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Save 97% on this stacked video game development bundle

Mashable

TL;DR: The Unreal and Unity Game Development for Beginners Bundle is on sale for £21.83 as of July 24, saving you 97% on list price. With this Unreal and Unity Game Development for Beginners Bundle, which includes six courses and over 50 hours of training, you'll learn to build your own projects and games from scratch. The training is led by experts at Zenva Academy, as well as game developer Raja Biswas. Biswas is the founder of the YouTube channel Charger Games, and he has taught thousands of new programmers how to publish their own games. You'll start by learning the basic concepts, tools, and functions of the game engines Unity and Unreal, then move on to building fully functional games yourself.


High Tech Trends: Latest Trends in Technology 2021

#artificialintelligence

Technology is continuously updating at such a fast pace which it is might be quicker than light. A programming language that is making the rounds today might be obsolete by the next couple of days. As more money is invested in the development and research, professionals and computing scientists are continuously tweaking and enhancing current technologies to maximize them. Thus, new technologies and programming language, patch, library, and plug-in are released per hour. To maintain this fast pace of development, you need to keep on knowing the newest technology ideas.


The Role of Knowledge Graphs in Artificial Intelligence

#artificialintelligence

Representing knowledge and the reasoning for the conclusions drawn has remained a cornerstone of artificial intelligence (AI) for decades. A knowledge graph (KG) is a powerful data structure that represents information in a graphical format. DBpedia, an open source knowledge graph defines a knowledge graph as "a special kind of database which stores knowledge in a machine-readable form and provides a means for information to be collected, organised, shared, searched and utilised." Formally, a KG is a directed labeled graph which represents relations between data points. A node of the KG represents a data point.


Edge AI software market to expand significantly by 2030 - Help Net Security

#artificialintelligence

The surging number of applications being deployed on the cloud in several industries, rapid improvements being made in the internet of things (IoT) domain, advancements in numerous smart applications, and growing popularity of AI software are the major factors driving the expansion of the global edge AI software market. Due to these factors, the market generated $600 million revenue in 2020, and it is expected to exhibit huge expansion during 2021–2030, according to P&S Intelligence. The imposition of lockdowns in several countries to mitigate the spread of the COVID-19 infection negatively impacted the operations of many businesses, but positively impacted the growth of the edge AI software market. The COVID-19 pandemic has facilitated the progress of the medical services sector, with many organizations making huge investments in edge AI software to increase its applications in this sector. Moreover, with the increasing digitalization rate in the medical care and training sectors, the demand for edge AI software is rising sharply.


Now Google will display why it's showing you its search results

Mashable

The man behind the Google Search curtain is coming out to explain a few things. On Thursday, Google expanded the information that it attaches to search results to show users why they're getting the website recommendations they receive. This includes the "matching keywords" and "related terms" associated with your search that show up in the result, as well as whether other pages reference that link, and if it makes sense for your local area. Google doesn't make a secret of the factors that go into its search rank algorithm -- it spells everything out here. But showing how it applies that criteria to your specific query gives users a new, practical look under the Google hood.


Why Are Self-Driving Cars the Future and How are They Created?

#artificialintelligence

Due to the recent adaptive quarantine measures imposed in virtually all parts of the world, air travel, public transportation, and many other sectors took a really big hit in 2020. However, the automotive world and autonomous vehicles, in particular, have shown increased resilience during this difficult time. In fact, companies like Ford have increased their investments in the development of electric and self-driving cars by allocating $29 billion dollars in the fourth quarter of last year. Specifically, $7 billion of that money will go towards the development of self-driving cars. So Ford is joining General Motors, Tesla, Baidu, and other automakers in heavily investing in autonomous vehicles.


Tech Trends to Look Out for in 2021 - EasternEye

#artificialintelligence

The pace at which technology is continuously evolving is unprecedented. Each and every day seemingly brings with it some new and exciting thing to be excited about in the world of tech. Fresh off a year that saw the world retreat indoors in an effort to curb the spread of the COVID-19 virus, much of society grew more reliant and more accepting of technology as a whole. Technology played a big role in various aspects of everyday life such as communication, data transfer, analysis, and even entertainment. More than that, in the age of digital information, a smart device is being placed in the hands of someone new every single day.


Algorithm May Help Autonomous Vehicles Navigate Narrow, Crowded Streets

#artificialintelligence

The researchers developed a method to model different levels of driver cooperativeness how likely a driver was to pull over to let the other driver pass and used those models to train an algorithm that could assist an autonomous vehicle to safely and efficiently navigate this situation. An algorithm developed by researchers at Carnegie Mellon University (CMU) could enable autonomous vehicles to navigate crowded, narrow streets where vehicles traveling in opposite directions do not have enough space to pass each other and there is no knowledge about what the other driver may do. Such a scenario requires collaboration among drivers, who must balance aggression with cooperation. The researchers modeled different levels of cooperation between drivers and used them to train the algorithm. In simulations, the algorithm was found to outperform current models; it has not yet been tested on real-world vehicles.


Top 10 Artificial Intelligence Apps in the Market

#artificialintelligence

When it comes to the mobile app industry, businesses of all sizes and specialisations confront strong competition. This position compels them to keep up with all developing digital developments in order to maintain their worth. Recognizing the huge influence of artificial intelligence on business, top firms such as Amazon, eBay, and Tinder make extensive use of AI in their applications to generate tailored mobile user experiences and improve profitability. Start-ups also raise more investment for AI integrations, propelling them to high marketability and competitiveness. Annually, more AI apps go viral, bringing greater exposure and revenues to their owners.


Alphabet launches company to make industrial robots more adaptable

ZDNet

Alphabet's X, its R&D lab, announced Friday morning that its next big bet is in industrial robotics. Its new early-stage company Intrinsic is a robotics software and AI company that wants to help robots sense and learn, thereby making them more adaptable to different environments. "The surprisingly manual and bespoke process of teaching robots how to do things, which hasn't changed much over the last few decades, is currently a cap on their potential to help more businesses," Wendy Tan-White, Intrinsic's CEO, wrote in a blog post. "Specialist programmers can spend hundreds of hours hard coding robots to perform specific jobs, like welding two pieces of metal, or gluing together an electronics case. And many dexterous and delicate tasks, like inserting plugs or moving cords, remain unfeasible for robots because they lack the sensors or software needed to understand their physical surroundings."