Archive for the ‘Artificial Intelligence’ Category

UK drone specialist UAVaid and artificial intelligence (AI) specialist Archangel Imaging sign MOU of cooperation to integrate advanced AI into drones….

UK drone specialist UAVaid and artificial intelligence (AI) specialist Archangel Imaging havesigned an MOU of cooperation for integrating advanced AI capabilities into unmannedaircraft.

The strategic partnership will support the development of technologies integrating edge-based Artificial Intelligence processing into drone navigation systems and onboard aerialcamera image analysis. It is hoped that this development will lead to faster initial response capabilities to large scale natural disasters, such as floods and wildfires, and improvedaccuracy of (drone) aerial surveillance to support wildlife (anti-poaching) and environmental protection.

UAVaid operate a fleet of specialist drones for global development (GD) and humanitarianapplications in remote and difficult to reach areas of the developing world. Archangel Imagings smart devices, such as AI cameras and navigation units, can be retrofitted to other machines to make them smarter and more resilient in challenging environments, from enabling drones to navigate independently in GNSS denied environments to detecting poachers in expansive national parks.

UAVaid technical lead, James Ronen, said the technical collaboration integrating thesecutting-edge technologies will bring new levels of operational capability, increasing accuracyand endurance of drone surveillance and monitoring, and builds on our previous technicalcollaboration with Archangel Imaging.

Charles Smith, commercial lead for Archangel Imaging, said Collaboration is at the heart of everything we do at Archangel Imaging, and we are delighted to announce this formalrelationship with UAVaid. Weve already seen success with UAVaid and this agreement builds a fantastic foundation for the use of AI for good.

UAVaid commercial lead, Daniel Ronen, said we are delighted to further extend our relationship with Archangel Imaging. This agreement follows our recent deployment in West Africa, where we identified numerous use-cases where this direction of technology development could be of potentially game-changing value to the welfare of remotecommunities and environment, particularly in mitigating the impact of climate change.

ARCHANGEL IMAGING LTD.www.archangel.imArchangel Imaging deploys smart machines alongside people to protect valuable remote assets and at-risk staff. Todays machines are mostly tools, not teammates. Our technology is retrofitted to make machines smarter, more resilient teammates, independent from infrastructure. We then integrate best-in-class AI, satellite analytics, robots, drones and IoT into human workflows. These hybrid teams respond faster and more effectively to safety or security threats. The Argonaut AI cameras watch for poachers in Africa or potential suicides on the European railways. The GENIE navigation units enable any drone to independently navigate and complete missions without GPS signals. Our technology is trusted by commercial and government customers such as Ministry of Defence, Network Rail, European Space Agency and British Transport Police and has been recognised with awards, such as AIConics AI for Good award presented at 10 Downing Street.

UAVAID LTDwww.uavaid.comUAVAid are a UK based developer and operator of specialist Unmanned Aerial Systems AKAdrones that are optimised for global development (GD) and humanitarian applications in remote and difficult to reach areas of the developing world. UAVaid was established inLondon in 2014 by two brothers, Daniel and James Ronen. They operate a mixed fleet of BVLOS drones, including their proprietary multi-role HANSARD, which incorporates cargo delivery, mapping and live aerial surveillance, onto a single platform. UAVaid havecompleted projects in Malawi and in 2021 the first-ever medical drone delivery in SierraLeone.

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UK drone specialist UAVaid and artificial intelligence (AI) specialist Archangel Imaging sign MOU of cooperation to integrate advanced AI into drones....

Universities meet to discuss future of AI and data science in agriculture – University of Florida

Signaling its ongoing commitment to collaboration in the areas of artificial intelligence and data science, the University of Florida is participating in an academic conference to address the potential of artificial intelligence, robotics and automation in agriculture.

The conference, titled Envisioning 2050 in the Southeast: AI-driven Innovations in Agriculture, is hosted March 9-11 by the Auburn University College of Agriculture and funded by the U.S. Department of Agriculture National Institute of Food and Agriculture.

Conference speakers include Hendrik Hamann, a distinguished research staff member and chief scientist for the future of climate in IBM Research; Mark Chaney, engineering manager of the automation delivery teams at Intelligent Solutions Group at John Deere; Steven Thomson, a national program leader with the USDA National Institute Food and Agriculture; and dozens more.

Speakers from academia, the federal government and industry will share their work in areas such as crop production, plant and animal breeding, climate, agricultural extension, pedagogy, food processing and supply chain, livestock management and more.

The Envisioning 2050 in the Southeast: AI-Driven Innovations in Agriculture conference will bring together academics, industry and stakeholders to share their expertise and develop a vision for the future, said Arthur Appel, interim associate dean of research for the Auburn College of Agriculture. Attendees will be able to learn about the depth and breadth of AI in agriculture from the experts who are making the promise of AI a reality.

Kati Migliaccio, co-organizer of the conference and chair of the Department of Agricultural and Biological Engineering at the University of Florida, said the timing of the conference is perfect.

This is an opportune time to host this conference focusing on AI in agriculture in the Southeast because of the resources invested in AI, the state of innovation of AI in agriculture and the critical need to adapt agriculture for current world challenges, including labor, nutrition, energy and climate, she said.

In November, the chief academic officers of the 14 member universities in the Southeastern Conference (SEC) announced formation of an artificial intelligence and data science consortium for workforce development, designed to grow opportunities in the fast-changing fields of AI and data science.

Believed to be the first athletics conference collaboration to have such a focus, the SEC Artificial Intelligence Consortium enables SEC universities to share educational resources, such as curricular materials, certificate and degree program structures, and online presentations of seminars and courses; promote faculty, staff, and student workshops and academic conferences such as todays event at Auburn; and seek joint partnerships with industry.

Joe Glover, provost and senior vice president for academic affairs at the University of Florida, which is leading the SEC-wide effort, said, AI is changing nearly every sector of society, and the SEC is uniquely positioned to engage students, faculty, and staff in one of the most transformational opportunities of our time. The combined strength of our institutions gives us the opportunity to advance in how we process the future of teaching and learning, research and economic development and how we can provide leadership at this critical moment when AI and data science are changing the way we think about small tasks and big questions.

The Auburn University office of communications and marketing and the SEC communications office contributed to this story.

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Universities meet to discuss future of AI and data science in agriculture - University of Florida

Artificial intelligence innovation among tech industry companies has dropped off in the last year – Verdict

Research and innovation in artificial intelligence in the technology and communications sector has declined in the last year, data from GlobalData shows.

The most recent figures show that the number of AI related patent applications in the industry stood at 1,392 in the three months ending January down from 5,340 over the same period in 2020.

Figures for patent grants related to AI followed a similar pattern to filings shrinking from 2,601 in the three months ending January 2020 to 367 in the same period in 2021.

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The figures are compiled by GlobalData, who track patent filings and grants from official offices around the world. Using textual analysis, as well as official patent classifications, these patents are grouped into key thematic areas, and linked to key companies across various industries.

AI is one of the key areas tracked by GlobalData. It has been identified as being a key disruptive force facing companies in the coming years, and is one of the areas that companies investing resources in now are expected to reap rewards from.

The figures also provide an insight into the largest innovators in the sector.

Huawei Investment & Holding Co Ltd was the top AI innovator in the technology and communications sector in the latest quarter. The company, which has its headquarters in China, filed 115 AI related patents in the three months ending January. That was down from 196 over the same period in 2020.

It was followed by the United States based Alphabet Inc with 100 AI patent applications, the United States based International Business Machines Corp (99 applications), and the United States based Intel Corp (77 applications).

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Telefonaktiebolaget LM Ericsson has recently ramped up R&D in AI. It saw growth of 38.9% in related patent applications in the three months ending January compared to the same period in 2020 the highest percentage growth out of all companies tracked with more than 10 quarterly patents in the technology and communications sector.

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Artificial intelligence innovation among tech industry companies has dropped off in the last year - Verdict

Artificial Intelligence Market Analysis And Growth Forecast By Applications, Sales, Size, Types And Competitors By 2022-2028 – Digital Journal

Artificial Intelligence market report offers a great understanding of the current market situation with the historic and projected upcoming market size based on technological growth, value and volume, projecting cost-effective and leading fundamentals in the market. A worldwide market analysis document performs comprehensive study about industry and tells about the market status in the forecast period. This report studies the potential and prospects of the market in the present and the future from various points of views. Artificial Intelligence business report is a comprehensive analysis on the study of industry that gives number of market insights.

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Artificial Intelligence Market accounted for USD 16.14 billion in 2017 and is projected to grow at a CAGR of 37.3% the forecast period . artificial intelligence field holds secure development prospects, inferable from which, the key players are concentrating on building up an incorporated arrangement including equipment and programming. Moreover, to grow their client achieve, a few merchants have teamed up with wholesalers and end clients for item appropriation.

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Top Companies Profiled in this Report includes:

Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Enlitic, Inc., Next IT Corporation, iCarbonX, Amazon Web Services, Apple, Facebook Inc., Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, Enlitic, Inc. and Raven Industries.

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Report Scope: Artificial Intelligence Market

Artificial Intelligence Market Outlook By Offering:

Hardware, Software and Services

Artificial Intelligence Market Outlook By Technology :

Machine Learning, Natural Language Processing and others

Artificial Intelligence Market Outlook By Type :

Artificial Neural Network, Digital Assistance System and others

Artificial Intelligence Market Outlook by Applications:

Deep Learning, Smart Robots and others

Artificial Intelligence Market Outlook By End-User Industry:

Healthcare, Manufacturing and others

Artificial Intelligence Market Outlook By Regional Analysis :

North America Europe Asia-Pacific South America Middle East and Africa

The report includes market shares of artificial intelligence market for global, Europe, North America, Asia Pacific and South America.

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To analyze globalArtificial Intelligencestatus, future forecast, growth opportunity, key market and key players. To present theArtificial Intelligencedevelopment in United States, Europe and China. To strategically profile the key players and comprehensively analyze their development plan and strategies. To define, describe and forecast the market by product type, market and key regions.

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Artificial Intelligence Market Analysis And Growth Forecast By Applications, Sales, Size, Types And Competitors By 2022-2028 - Digital Journal

Artificial Intelligence For IT Operations Platform Market Scope and overview, To Develop with Increased Global Emphasis on Industrialization 2029 |…

Artificial Intelligence For IT Operations Platform Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capacities.

The Global Artificial Intelligence For IT Operations Platform Market is expected to grow at a significant CAGR of 21% by 2028.

Artificial intelligence platform for IT operations (AIOps) refers to the artificial intelligence platform for IT operations. It combines human intelligence with automated algorithms to provide complete visibility into IT systems performance.

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Prominent players in the global Artificial Intelligence For IT Operations Platform market are consistently pouring funds into the research and development of next-generation healthcare IT solutions. These players are keen on expanding their foothold in cloud-based Artificial Intelligence For IT Operations Platform solutions. Some of the top key players of this market are AppDynamics, BMC Software, Inc., Broadcom, HCL Technologies Limited, International Business Machines Corporation, Micro Focus, Moogsoft, ProphetStor Data Services, Inc., Resolve Systems, Splunk, VMware,.

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence For IT Operations Platform market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast for various segments and sub-segments considering the macro and micro environmental factors. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market.

Impact of COVID-19 on Artificial Intelligence For IT Operations Platform Market :COVID-19 is an unparalleled global public health emergency that has affected almost every industry and its long-term impact is expected to impact the industry growth over the forecast period. Artificial Intelligence For IT Operations Platform Market Reports provide insight into COVID-19, taking into account changes in consumer behavior and demand, purchasing patterns, rerouting supply chains, current market dynamics, and significant government interventions. The updated study provides insights, analysis, estimations and forecasts considering the impact of COVID-19 on the market.

Global Artificial Intelligence For IT Operations Platform Market Segmentation:

Market Segmentation: By Type

Advanced AnalyticsMachine LearningNatural Language Processing (NLP)Other

Market Segmentation: By Application

IT InfrastructureApplication Performance Monitoring (APM)Real-time AnalyticsNetwork SecurityOther

Global Artificial Intelligence For IT Operations Platform Market research report offers:

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The key regional markets methodically examined in the research report are North America, Europe, Japan, China, India, and Southeast Asia. North America is expected to represent a substantial share in the market during the forecast period. The growth of the region is primarily driven by the healthcare IT market in the U.S., which is one of the most prominent and mature markets worldwide. The stringent regulatory norms and Artificial Intelligence For IT Operations Platform incentivizing policies in the region are prompting hospitals and clinics in the region to implement Artificial Intelligence For IT Operations Platform solutions.

The cost analysis of the Global Artificial Intelligence For IT Operations Platform Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions answered in the report include:

Table of Contents

Global Artificial Intelligence For IT Operations Platform Market Research Report 2022 2028

Chapter 1 Artificial Intelligence For IT Operations Platform Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Artificial Intelligence For IT Operations Platform Market Forecast

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