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There are few sectors of the stock market that are quite as exciting as the artificial intelligence sector. Eerily reminiscent of many works of science fiction, today's technological innovation has brought us smartphones, televisions, and even homes that talk to you, providing intelligent answers in seemingly no time flat! AI technology is quickly changing the way people do everything from order food to enjoy streaming entertainment, and as adoption of the technology continues, the opportunities in the space are only growing larger. It's no surprise to find intense investor interest in artificial intelligence stocks, but what exactly are the companies they represent doing, and should you be investing in them? Read on to learn more about this fast-evolving sector of the economy and how to go about investing in it.
Tristan Glatard, co-director of Applied AI Institute at Concordia University (left) and Fenwick McKelvey, co-director of Applied AI Institute at Concordia University (right).Supplied It wasn't long ago when, for the average person, the words "artificial intelligence" conjured up visions of futuristic fiction – the androids of Blade Runner, say, or Steven Spielberg's A.I. In fact, artificial intelligence is very much here-and-now, and not only with a human façade (think of virtual assistants Siri and Alexa, those smartphone genies ready to do our bidding), but in a myriad of forms. From Google searches to medical diagnoses, Netflix's personalized "Top Picks" to self-driving cars, AI technology has become pervasive. It's predicted that the AI market will contribute as much as $15.7-trillion per year to the global economy by the end of this decade. Its applications will be increasingly integrated into our lives and play a role in shaping our society.
There will be a lot of technology trends to follow in 2022 and they will affect different industries and different aspects of our lives. A lot of these trends are already at play, but some will take time to come to the fore. In this blog, we will look at these trends and predict what they might mean for our lives in the years to come. Technology is a fast-paced industry and there is a lot of buzzes. Everyone is talking about the latest trends, from the latest app to the latest technology.
The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, Offenburg and Trier, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.
When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability, energy efficiency, lower latency, and, more importantly, an integrated "human-centric" network system powered by artificial intelligence (AI). Such a 6G network will lead to an excessive number of automated decisions made every second. These decisions can range widely, from network resource allocation to collision avoidance for self-driving cars. However, the risk of losing control over decision-making may increase due to high-speed data-intensive AI decision-making beyond designers and users' comprehension. The promising explainable AI (XAI) methods can mitigate such risks by enhancing the transparency of the black box AI decision-making process. This survey paper highlights the need for XAI towards the upcoming 6G age in every aspect, including 6G technologies (e.g., intelligent radio, zero-touch network management) and 6G use cases (e.g., industry 5.0). Moreover, we summarised the lessons learned from the recent attempts and outlined important research challenges in applying XAI for building 6G systems. This research aligns with goals 9, 11, 16, and 17 of the United Nations Sustainable Development Goals (UN-SDG), promoting innovation and building infrastructure, sustainable and inclusive human settlement, advancing justice and strong institutions, and fostering partnership at the global level.
An easy way to keep two romantic lives separate is to buy two separate phones. That way, the cheater doesn't get confused and text the wrong person by mistake. A second phone is also a liability, even if expressed as a "work" or "emergency" phone. Another technique is to purchase a separate SIM card. Some phones allow you to have two SIM cards that can be a hassle.
An easy way to keep two romantic lives separate is to buy two separate phones. That way, the cheater doesn't get confused and text the wrong person by mistake. A second phone is also a liability, even if expressed as a "work" or "emergency" phone. Another technique is to purchase a separate SIM card. Some phones allow you to have two SIM cards but that can be a hassle. A much easier way is to get a Google Voice number that rings on the current phone. In this photo illustration, Apple's iPhone 12 seen placed on a MacBook Pro.
For many years, people dreaded the emergence of artificial intelligence and new technologies. Those who grew up before the iPhone and internet felt that their jobs would be put into jeopardy. The pandemic made even the most fervent Luddites change their attitude toward robotics, AI and technology. While sheltering at home, riding out the Covid-19 outbreak, they turned to online shopping on Amazon, ordering food deliveries via DoorDash and having others shop for food with the Instacart app. If a person needed to venture outside, and didn't want to risk going on public transportation, they requested an Uber or Lyft car.
The fashion industry is on the verge of an unprecedented change. The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications is opening lots of new opportunities for this industry. This paper provides a comprehensive survey on this matter, categorizing more than 580 related articles into 22 well-defined fashion-related tasks. Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. For each task, a time chart is provided to analyze the progress through the years. Furthermore, we provide a list of 86 public fashion datasets accompanied by a list of suggested applications and additional information for each.
The next generation of wireless technology could affect a wide range of industries, from healthcare to financial services to retail. The technology enables faster data transfer speeds -- up to 10x faster than the speeds achievable with older standards -- lower latency, and greater network capacity. As a result, 5G creates a tremendous opportunity for numerous industries, but also sets the stage for large-scale disruption. Download the free report to understand what 5G is, the industries it's disrupting, and the drivers paving the way for its implementation. As of June 2021, commercial 5G services have already been deployed across more than 1,500 cities in 60 countries worldwide, according to Viavi Solutions. The number of IoT devices -- which will rely on 5G to transmit vast amounts of data in real time -- is projected to grow from 12B in 2020 to 30B in 2025, per IoT Analytics, more than 4 devices for every person on Earth. Executives across industries are already jostling to take advantage of 5G tech -- and avoid being disrupted by it. Earnings call mentions of 5G have soared in recent years. From enabling remote robotic surgery and autonomous cars to improving crop management, 5G is poised to transform many of the world's biggest industries. The impact of 5G on manufacturing could be huge. It's estimated that improved connectivity through 5G will create $13T in global economic value across industries by 2035, according to IHS Markit. A third of that total is projected to come from the manufacturing sector alone. This would enable manufacturers to build "smart factories" that rely on automation, augmented reality, and IoT. And with 5G powering large amounts of IoT devices and sensors around the factory, artificial intelligence can be integrated more deeply with operations. On fast-paced assembly lines, even microseconds of latency can cause costly disruptions for the manufacturer.