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Top 15 Best Technology Trends 2022

#artificialintelligence

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.


Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges

arXiv.org Artificial Intelligence

This USER Workshop was convened with the goal of defining future research directions for the burgeoning intelligent agent research community and to communicate them to the National Science Foundation. It took place in Pittsburgh Pennsylvania on October 24 and 25, 2019 and was sponsored by National Science Foundation Grant Number IIS-1934222. Any opinions, findings and conclusions or future directions expressed in this document are those of the authors and do not necessarily reflect the views of the National Science Foundation. The 27 participants presented their individual research interests and their personal research goals. In the breakout sessions that followed, the participants defined the main research areas within the domain of intelligent agents and they discussed the major future directions that the research in each area of this domain should take.


6G White Paper on Edge Intelligence

arXiv.org Artificial Intelligence

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for several real-world applications including but not limited to, more efficient manufacturing, novel personal smart device environments and experiences, urban computing and autonomous traffic settings. We present edge computing along with other 6G enablers as a key component to establish the future 2030 intelligent Internet technologies as shown in this series of 6G White Papers. In this white paper, we focus in the domains of edge computing infrastructure and platforms, data and edge network management, software development for edge, and real-time and distributed training of ML/AI algorithms, along with security, privacy, pricing, and end-user aspects. We discuss the key enablers and challenges and identify the key research questions for the development of the Intelligent Edge services. As a main outcome of this white paper, we envision a transition from Internet of Things to Intelligent Internet of Intelligent Things and provide a roadmap for development of 6G Intelligent Edge.


Global Big Data Conference

#artificialintelligence

Today, technologies like Artificial Intelligence (AI) and Machine Learning (ML) have integrated into our lives in such a way that it is impossible to imagine a world without them. Think about the smart virtual assistants (Siri and Alexa), the recommendation engines on online shopping platforms (Amazon and Netflix), self-driving cars and smart homes, they all are applications of ML. Certainly, the inclusion of these radical technological innovations has made our lives so much more comfortable. Although ML has been around for a long time (for instance, Turing's Enigma machine), it's only recently that the interest in this concept has peaked. As more companies are getting inclined towards advanced ML solutions and technologies, it is encouraging students and professionals to take up a machine learning course.


The Leading Industry 4.0 Companies 2019 - Vendor Map

#artificialintelligence

While conducting research for the recently released Industry 4.0 and Smart Manufacturing Market Report, IoT Analytics identified 300 leading Industry 4.0 companies that supply cutting edge products and services that are driving the fourth industrial revolution. The leading Industry 4.0 companies were selected based on a number of criteria (case studies, product offerings, estimated market share, etc.) and were categorized based on what type of Industry 4.0 product or service they supplied. Building on its long history of supporting industrial automation companies, Microsoft has emerged as the hosting partner of choice for many Industry 4.0 companies. Both end users (manufacturing facilities) and suppliers (OEMs, industrial automation companies, etc.) have partnered with Microsoft to develop and run mission-critical on-premise SCADA and MES applications for decades. Microsoft's deep domain knowledge and technical capabilities (especially with respect to hybrid cloud solutions) have helped it become a leading provider of hosting services for major manufacturing end users and suppliers such as Siemens, PTC, GE, and Emerson.


AI And Big Data: Two Major Parts of The Digital Future

#artificialintelligence

If you follow technology news in any way, you've undoubtedly noticed that AI and Big Data are trending topics. Both technologies are certainly the driving force behind a variety of tech innovations. In the following paragraphs, we'll explore exactly what AI and big data are, how they work together, and the ways in which both will disrupt the digital future. Artificial intelligence is the technology that allows computers to do things that were once only the domain of humans. For example, computers have always been able to calculate.


IoT - Macro Convergence and Emergence of Markets

@machinelearnbot

In a prior article, we talked about IoT being the connection of the physical and the digital worlds. That is, connecting those things that were physical in nature hitherto and now find a need to be connected to the digital world. This phenomenon about things/objects/entities is also influencing the enterprises in how they are transforming and shaping themselves to survive and thrive in the fast evolving world. The enterprises across consumer, commercial, public, and industrial sectors that were born in the pre-Internet era (Honeywell, ABB, GE, Philips, Siemens, and so on) are making moves to position themselves as digitally transformed companies. More subtle are the moves being made by the Internet era companies (Google, Amazon, etc.) to integrate themselves with the physical world.


Networked Intelligence: Towards Autonomous Cyber Physical Systems

arXiv.org Artificial Intelligence

Developing intelligent systems requires combining results from both industry and academia. In this report you find an overview of relevant research fields and industrially applicable technologies for building very large scale cyber physical systems. A concept architecture is used to illustrate how existing pieces may fit together, and the maturity of the subsystems is estimated. The goal is to structure the developments and the challenge of machine intelligence for Consumer and Industrial Internet technologists, cyber physical systems researchers and people interested in the convergence of data & Internet of Things. It can be used for planning developments of intelligent systems.