Artificial Intelligence in Space – USC’s Information Sciences Institute is on a Mission – USC Viterbi | School of Engineering – USC Viterbi School of…

Danny Olivas

John Daniel Danny Olivas, former NASA astronaut and current member of the NASA Advisory Council, has joined the staff of the Visual Intelligence and Multimedia Analytics Laboratory (VIMAL) of USCs Information Sciences Institute (ISI) as Co-Director for AI Initiatives in Space.

Olivas brings considerable experience to VIMAL, ISI and USC. A veteran of space shuttle missions in 2007 and 2009, he is the recipient of two NASA Space Flight Medals and the NASA Exceptional Service and Exceptional Achievement Medals. Olivas completed five space walks totaling over 34 hours outside of the International Space Station. His expertise in space is rivaled only by his passion for it, and he brings both to his new role.

Olivas said, I am excited about the opportunity to help expand USCs footprint in space, for researchers and students alike.

VIMAL which is led by Wael AbdAlmageed, research director at ISI and research associate professor of electrical and computer engineering has a noble and straight-forward mission: to empower students to use artificial intelligence to make the world a better place, one day at a time. With Olivas on the team, VIMAL is now able to look beyond Earth to do this.

Olivas and AbdAlmageed met in July 2022, when they were both invited to Renaissance Weekend, a prestigious, non-partisan, invite-only retreat for innovative thinkers across disciplines held this year in Banff,Canada. They quickly realized they had a lot in common. AbdAlmageed said, Danny [Olivas] and I come from very similar mindsets and backgrounds. We believe in working hard on hard problems, without giving up, for a long period of time. We believe that is enough to make things happen.

Interested in each others area of expertise, the two discussed how to harness their collective grit and work together. A month later, Olivas visited ISI for the day to learn about VIMAL and ISI, and present his thoughts on opportunities for AI in space.

Olivas astronaut background and exposure to space provides a valuable new perspective on new areas for data analysis. Since the beginning of the [NASA] program, NASA has produced more data than has been analyzed, he noted. He added that this data is ripe for analysis through artificial intelligence and machine learning.

One application is climate, which AbdAlmageed called an area of growth for VIMAL.

NASA has instruments that can see things like water vapor in the upper atmosphere, Olivas said. All these kinds of things can not only be analyzed in their individual silos of monitoring, but you can now start to integrate data across the different instruments to build a much more robust picture of how climate changes are affecting a certain region.

Ozone and CO2 in the atmosphere, temperature trends across the planet, drought prediction, sea level detection, deforestation, planet population changes these are just some of the areas where NASA has useful historical data, according to Olivas.

This data has been available by NASA for many, many years, he added, and (they) provide an opportunity to take pieces of this information and start to integrate them together and allow computational technologies to take over where human beings have had to digest this information in the past, to try to make sense of it.

As NASA prepares for a future in which humans will travel to Mars, new and exciting AI applications will emerge. There are some specific robotic applications that are very unique to NASAs space program, Olivas said. For example, a robot that can check the mood of an astronaut based on their facial expressions or voice intonations something that will be increasingly important for mental health as missions extend from months to years with Mars exploration.

Exploration rovers are another area where Olivas sees room for more AI, again, with Mars as the example: It takes about twenty minutes to be able to send a command from Earth to Mars. By the time you get the photograph that your rover is marching over a cliff, its probably the wrong time to send the command to stop moving. So you want to have more intelligence being built on the platform to allow the rover to make decisions for itself.

Climate data, robots and rovers these are areas Olivas might take VIMAL in the future. However, the first problem Olivas and AbdAlmageed plan on tackling is trash, specifically orbital debris.

NASA defines orbital debris as any non-functional human-made object in orbit around the Earth. Think: spacecraft, satellites, rockets or what youd get if any of those collided or exploded. Debris ranges in size from sub-microns all the way to several meters from a paint chip to a school bus with hundreds of thousands of estimated pieces orbiting Earth.

The trouble comes from the fact that this debris travels at orbital velocities that are dangerous to NASAs missions picture that paint chip or school bus traveling at 16,000 mph! Olivas said, its that hyper-velocity impact that causes all sorts of problems, not only with the space station or human spacecraft, but also with satellite technology. It is a serious threat to astronauts, spacecraft and space exploration in general.

The VIMAL team will be looking at ways to use their sensing, computer vision and AI expertise to identify pieces of debris and track them for long periods of time as they orbit Earth.

Olivas extends a strong legacy of innovation in space exploration at USC. He joins fellow former NASA astronauts Paul Ronney and Garrett Reisman, who also serve as faculty at USC Viterbi, which is one of a core group of top schools with a distinct astronautical program. This wont be the first time Olivas and Reisman have worked together, they were classmates in the NASA astronaut program.

To date, school researchers have created innovations in spacecraft propulsion, space science, space environment, space communications, satellites and materials. Astronaut Neil Armstrong was a USC Viterbi alumnus, and the school has a dedicated Space Engineering Research Center at ISI.

USC Viterbi maintains strong connections with pioneering space organizations and alumni who design and build rockets and space launchers, communications and direct broadcasting satellites, navigational systems, crewed space vehicles and planetary probes.

At the end of the day, space is a human endeavor, said Olivas, who pointed out that part of being an astronaut involves looking out for one another. He seemed impressed by this aspect of the work done by VIMAL.

One thing that Ive come to appreciate at VIMAL is the inclusive nature of the collaborations; it is really inspirational, he said.

AbdAlmageed has very intentionally fostered the collaborative environment of VIMAL. Im proud that weve created a culture in the lab where everybody feels a sense of ownership and partnership. He continued, I couldnt have done something like hire Danny [Olivas] without the significant contributions of everyone in VIMAL who do the work day in and day out. This was a team effort. I am also very grateful to Dr. Craig Knoblock, ISI Executive Director, for supporting our ambitious initiatives and pursuits.

Olivas certainly seems excited to join the team, I look forward to sharing, learning and seeing where those opportunities might be with VIMAL, concluded the astronaut.

Published on October 3rd, 2022

Last updated on October 3rd, 2022

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Artificial Intelligence in Space - USC's Information Sciences Institute is on a Mission - USC Viterbi | School of Engineering - USC Viterbi School of...

Takeaways From the U.S. Patent and Trademark Offices Artificial Intelligence and Emerging Technologies Partnership Series Part Two of Three – JD…

On September 22, 2022, the U.S. Patent and Trademark Office (USPTO) conducted a live meeting for its Artificial Intelligence (AI) and Emerging Technologies (ET) Partnership Series. During this meeting, panelists from industry and the USPTO provided helpful tips on drafting and prosecuting patent applications that include AI components, including special tips for the biotech industry.Key takeaways from the meeting and published materials will be summarized in our Three-Part Blog Series.

Part Two Landscape of AI in Biotechnology

Nicholas Pairolero, Research Economist, USPTO provided an informative landscape of AI in Biotech. Overall, AI is increasingly used in biotechnology, however biotechnology AI patenting is diffusing across all technologies, owners, and inventor-patentees. The definition of AI in this panel corresponded with 8 component technologies, including planning/control, knowledge processing, speech, AI hardware, evolutionary computation, natural language processing, machine learning, and vision. Some interesting charts generated by Mr. Pairolero and presented during the panel are shown herein.

In this chart, machine learning applications, evolutionary computation, and knowledge processing in the biotechnology space corresponded with higher filing rates than patent application filings in general.

In this chart, Mr. Pairolero analyzed patent application filings in accordance with the country of the patent owner once the patent application granted. On the left, the patent owners from the U.S. that filed U.S. applications clearly outweighed patent owners from foreign countries. On the right, the patent owners filing applications related to AI Biotechnology patents is more dispersed.

In this chart, the allowance rate of AI biotechnology patent applications and non-AI patent applications is illustrated. As shown, there is a slightly higher allowance rate for biotechnology applications when they are not associated with AI verses the applications that are associated with AI.

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Takeaways From the U.S. Patent and Trademark Offices Artificial Intelligence and Emerging Technologies Partnership Series Part Two of Three - JD...

Artificial Intelligence (AI) in Medical Diagnostics Market worth $5.5 billion by 2027 – Exclusive Report by MarketsandMarkets – PR Newswire

CHICAGO, Oct. 5, 2022 /PRNewswire/ --Artificial Intelligence (AI) in Medical Diagnostics Marketis projected to grow from USD 1.0 billion in 2022 to USD 5.5 billion by 2027, at a CAGR of 39.9% from 2022 to 2027, according to a new report by MarketsandMarkets.The application of AI in medical diagnostics is growing at a fast pace owing to factors such as growing government initiatives to drive the adoption of AI-based technologies, rise in adoption of AI solutions by radiologists to reduce work load, the influx of big data, availability of funding for AI-based startups, and the growing number of cross-industry partnerships & collaborations.

However, the lack of a skilled AI workforce, ambiguity in regulations, and the reluctance among medical practitioners to adopt these solutions are factors expected to restrain the market growth.

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"Software segment is expected to grow at the highest rate during the forecast period."

The AI in medical diagnostics market is segmented based on components: software and services. The services segment dominated the market in 2021, while the software segment is estimated to grow at a higher CAGR during the forecast period. Software solutions help healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes.

"The Nurse Call system segment is estimated to account for the largest share of the global market in 2022"

The application market in AI in the medical diagnostics market is segmented into in vivo and in vitro diagnostics. The in vivo diagnostics segment commanded the largest share of 96.8% of this market in 2021. The large share of this segment can be attributed to the growing adoption of AI solutions by practitioners, as these solutions help reduce human errors and improve treatment efficacy.

"The Hospital segment is estimated to account for the largest share of the AI in medical diagnostics market."

Based on end users, the AI in medical diagnostics market is segmented into hospitals, diagnostic imaging centers, diagnostic laboratories, and other end users. The hospitals segment commanded the largest share of 64.1% of this market in 2021. The large share of hospital segment can be attributed to the rising number of diagnostic imaging procedures suggested as treatment options in hospitals, the inclination of hospitals toward the digitization of radiology patient workflow and automation of treatment procedures, rise in use of minimally invasive procedures in hospitals to focus on quality of patient care, and the rising adoption of advanced imaging modalities to improve workflow efficiency.

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"North America to dominate the AI in medical diagnostics market in 2022"

The AI in medical diagnostics market has been segmented into four main regional segments: North America, Europe, the Asia Pacific, and the Rest of the World. In 2021, North America accounted for the largest market share of this market.

However, the Asia Pacific market is projected to register the highest CAGR during the forecast period. The high growth rate of the Asia Pacific market can primarily be attributed to the growth strategies companies adopt in emerging markets, improved medical diagnostics infrastructure, rising geriatric population, increasing prevalence of cancer, and the implementation of favorable government initiatives.

Prominent players in this artificial intelligence in medical diagnostics market are Microsoft (US), NVIDIA (US), IBM (US), Intel Corporation (US), Google, Inc.(Subsidiary of Alphabet, Inc) (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics, Inc (US), Xilinx (US), InformAI LLC (US), HeartFlow, Inc (US), Enlitic, Inc (US), Day Zero Diagnostics, Inc(US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos Health (US), Nanox AI (Israel), Viz.ai, Inc (US), Quibin (Spain), Qure.ai (India), Therapixel (France), Aidoc (Israel), Koninklijke Philips N.V. (Netherlands), Lunit. Inc (South Korea), EchoNous Inc. (US).

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Using robots and artificial intelligence in greenhouse horticulture – hortidaily.com

Robotics and AI are not panaceas for solving labor shortages or other product-related problems. But in the next decade, robots and crop-support software are going to take certain tasks out of the hands of the high-tech greenhouse.

Growers are not going to produce more cheaply because of robotization and digitization, but mostly differently. Managing larger and more international companies will become easier, management skills will change, and closer cooperation with suppliers and customers will be possible. Pests can also be dealt with earlier, more sustainably, or more precisely, or the quality of the final product can be improved. All of this has a great potential value that is difficult to assess.

Lack of labor and the cost of labor are major drivers of robotization. The knowledge and skills of horticultural companies are indispensable in developing robots and AI. For robotics players, connecting with the right growers and quickly adapting products based on experience, service, and convenience are examples of success factors.

For growers, there are several options for applying innovations in robotics and AI. From co-investing in the companies to cautiously trying via a (trial) subscription.

In the future, an entirely different automated growing system is a smarter solution for certain crops. But this requires substantial investments and many adjustments, e.g., in varieties. Robotization and digitization also have disadvantages. Consider the growing dependence on large software companies, cyber risks, less flexibility, negative consumer perception, and less diversity of companies and products.

Read the report (in Dutch) here.

For more information:Rabobankwww.rabobank.com

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Using robots and artificial intelligence in greenhouse horticulture - hortidaily.com

China’s Artificial Intelligence Market Will Exceed US$26.7 Billion by 2026, according to IDC – IDC

SINGAPORE, October 4, 2022 IDC recently released the IDC Worldwide Artificial Intelligence Spending Guide. Data shows that total global IT investment in artificial intelligence (AI) in 2021 was US$92.95 billion, expected to increase to US$301.43 billion in 2026, and the compound annual growth rate (CAGR) was about 26.5%. As for the China market, IDC predicts that China's AI investment is expected to reach US$26.69 billion in 2026, accounting for about 8.9% of global investment, ranking second in the world among other countries. In recent years, more and more enterprises have become involved in the Digintelligence Era and started the deployment of digital transformation (DX) and intelligent upgrading, which has thus spawned more demand for AI. Driven by policies, technologies, and markets, AI empowering industries is becoming a mainstream development trend.

Technology Dimension

Over the next five years, the hardware market will be the largest primary market in China's AI market, accounting for more than half of the total AI investment. IDC predicts that China's IT investment in the AI hardware market will exceed US$15 billion in 2026, close to that of the AI hardware market size of the United States. With the gradual improvement of AI infrastructure construction, hardware growth will gradually slow down, with the five-year CAGR remaining around 16.5%. The server market, as the main part of the hardware market, will account for over 80% over the five-year forecast period.

At the same time, the services market will expand at a faster pace, with the five-year CAGR expected to be about 29.6%. Total investment in the services market is expected to exceed US$4 billion in 2026, nearly four times the investment in 2021, with significant market growth. The AI services market as defined by IDC is mainly dominated by the IT services segment. IDC predicts that IT services will lead the services market growth at a five-year CAGR of 31.0%.

From the perspective of AI software, under the joint promotion of the gradual development of technologies including machine learning (ML) and computer vision, China's policy environment, and the gradually diversified customer needs, China's AI software market share will increase year by year, and more than 25% of the AI marketrelated IT investment will flow to software in 2026. In terms of growth rate, the AI software market will become the fastest-growing primary market during the five-year forecast period, with a five-year CAGR of about 30.4%. From the perspective of the technology segment, AI platforms will absorb more than 70% of software-related spending over the next five years and will become an important driving force for software market growth at a five-year CAGR of 33.1%.

Industry Application

IDC predicts that the AI-related spending of users in the four major endpoint industries professional services, government, finance, and telecom will continue to lead over the five-year forecast period, which will collectively exceed 60% of the total spending of China's AI market. Specifically, local governments. AI spending will lead AI investment growth with a five-year CAGR of 24.3% and is expected to exceed US$2.51 billion in 2026; and it is expected that the central government will have a five-year CAGR of 19.4% and reach US$1.37 billion in 2026. The market size of the financial sector represented by banks will continue to grow over the next few years, with the five-year CAGR expected to exceed 21.0%. In addition, the construction, discrete manufacturing, and healthcare industries have also achieved high growth rates, jointly promoting the development and application of China's AI. In the future, AI will be applied in various industries, with expansion in both width and depth. It will further effectively support the industries to achieve intelligent marketing and decision-making. At the same time, the deep integration of AI with industries will stimulate more potential and foster more business opportunities.

Use Case

Based on research conducted on the industries mentioned earlier, IDC Worldwide Artificial Intelligence Spending Guide covers 29 typical key AI use cases, which will be updated to reflect the market dynamics. Three use cases, namely, augmented customer service agents, public safety and emergency response, and smart business innovation and automation, will continue to remain dominant. The three together will account for more than 30% during the five-year forecast period. Currently, there are mature applications of AI in various industry use cases. It completes independent judgment and behavior learning through technologies, such as deep learning, computer vision, and image recognition, to solve a variety of complex tasks, laying an important foundation for the intelligent transformation of the industry. In use cases, customer service agents are developing rapidly, with cases in finance, retail, and other industries. Public safety and emergency response are mainly involved in the field of government security, and biometrics is used for fingerprint and face recognition. In the future, with the increasing development of AI chips, 5G, and other technologies, AI will also be better implemented in more fields.

-Ends-

About IDC Spending Guides

IDC's Spending Guides provide a granular view of key technology markets from a regional, vertical industry, use case, buyer, and technology perspective. The spending guides are delivered via pivot table format or custom query tool, allowing the user to easily extract meaningful information about each market by viewing data trends and relationships.

For more information about IDC's Spending Guides, please contact Vinay Gupta at vgupta@idc.com or Xueqing Zhang at xuqzhang@idc.com

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About IDC

International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly-owned subsidiary of International Data Group (IDG), the world's leading tech media, data and marketing services company. To learn more about IDC, please visit http://www.idc.com. Follow IDC on Twitter at @IDCAP and LinkedIn. Subscribe to the IDC Blog for industry news and insights.

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China's Artificial Intelligence Market Will Exceed US$26.7 Billion by 2026, according to IDC - IDC

U.S. Artificial Intelligence Market in the Education Sector to Grow by $374.3 Million During 2022-2026 – ResearchAndMarkets.com – Business Wire

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence Market in the Education Sector in US 2022-2026" report has been added to ResearchAndMarkets.com's offering.

The artificial intelligence market in the education sector is poised to grow by $374.3 mn during 2022-2026, accelerating at a CAGR of 48.15% during the forecast period. The report on the artificial intelligence market in the education sector provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis of the current country market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing demand for ITS.

The artificial intelligence market in the education sector analysis includes the end-user segment and geographic landscape.

The artificial intelligence market in the education sector is segmented as below:

By End-user

By Type

This study identifies the increased emphasis on chatbots as one of the prime reasons driving the artificial intelligence market in the education sector growth during the next few years. Also, growing emphasis on crowdsourced tutoring and increasing emphasis on content analytics will lead to sizable demand in the market.

The report on the artificial intelligence market in the education sector covers the following areas:

Key Topics Covered:

1 Executive Summary

2 Market Landscape

3 Market Sizing

4 Five Forces Analysis

5 Market Segmentation by End-user

6 Market Segmentation by Type

7 Customer Landscape

8 Drivers, Challenges, and Trends

9 Vendor Landscape

10 Vendor Analysis

11 Appendix

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/jeorof

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U.S. Artificial Intelligence Market in the Education Sector to Grow by $374.3 Million During 2022-2026 - ResearchAndMarkets.com - Business Wire

Artificial Intelligence (AI) Market in BFSI Sector to Record USD 32.97 Billion growth between 2021 and 2026; Major Opportunities with Alphabet Inc….

NEW YORK, Oct. 4, 2022 /PRNewswire/ -- The artificial intelligence (AI) market size in the BFSI sector is set to grow by $32.97 bn between 2021 and 2026, progressing at a CAGR of 36.68%. According to Technavio, the market is fragmented, and the degree of fragmentation will accelerate during the forecast period. As market growth over the next five years is expected to remain high, the competitive rivalry among market vendors will remain limited. To know more about the vendor landscape Read Sample PDF Report Before Purchasing.

Technavio has announced its latest market research report titled Global Artificial Intelligence (AI) Market in BFSI Sector 2022-2026

The report identifies Alphabet Inc., Amazon.com Inc., Amelia US LLC, Baidu Inc, Glia Technologies Inc, Inbenta Technologies Inc., Intel Corp., International Business Machines Corp., Lexalytics Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Palantir Technologies Inc., Salesforce Inc., ServiceNow Inc., Verint Systems Inc, ZestFinance Inc, and SAP SEare some of the major market participants. Although the Enhanced operational efficiency with AI will offer immense growth opportunities, the need for high data quality will challenge the growth of the market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Artificial Intelligence (AI) Market in BFSI Sector 2022-2026: Segmentation

Artificial Intelligence (AI) Market in BFSI Sector is segmented as below:

The artificial intelligence (AI) market share growth in the BFSI sector by the banking segment will be significant during the forecast period. The use of cognitive technology, along with AI, helps banks to leverage digitalization and sustain competition with FinTech players. AI technologies are revolutionizing banking processes and the relationship between banks and customers. AI is expected to shape the future of the banking sector as it provides the power of advanced data analytics to fight against fraudulent transactions and improve compliance, all within seconds.

Story continues

48% of the market's growth will originate from North America during the forecast period. The early adoption and increasing investments in AI technologies by players such as IBM, Google, Microsoft, and AWS in the region will facilitate the artificial intelligence (AI) market growth inBFSI sector in North America over the forecast period. This market research report entails detailed information on the competitive intelligence, marketing gaps, and regional opportunities in store for vendors, which will assist in creating efficient business plans. Our artificial intelligence (ai) market in BFSI sector report covers the following areas:

Artificial Intelligence (AI) Market in BFSI Sector 2022-2026: Vendor Analysis

We provide a detailed analysis of around 25 vendors operating in the Artificial Intelligence (AI) Market in BFSI Sector, including some of the vendors such as vendors Backed with competitive intelligence and benchmarking, our research reports on the Artificial Intelligence (AI) Market in BFSI Sector are designed to provide entry support, customer profile and M&As as well as go-to-market strategy support.

Artificial Intelligence (AI) Market in BFSI Sector 2022-2026: Key Highlights

CAGR of the market during the forecast period 2022-2026

Detailed information on factors that will assist artificial intelligence (AI) market in BFSI sector growth during the next five years

Estimation of the artificial intelligence (AI) market in BFSI sector size and its contribution to the parent market

Predictions on upcoming trends and changes in consumer behavior

The growth of the artificial intelligence (AI) market in BFSI sector

Analysis of the market's competitive landscape and detailed information on vendors

Comprehensive details of factors that will challenge the growth of the artificial intelligence (AI) market in BFSI sector vendors.

Related Reports:

Artificial Intelligence (AI) Market In BFSI Sector Scope

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Accelerate at a CAGR of 36.68%

Market growth 2022-2026

$32.97 billion

Market structure

Fragmented

YoY growth (%)

33.99

Regional analysis

North America, APAC, Europe, Middle East and Africa, and South America

Performing market contribution

North America at 48%

Key consumer countries

US, Canada, China, Japan, and UK

Competitive landscape

Leading companies, competitive strategies, consumer engagement scope

Companies profiled

Alphabet Inc., Amazon.com Inc., Amelia US LLC, Baidu Inc, Glia Technologies Inc, Inbenta Technologies Inc., Intel Corp., International Business Machines Corp., Lexalytics Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Palantir Technologies Inc., Salesforce Inc., ServiceNow Inc., Verint Systems Inc, ZestFinance Inc, and SAP SE

Market Dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and future consumer dynamics, and market condition analysis for the forecast period.

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Table Of Contents :

1 Executive Summary

2 Market Landscape

3 Market Sizing

4 Five Forces Analysis

5 Market Segmentation by End-user

6 Customer Landscape

7 Geographic Landscape

8 Drivers, Challenges, and Trends

9 Vendor Landscape

10 Vendor Analysis

11 Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contact

Technavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: media@technavio.comWebsite: http://www.technavio.com/

Global Artificial Intelligence (AI) Market in BFSI Sector 2022-2026

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Artificial Intelligence (AI) Market in BFSI Sector to Record USD 32.97 Billion growth between 2021 and 2026; Major Opportunities with Alphabet Inc....

We Came Up With Bizarre Descriptions of DJsThen Used Artificial Intelligence to Bring Them to Life – EDM.com

There's nothing that blurs the line between frightening and fascinatingquitelike artificial intelligence.

And since artificial intelligence and electronic music are becoming moresymbiotic by the day, the staff here at EDM.comwanted to see just how far it could go in a visual sense. So we came up with bizarre descriptions of artists and fed them through A.I. art generators.

Some images are photorealistic. Others arefancifullydistorted. And the majority of them are flat-out creepy.

But we digress. Read on to see our weird and wonderful creations.

"TOKiMONSTA DJing in a neon sky arcade with golden canaries" by Jason Heffler.

Jason Heffler

"REZZ DJ as painted by Salvador Dal" by Nick Yopko.

Nick Yopko

"Flume creating his latest album in a psychedelic jungle" by Koji Aiken.

Koji Aiken

"Martin Garrix in his studio at the top of a cyberpunk skyscraper" by Konstantinos Karakolis.

Konstantinos Karakolis

"CloZee DJs underwater with neon jellyfish"byShakiel Mahjouri.

Shakiel Mahjouri

Charlotte de Witte DJing in a hurricane of music by Tessa Frey.

Tessa Frey

"TroyBoi DJing inside a technicolor candy shop rave"by Carlie Belbin.

Carlie Belbin

"Lane 8 DJing on top of a giant mushroom" by Mikala Lugen.

Mikala Lugen

"Daft Punk baking a cake on the moon" by Jarett Lopez.

Jarett Lopez

Shaq DJing at the base of an active volcano site with lightning in the sky by Cameron Sunkel.

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Cameron Sunkel

"Marc Rebillet in a robe in Manhattan singing to a sea of psychedelic flamingos"by Leah McClure.

Leah McClure

Porter Robinson DJing deep in the ocean while gasping for the last sight of sky" by Grecco Costamagna.

Grecco Costamagna

Mija DJing in a post-apocalyptic, punk rock cyberpunk dystopian rave by Brian Rapaport.

Brian Rapoport

"Calvin Harris playing piano on a rowboat in outer space" by Kyle B. Jones.

Kyle B. Jones

"Inside of a tropical coconut, Kygo plays a glittery piano surrounded by glowing flamingos"by Brooke Bierman.

Brooke Bierman

"Dillon Francis and a colorful piatawalking through a futuristic cityscape"- by Lennon Cihak.

Lennon Cihak

Perhaps no artist is more fitting for this A.I. endeavor than the iconic Aphex Twin, whose metaphysically madcap aesthetic chills the collective spine of the music industry to this day. Sowe had a little too much fun.

"Aphex Twin creating his own twisted synthesizer in a dystopian depraved hellscape surrounded by strange dark followers" by Saad Masood.

Saad Masood

Saad Masood

Saad Masood

"Aphex twin performs in a dystopian depraved hellscape for a crowd of dark souls" bySaad Masood.

Saad Masood

Saad Masood

Saad Masood

Editor's Note: The images in this article were generated usingWonder and Dream by WOMBO.

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We Came Up With Bizarre Descriptions of DJsThen Used Artificial Intelligence to Bring Them to Life - EDM.com

‘The Art of Trending’: AI Creating Artwork From Topics Trending on Twitter – Impakter

Thanks to the internet and social networks, we now have real-time access to global dialogues, trends, and news; by using artificial intelligence to create art based on contemporary debate topics, Woods Art Institutes The Art of Trending project examines the boundaries of art and what it is that makes an artist.

The institute describes it as the most contemporary art exhibition, curated by all of us and executed by AI.

It is impressive and frightening at the same time how far artificial intelligence has come in this area. The many questions that this raises for our industry are what I find particularly fascinating, Managing Director of INGO Hamburg Tobias Ahrans tells Impakter.

Launched in cooperation with creative agency INGO Hamburg and MAGIG Design + Technologies, the campaign began on September 19 on the Woods Art Institutessocial platforms and billboards around Germany. Due to its success, it has been extended and will last until the end of October.

The Art of Trendingsoftware employs hashtags gleaned from social listening to determine what is genuinely trending, notably in the realms of society, culture, the environment, and politics. The rest is pretty simple: Artificial Intelligence program DALL-E 2, which creates digital images from text descriptions, turns the hashtags or debate topics into artwork.

The open AI use policy prohibits DALL-E 2 from generating any inappropriate material.

Below are some examples of contemporary debate topics turned into art by artificial intelligence digital image generator DALL-E 2 as part of The Art of Trending project.

Recognizing that the art business is not an exception and that, like with any other sector, AI could eventually threaten artists jobs, Woord Art Institute explains that they dont view the technology as a job replacement but rather as a powerful tool for visual designers that embraces and understands.

As Ahrans tells us, the institute finds the experiment interesting not only on what AI can do but about sparking a conversation around new technologies related to art.

At the end of the day, our goal is to fuel a conversation with this experiment, Ahrans adds.

Furthermore, as tech art becomes more widely available and human art becomes more distinctive, the institute expects that AI image generators will in fact elevate the value of genuine artists work.

Interested in reading more about artificial intelligence making art? Last month, an AI-made work won a fine arts competition in the US. See here:

Art Made by AI Wins Fine Arts Competition

Editors Note:The opinions expressed here by the authors are their own, not those of Impakter.comIn the Featured Photo:Artificial intelligence generates digital image of: Iran Protests. Featured Photo Credit: Woods Art Institute.

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'The Art of Trending': AI Creating Artwork From Topics Trending on Twitter - Impakter

The Worldwide Artificial Intelligence in Diabetes Management Industry is Expected to Reach $2.2 Billion by 2027 – ResearchAndMarkets.com – Business…

DUBLIN--(BUSINESS WIRE)--The "Global Artificial Intelligence in Diabetes Management Market (2022-2027) by Device, Technique, and Geography, with Competitive Analysis, Impact of COVID-19, and Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence in Diabetes Management Market is estimated to be worth USD 590.32 million in 2022, and is expected to reach USD 2,235.15 million by 2027, growing at a CAGR of 30.51%.

Market dynamics are forces that impact the prices and behaviors of the stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors.

There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals. As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

The Competitive Quadrant

The report includes the Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

Why Buy This Report?

Market Dynamics

Drivers

Restraints

Opportunities

Challenges

Market Segmentation

The Global Artificial Intelligence in Diabetes Management Market is segmented based on Device, Technique, and Geography.

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/33g9eg

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The Worldwide Artificial Intelligence in Diabetes Management Industry is Expected to Reach $2.2 Billion by 2027 - ResearchAndMarkets.com - Business...