, Gears 5, Minecraft: Dungeons, The Outer Worlds, Sea of Thieves and Yakuza Kiwami 2. Microsoft revealed in July that xCloud would be rolled into Game Pass Ultimate in September, but didn't share an exact date or specific titles coming to the service. Today, Microsoft listed the names of 36 games heading to Game Pass Ultimate via xCloud, and we've published those at the end of the article. Project xCloud makes Xbox console games playable on Android smartphones and tablets, streamed in over WiFi or cellular data. It's been live in beta since October 2019, and it's proven to be one of the most consistent, steadily-growing streaming services out there.
Imagine we want to train a self-driving car in New York so that we can take it all the way to Seattle without tediously driving it for over 48 hours. We hope our car can handle all kinds of environments on the trip and send us safely to the destination. We know that road conditions and views can be very different. It is intuitive to simply collect road data of this trip, let the car learn from every possible condition, and hope it becomes the perfect self-driving car for our New York to Seattle trip. It needs to understand the traffic and skyscrapers in big cities like New York and Chicago, more unpredictable weather in Seattle, mountains and forests in Montana, and all kinds of country views, farmlands, animals, etc.
A German court has fined and banned a Tesla owner from driving for one month after a crash that happened while the driver was using the car's built-in touchscreen dashboard to adjust windshield-wiper settings. Surprisingly, this case didn't involve Tesla's Autopilot system, which was activated in multiple crashes in the US and has drawn sharp criticism from the US National Transportation Safety Board. As reported by German tech site Golem, a regional court judge in Germany decided that the Tesla S's touchscreen user interface for controlling the intervals of the windshield wiper required too much attention from the driver. It therefore found him in breach of road-traffic regulations designed to stop people being distracted by their phones while driving. The decision, made in the Karlsruhe district court, involved a non-fatal crash in heavy rain on a federal highway.
The advent of artificial intelligence and its subsets (computer vision, machine learning, NLP, and more) is modernizing the health and fitness industry at an unprecedented rate. By making fitness machines, gadgets, wearables, and mobile applications smarter, this technology is helping people to stay fit and healthy. Right from helping businesses in this industry in improving their marketing and sales strategies to assisting people to reshape their day-to-day habits, AI is playing a big role in the fitness world. And if you are wondering how AI has become a game-changer, then this article is for you. Here, we have listed all the benefits it renders to the fitness world.
GANs (Generative Adversarial Networks) are a class of models where images are translated from one distribution to another. GANs are helpful in various use-cases, for example: enhancing image quality, photograph editing, image-to-image translation, clothing translation, etc. Nowadays, many retailers, fashion industries, media, etc. are making use of GANs to improve their business and relying on algorithms to do the task. There are many forms of GAN available serving different purposes, but in this article, we will focus on CycleGAN. Here we will see its working and implementation in PyTorch. CycleGAN learns the mapping of an image from source X to a target domain Y. Assume you have an aerial image of a city and want to convert in google maps image or the landscape image into a segmented image, but you don't have the paired images available, then there is GAN for you.
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies. Jigsaw Academy, with over 400 years of combined teaching experience, including online and remote learning delivery, is adept at training and upskilling professionals and freshers in key capabilities in emerging technologies like business analytics, data science, artificial intelligence, deep learning, cybersecurity, full stack development, and cloud computing, to name but a few. The broad Information Technology domain experienced significant growth and consolidation in 2019-2020. At the beginning of this year, various studies conducted by Analytics India Magazine indicated that the IT domain in general, and the specific domains of Artificial Intelligence, Deep Learning, Data Analytics, Machine Learning, and Cyber Security domains, to name a few, were experiencing significant growth in terms of revenues, investments, and salaries. Despite the lockdown and recessionary trends, specific domains and technologies across the IT space continue to develop at a steady space. The Covid pandemic has unfortunately affected the broader global and Indian economies – economic activity across the globe has slowed down after a strict lockdown in activity across all major economies. One of the other impacts of the disruption, due to the unfortunate recession and pandemic, is that there has been a shift of jobs and roles to Tier 2 and Tier 3 cities. Before the lockdown, a small percentage of job roles ( 3-4%) were advertised for the Tier 2 and Tier 3 cities – locations outside the IT, Technology, and BPO hubs. There has now been a significant shift to an average of about 8% of the jobs advertised in tier 2 and Tier 3 cities. This highlights that jobs are now increasingly becoming location independent and now advertised across several locations, including small cities and large towns.
Who you are together is more important than who you are alone. What makes us happy in a romantic relationship? The question might seem too complex to answer, too varied couple to couple. But a new study in the Proceedings of the National Academy of Sciences attempts to answer just that - using machine learning. Previous studies on romantic satisfaction were limited in size.
For the vast majority of humans, writing code is akin to learning a new language – but researchers from Intel and MIT are on a mission to change that. And the solution they are coming up with is to build code… that can code. Called machine programming, the field that the researchers are looking at is concerned with automating software development. And the team has just revealed a new tool that takes developers one step closer to the prospect of, one day, having machines that can program themselves. MISIM (Machine Inferred code Similarity), the new technology invented by Intel and MIT's labs, effectively studies snippets of code to understand what a piece of software intends to do.
Every time Congress holds a hearing about Silicon Valley companies, people mock the legislators for being out of their depth. Last week's effort by the antitrust subcommittee of the House Judiciary Committee was no exception. "The technological ignorance demonstrated by our elected officials ... was truly stunning," Shelly Palmer, CEO at the Palmer Group, a tech strategy advisory group, told USA Today. "People who are this clueless about the economic forces shaping our world should not be tasked with leading us into the age of AI," he said. "The data elite are playing a different game with a different set of rules. Apparently, Congress can't even find the ballpark."