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In 2022, the most important trends in AI and Machine Learning will alter the timeline

#artificialintelligence

With the Covid-19 outbreak, companies from all walks of life are leveraging advanced technology to revolutionize the way we work and live. Over the past few years, technology has undoubtedly become an important feature and guideline in times of crisis. Artificial intelligence, machine learning and other related technologies have the potential to transform traditional business models from the most basic to the simplest, efficient and inexpensive. The "smart" component of smart digital solutions refers to artificial intelligence and machine learning. These two fundamental elements are called the "brains" of intelligent machines, which are used to provide efficient and efficient business solutions.


Hitting the Books: What autonomous vehicles mean for tomorrow's workforce

Engadget

In the face of daily pandemic-induced upheavals, the notion of "business as usual" can often seem a quaint and distant notion to today's workforce. But even before we all got stuck in never-ending Zoom meetings, the logistics and transportation sectors (like much of America's economy) were already subtly shifting in the face of continuing advances in robotics, machine learning and autonomous navigation technologies. In their new book, The Work of the Future: Building Better Jobs in an Age of Intelligent Machines, an interdisciplinary team of MIT researchers (leveraging insights gleaned from MIT's multi-year Task Force on the Work of the Future) exam the disconnect between improvements in technology and the benefits derived by workers from those advancements. It's not that America is rife with "low-skill workers" as New York's new mayor seems to believe, but rather that the nation is saturated with low-wage, low-quality positions -- positions which are excluded from the ever-increasing perks and paychecks enjoyed by knowledge workers. The excerpt below examines the impact vehicular automation will have on rank and file employees, rather than the Musks of the world.


smartcity OR smartcities_2022-01-13_17-24-59.xlsx

#artificialintelligence

The graph represents a network of 4,670 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 January 2022 at 01:42 UTC. The requested start date was Friday, 14 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 5-day, 6-hour, 33-minute period from Friday, 07 January 2022 at 20:15 UTC to Thursday, 13 January 2022 at 02:48 UTC.


Robotics innovation infiltrates 2022 Consumer Electronics Show

Robohub

It must be CES time! A few years ago, the only robots at CES were toys. And as the robot toy makers at Ologic can attest, having your robot featured as the leading image for CES was still no guarantee that your robot would make it into production (AMP is pictured above). Luckily Ologic have transferred their consumer electronics experience into building robots of every other kind. The 2022 CES Innovation Awards recognize a range of robotics technologies as Honorees, and feature three in the "Best of Innovation" category as well. See & Spray is a technologically advanced, huge robot for the agriculture industry that leverages computer vision and machine learning to detect the difference between plants and weeds, and precisely spray herbicide only on the weeds. This groundbreaking plant-level management technology gives a machine the gift of vision and reduces the use of herbicide by up to 80 percent, benefiting the farmer, the surrounding community and the environment.


Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence

arXiv.org Artificial Intelligence

Artificial intelligence (AI) has become a part of everyday conversation and our lives. It is considered as the new electricity that is revolutionizing the world. AI is heavily invested in both industry and academy. However, there is also a lot of hype in the current AI debate. AI based on so-called deep learning has achieved impressive results in many problems, but its limits are already visible. AI has been under research since the 1940s, and the industry has seen many ups and downs due to over-expectations and related disappointments that have followed. The purpose of this book is to give a realistic picture of AI, its history, its potential and limitations. We believe that AI is a helper, not a ruler of humans. We begin by describing what AI is and how it has evolved over the decades. After fundamentals, we explain the importance of massive data for the current mainstream of artificial intelligence. The most common representations for AI, methods, and machine learning are covered. In addition, the main application areas are introduced. Computer vision has been central to the development of AI. The book provides a general introduction to computer vision, and includes an exposure to the results and applications of our own research. Emotions are central to human intelligence, but little use has been made in AI. We present the basics of emotional intelligence and our own research on the topic. We discuss super-intelligence that transcends human understanding, explaining why such achievement seems impossible on the basis of present knowledge,and how AI could be improved. Finally, a summary is made of the current state of AI and what to do in the future. In the appendix, we look at the development of AI education, especially from the perspective of contents at our own university.


Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery

arXiv.org Artificial Intelligence

A successful deployment of drones provides an ideal solution for surveillance systems. Using drones for surveillance can provide access to areas that may be difficult or impossible to reach by humans or in-land vehicles gathering images or video recordings of a specific target in their coverage. Therefore, we introduces a data delivery drone to transfer collected surveillance data in harsh communication conditions. This paper proposes a Myerson auction-based asynchronous data delivery in an aerial distributed data platform in surveillance systems taking battery limitation and long flight constraints into account. In this paper, multiple delivery drones compete to offer data transfer to a single fixed-location surveillance drone. Our proposed Myerson auction-based algorithm, which uses the truthful second-price auction (SPA) as a baseline, is to maximize the seller's revenue while meeting several desirable properties, i.e., individual rationality and incentive compatibility while pursuing truthful operations. On top of these SPA-based operations, a deep learning-based framework is additionally designed for delivery performance improvements.


Start-up support and plenty of new partner moves aim to make IoT work - IoT Now - How to run an IoT enabled business

#artificialintelligence

In his latest ecosystem column, Antony Savvas charts a blockbuster first couple months of the year, involving both new companies and well-established ones. Internet of Things (IoT) network provider, Sigfox has launched the second edition of its Hacking House event in Paris. For six months, participants from seven different countries will bring IoT-based projects to life addressing issues as diverse as car theft prevention and bird protection. Microsoft and Amosense are the sponsors of the latest Hacking House, which will also be supported by technology partners such as LITE-ON, Wisebatt and STMicroelectronics. The participants are divided into four teams to develop their project at Sigfox in Paris from this month to early August 2020.


Top 5 Telecom Trends to Watch in 2020 Big Data Made Simple

#artificialintelligence

Self-driving cars, home automation, virtual assistants…it's clear we've already seen some outstanding technological advances and are on the brink of more significant breakthroughs. Alain Fiocco, CTO for OVHcloud, calls 2020 "a new era" for technology. But with all new advances, which will pull ahead in 2020? Here is a breakdown of the top five telecom trends to watch for in the year ahead. Right now, the world runs on 4G, also known as LTE.


When will we see driverless cars on British roads? Business Leader News

#artificialintelligence

We have all seen the rapid rise of new technologies that are disrupting the way we live our everyday lives. From our mobile devices, e-commerce retailing, sharing economy companies and a plethora of automated functionalities – innovation has changed our lives beyond recognition. It is through this relentless drive of technological innovation that has revolutionised the automotive sector. Despite the ongoing controversies around diesel and petrol cars, and the gradual implementation of electric vehicles, one of the more sci-fi adaptations that will be arriving on our roads in the near future is autonomous vehicles. But when will this happen?


5 tech trends set to explode in your life this decade

#artificialintelligence

The average time-frame of tech disruption in our lives has significantly diminished and things are changing at a rapid scale. In a span of few years, gadgets such as MP3 players, compact digital cameras, scanners, CDs, fax machines and several others have more or less disappeared. On the other hand, new-age technologies like Artificial Intelligence (AI) and Machine Learning (ML), data analytics, Internet of Things (IoT), content streaming, automation, robotics and 5G have been growing in leaps and bounds to make our lives better. Let's take a look at five tech trends that are expected to explode in the decade that has just begun. Imagine a chip that can perform target computation in 200 seconds, which would otherwise take the world's fastest supercomputer 10,000 years.