With AI holding the potential to revolutionize education and research and indeed every sector of society the University of Florida will work to ensure diversity, equity, and inclusion are at the center of this transformational change. Were thrilledUF is demonstrating such national leadership and placing community engagement and training a 21st Century workforce at the heart of its mission.

The University of Florida today announced a public-private partnership with NVIDIA that will catapult UFs research strength to address some of the worlds most formidable challenges, create unprecedented access to AI training and tools for underrepresented communities, and build momentum for transforming the future of the workforce.

The initiative is anchored by a $50 million gift -- $25 million from UF alumnus Chris Malachowsky and $25 million in hardware, software, training and services from NVIDIA, the Silicon Valley-based technology company he cofounded and a world leader in AI and accelerated computing.

Along with an additional $20 million investment from UF, the initiative will create an AI-centric data center that houses the worlds fastest AI supercomputer in higher education. Working closely with NVIDIA, UF will boost the capabilities of its existing supercomputer, HiPerGator, with the recently announced NVIDIA DGX SuperPOD architecture. This will give faculty and students within and beyond UF the tools to apply AI across a multitude of areas to improve lives, bolster industry, and create economic growth across the state.

This incredible gift from Chris and NVIDIA will propel the state of Florida to new heights as it strives to be an economic powerhouse, an unrivaled leader in job creation and an international model of 21st-century know-how, Florida Gov. Ron DeSantis said. Over the coming years, tens of thousands of University of Florida graduates with this unique AI-oriented background will create their futures and ours, transforming our workforce and virtually every field and every industry here in Florida and around the world.

"DOE's Artificial Intelligence & Technology Office is ready to partner to accelerate the development of UFs AI curricula and eager to seek UF and NVIDIA expertise on how to advance our own workforce training.

The University of Florida has been at the forefront of these efforts. Its partnership with NVIDIA to develop the HiPerGator3 supercomputer, the most powerful AI machine in US higher education,is a strong symbol of UFs commitment to AI and the growing role it needs to play in how we learn.

The goals UF has set to infuse the entire curriculum with AI training and educational opportunities is an example all universities should aspire to follow. It demonstrates that the University of Florida and NVIDIA understand the depth and the breadth of AIs impact as the demand for AI-literate workers will extend well beyond the tech sector.

As the Co-Chairs of the House AI Caucus, we applaud this new, comprehensive AI program. The initiative includeskey componentsof AI development: computing power, data, talent, and partnerships. We are also pleased to see the focus on equitable access to AI. Executing on this program will mean students at schools across the state and nation including K-12, state and local schools, HBCUs, and HSIs wont be left behind in the AI-driven future. The U.S. must continue to invest in AI, and efforts such as this can help light the way.

I am excited to hear the greatnews of the very generousgift UF alumni Chris Malachowsky and his softwarecompanyNVIDIA presented to UF. NVIDIAand the University of Florida partnering togetherto advance Artificial Intelligence research and opening this growing field to underrepresented communities. The University of Florida is home to some of the brightest forward-thinking minds in academia and the country. This partnership will most certainly help solidify UFs position asa national leader in AI research. This partnership is vital in helping the US stay in the forefront of AI leadership in the world, whileopening up the field to countless Americans.

UFs National AI Leadership

The partnership will be central to UFs vision to be a national leader in the application of AI, including an expansive plan to elevate its reach and impact in research, teaching, and economic development. It provides a replicable framework for future public-private cooperation, and a model for addressing societys grand challenges through interdisciplinary collaboration. By deploying AI across the curriculum, this powerful resource will address major challenges such as rising seas, aging populations, data security, personalized medicine, urban transportation and food insecurity.

UFs leadership has a bold vision for making artificial intelligence accessible across its campus, said Malachowsky, who serves as an NVIDIA Fellow. What really got NVIDIA and me excited was partnering with UF to go broader still, and make AI available to K-12 students, state and community colleges, and businesses. This will help address underrepresented communities and sectors across the region where the technology will have a profound positive effect.

Extensive Collaboration with NVIDIA

NVIDIAs technology powers two-thirds of the worlds 500 fastest supercomputers, including eight of the top 10. The third-generation HiPerGator will have access to NVIDIAs most advanced AI software and integrate 140 NVIDIA DGX A100 systems with 1,120 NVIDIA A100 Tensor Core GPUs and high-performance NVIDIA Mellanox HDR 200Gb/s InfiniBand networking to deliver 700 petaflops of AI performance.

Artificial intelligence is the most powerful technology force of our time, said Jensen Huang, founder and CEO of NVIDIA. Fueled by data and machine learning, AI is advancing at an exponential pace, impacting every industry from healthcare to transportation to the sciences. Through their generosity and vision, Chris and UF are providing a mighty foundation for students and faculty to harness this technology and drive discovery.

UF is the first institution of higher learning in the U.S. to receive DGX A100 systems, which are designed to accelerate diverse workloads, including AI training, inference, and data analytics.

NVIDIA will also contribute its AI expertise to UF through ongoing support and collaboration across the following initiatives:

As the grand challenges that the scientific and engineering communities face become more complex, the need for artificial intelligence and machine learning to both advance scientific knowledge and manage an increasingly complex technological environment becomes more important. The University of Floridas new supercomputing facility is an important addition to the AI ecosystem and will provide academic researchers with much needed access to computing power that can advance artificial intelligence far into the future.

Unlike traditional high-performance computing systems, this academic supercomputer is specialized to leverage AI simulation and inference, which are important tools in accelerating research areas including drug discovery, astrophysics, and natural hazards modeling. By partnering with NVIDIA, the University of Florida is able to leverage this state-of-the-art technology and use it to enhance the education and training of the next generation of researchers, technicians, and leaders.

This partnership can and should serve as a model of how universities, industry, and government can combine their respective strengths for the benefit of all. This will be vitally important in strengthening the U.S. supercomputing ecosystem, and by extension, U.S. economic competitiveness"

Computing power is at the heart of Artificial Intelligence, and this investment in the fastest AI supercomputer in academia will ensure that the U.S. stays on the cutting edge of research and development. This system, combined with investments in curriculum and critical national, state, and local partnerships, is a model for building an AI economy for all Americans. As the Chair of the Congressional Semiconductor Caucus, Im glad that American semiconductor companies like NVIDIA are leading the charge.

With Director Panchanathan now at the helm of the National Science Foundation, I look forward to seeing his vision for bringing AI supercomputing to other research centers such as the TACC in Austin, Texas.

Integrated AI Curriculum, Intelligent-Decision Support, Equitable Access

As a comprehensive institution, UF has a goal of bringing together students and faculty from across campusand across the state. It will be among the nations first to integrate AI across all disciplines and make it a ubiquitous part of its academic enterprise. It will offer certificates and degree programs in AI and data science, with curriculum modules for specific technical and industry-focused domains. The initiative includes a commitment from UF to hire 100 more faculty members focused on AI. They will join 500 new faculty recently added across disciplines -- many of whom will weave AI into their teaching and research.

More than ever before in my lifetime, people around the country and the globe are looking to universities to expand access to higher education and technology and to level the field of opportunity for all, UF President Kent Fuchs said. UF intends to meet that challenge, and this partnership will help us do it.

Within UF Health, UFs robust academic health center, AI systems are being deployed to monitor patient conditions in real time, making it the first health system to use deep-learning technology to generate patient viability data. Through a novel system known as DeepSOFA, Dr. Azra Bihorac and her team use AI systems to collect and organize a patients medical data so that doctors can make better-informed decisions. DeepSOFA is but one example of how AI technology will be put to use to bolster research and improve patient care at UF Health.

To ensure no community is left behind, UF plans to promote wide accessibility to these computing capabilities and work with other institutions to develop a talent pipeline able to harness the power of AI through several initiatives. These include:

This initiative will allow us to recruit and equip a diverse, talented cadre of faculty and students across multiple disciplines and bring them together with colleagues from government and the private sector to find solutions to our most important problems, said Dr. Cammy Abernathy, dean of UFs Herbert Wertheim College of Engineering.

University officials expect todays announcement will spark additional excitement among others who have significant resources and abilities related to AI, and reaffirmed their commitment to serve as a catalyst for those who wish to step up and join in this amazing adventure.

Steve Orlando July 21, 2020

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UF Announces $70 Million Artificial Intelligence Partnership with NVIDIA - University of Florida

The University of Florida on Tuesday announced a $70 million partnership that will bring artificial intelligence to the forefront of the schools technology programs and introduce the topic more broadly to the student body.

The joint effort with the California-based company NVIDIA will result in the hiring of 100 new faculty and touch every UF graduate with at least one class exposing them to artificial intelligence concepts, the university said. It also will give UF the fastest artificial intelligence supercomputer in higher education, officials said.

The discipline is a branch of computer science that has brought the world products like self-driving cars, food delivery robots and computers that engage humans in a game of chess. Artificial intelligence makes it possible for machines to perform human-like tasks by learning from experience and making adjustments.

Gov. Ron DeSantis, who was present for the Zoom announcement, said the initiative would attract students to UF from across the nation.

I think its going to help the state of Florida modernize our workforce, he said. I think well have an added boost as we seek to become an economic powerhouse and internally as we bounce back from the pandemic.

Provost Joseph Glover said more than 600 faculty and staff members have been involved so far in conversations on how to incorporate the subject of artificial intelligence into their disciplines.

We believe this is so important to our future and our students futures that every student who graduates from the University of Florida, no matter what their major is, should have the opportunity to acquire the knowledge, the training and the tools of artificial intelligence and data science, Glover said. This is not only important to our students but the nation.

Glover said the partnership will help catapult the University of Florida to the forefront of AI and create the next generation of AI-enabled workforce in this country.

The announcement laid out the financial details of the partnership: a $25 million gift from Chris Malachowsky, co-founder of NVIDIA and an alumnus of UFs Herbert Wertheim College of Engineering; $25 million in hardware, software, training and services from NVIDIA; and a $20 million investment from UF.

The supercomputer is expected to be installed by November. Its an upgrade from the existing UF supercomputer known as HiPerGator. Malachowsky said the machine will be among the worlds top 10 supercomputers, capable of processing vast amounts of data that can be used across many fields, including climate research and medicine.

In explaining why the company brought the partnership to Florida, Malachowsky described the state as a living laboratory for some of the really big problems of today for society, with its long coastline, large population, varied demographics and a workforce in need of upscaling to deal with the growing digital divide.

UF is in the process of infusing artificial intelligence into its curricula, Glover said. And, while not everyone will be expected to become a programmer, everyone will have exposure to it and the opportunity to be certified in that area, he said.

Certifications will include courses on ethics, bias and how artificial intelligence applies to certain disciplines. By spring, Glover said, he expects a survey course to be offered, and by next summer the school may offer more specific boot camps in artificial intelligence.

Cammy Abernathy, dean of the College of Engineering, said artificial intelligence is already being applied across disciplines to finding solutions for diabetes and as a means to combat climate change and red tide. Broadening access to the topic can lead to a more equitable society, she said.

Philosophers, lawyers and computer scientists are working together to ensure that AI does not further enforce the biases that are present in our society and does not intrude on the privacy and rights of the public, Abernathy said. These issues of fairness and access are important, so much so that they will be at the heart of this initiative.

Glover said the university will work to provide access to businesses, the K-12 education system, historically black colleges and universities and state and community colleges.

The population in Florida will have opportunities to train on this, Glover said.

Malachowsky said he hopes wealthy alumni in each state consider investing in artificial intelligence at their universities.

Rep. Michael T. McCaul, co-chair of the AI Caucus, said in a statement released by the university that the announcement serves as a model.

Computing power is at the heart of artificial intelligence, and this investment in the fastest AI supercomputer in academia will ensure that the U.S. stays on the cutting edge of research and development, he said.

Mori Hosseini, a member of UFs Board of Trustees and former chair of the Board of Governors, said Tuesdays announcement made him wish he could go back to school.

We are all witnessing a significant moment in history for the state of Florida and the University of Florida, he said.

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UF students, get used to this topic: artificial intelligence - Tampa Bay Times

An online app called Amica is now using artificial intelligence to help separating couples make parenting arrangements and divide their assets.

For many people, the coronavirus pandemic has put even the strongest of relationships to the test. A May survey conducted by Relationships Australia found 42% of 739 respondents experienced a negative change in their relationship with their partner under lockdown restrictions.

There has also been a surge in the number of couples seeking separation advice. The Australian government has backed the use of Amica for those in such circumstances. The chatbot uses artificial intelligence (AI) to make suggestions for how splitting couples can divide their money and property based on their circumstances.

But although such tools offer advantages such as convenience and reduced emotional distress, their applications remain limited. And over-relying on them could be a slippery slope.

Read more: Coronavirus: how the pandemic has exposed AIs limitations

According to Amicas website, it considers legal principles and applies them to your circumstances. In other words, the software draws on mass data (collected and embedded by its designers) from similar past cases to make suggestions to users.

Amica demonstrates AIs potential in solving legal problems in family disputes. Interestingly, its not the only tool of this kind in the legal field. There are a range of AI-powered family legal services used in Australia, including Penda and Adieu.

Penda aims to help victims of family violence by providing free legal and safety information. Its AI chatbot provides online legal advice and information without requiring a face-to-face meeting with a lawyer.

Adieu enables couples to achieve amicable financial and parenting agreements via its AI chatbot component Lumi, which can refer couples to mediators, counsellors, lawyers or financial advisers if required. Lumi also has a one-click disclosure tool designed to save time and money by using AI to analyse the financial records of both users.

Australias family law system is overburdened, resulting in long delays for families in the court system. Court proceedings are also expensive, and complex family law cases can cost each party more than A$200,000.

AI tools such as Amica and Adieu enable couples to resolve problems themselves and avoid the slow and expensive court process. This is especially true for couples who have commenced or are considering the separation process now, amid coronavirus restrictions.

Our evaluation of Adieu involved reviewing literature on justice apps and interviewing professionals including mediators, lawyers and financial advisers. We also surveyed 37 Adieu users to find out who would use such an app and how comfortable people were with them.

We found by giving couples dominion over the separation process, they were less likely to be emotionally stressed. Although our survey sample was relatively small, 76% of participants reported not feeling emotional distress. Of those who did, most said this was the result of existing circumstances.

One participant said:

Im pretty new to apps but am learning. Theyre not so bad, but dont really replace people. On the plus side, theyre neutral and dont judge you!

Despite a number of advantages, AI tools for settling legal disputes (much like many other AI tools) come with setbacks.

For instance, theyre not helpful in many cases. Amicas designers highlight the platform is only suitable for amicable separating couples with no complex situations involved, such as family violence. This is because at its current development level, AI-powered chatbots can only generate a relatively simple response from the information theyre given.

According to a 2016 survey by the Australian Bureau of Statistics, around 5.8 million Australians had experienced physical or emotional abuse from a partner.

Read more: Does your AI discriminate?

Further, Australian courts are required to consider each childs best interests when deciding on a family case. There are legitimate concerns that parenting and financial suggestions from AI-powered tools may ignore the needs of children, and only reflect the interests of parents.

There are also concerns around the use of AI in legal family cases more generally. For example, access to online platforms requires a certain amount of digital literacy and accessibility.

This disadvantages people without access to the internet, a smartphone or computer. Also, people may not have the technological skills needed to use apps such as Amica or Adieu.

Apart from family disputes, AI has also been controversially used in criminal cases for sentencing purpose. The COMPAS tool has come under fire on numerous occasions for its use in the US. Its risk assessment algorithms supposedly predict how likely a criminal is to reoffend.

Australias robodebt saga also showed how AI can contribute to problematic administrative decision making. In that debacle, welfare payments made on the basis of self-reported fortnightly income were cross-referenced against an estimated income, taken as an average of annual earnings reported to the Australian Tax Office. This was then used to auto-generate debt notices without human checks.

Read more: From robodebt to racism: what can go wrong when governments let algorithms make the decisions

Its clear AI comes with the potential for embedded bias. As the use of AI-powered technology continues for matters traditionally handled in the courts, a government strategy such as the European Commissions AI White Paper is needed to address the general challenges.

Along with this, an ethical framework with input from Australias legal industry should underpin AI use in the legal sector.

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People are using artificial intelligence to help sort out their divorce. Would you? - The Conversation AU

The use of artificial intelligence in agriculture is expected to surge as interest increases and technology develops, researchers say.

"It is already very prevalent in your Facebook feed, Google search and in self-driving vehicles," said Seth Murray, a Texas A&M University professor and corn breeder.

Artificial intelligence refers to a computer's ability to "learn" through its experiences and solve problems on its own.

The university recently sponsored a webinar onartificial intelligence uses in agriculture. The webinar was not targeted for farmers because no product is yet available, Murray said.

"I know the farmers I serve get really frustrated when I show them something and say they cant buy it," he said. "They should be aware the public agricultural research community is looking for opportunities to help them and this is a new tool like Google and smartphones recently and hybrid crops and the combine were before."

The biggest need isbetter decision making in agriculture and the food system, especially as all sectors become more consolidated and concentrated, Murray said.

Ian Stavness, an associate professor at the University of Saskatchewan, believes both computer science and agriculture can overcome the language challenges both are fairly "jargon heavy" with training and collaboration.

"Computer science specialist graduate students are definitely experts in machine learning and image analysis, but they have enough background to be able to talk sensibly with food scientists," he said. "Likewise, plant scientists know how to talk to computer scientists."

Artificial intelligenceadoption is expected to grow 65% each year through 2024, saidClaire Zoellner, a food safety scientist at iFoodDecisionSciences Inc., a software company in Ithaca, N.Y., that partners with produce companies and associations.

Zoellner showed examples of artificial intelligence for customer service and labor already in the food industry, such as ordering food with apps, Amazon Go stores with cashierless checkout and the use of robotics for distribution, processing and food preparation.

Augmented reality, in which people are put in realistic computerized scenarios, can also be used in employee training.

"Not only are all these reducing labor costs, they're providing these companies with more data about their customers," Zoellner said. "This is mainly used in marketing, getting out that food quicker, personalized marketing."

Opportunities include robotic monitoring of temperatures, preventing food-borne illnesses, or further reducing the risk of microbial contamination and improving response when notifying customers.

"We don't really expect these tools to do food safety tasks for us, but give us new insights and information so we can manage these risks sooner and more effectively," she said.

Kevin Nowka, computer engineering professor at Texas A&M, said agriculture and food systems should be attractive to the artificial intelligence community.

Social good is a core value for artificial intelligence, he said.

"Ag is as socially good as it gets," he said, pointing to efforts to eliminate hunger, poverty and bias and improve nutrition, health, the environment and sustainability.

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Artificial intelligence will have big role in ag's future, scientists say - Capital Press

CHICAGO, July 21, 2020 /PRNewswire/ -- According to the new market research report "Artificial Intelligence in Manufacturing Marketby Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, End-user Industry and Region - Global Forecast to 2026", published by MarketsandMarkets, the Artificial Intelligence in Manufacturing Marketis expected to be valued at USD 1.1 billion in 2020 and is likely to reach USD 16.7 billion by 2026; it is expected to grow at a CAGR of 57.2% during the forecast period. The major drivers for the market are the increasing number of large and complex datasets (often known as big data), evolving Industrial IoT and automation, improving computing power, and increasing venture capital investments.

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The hardware segment in the AI in manufacturing market projected to grow at highest CAGR during forecast period

The hardware segment is projected to grow at the highest CAGR from 2020 to 2026. Most of the AI hardware manufacturers have been in the business of providing the same hardware components for other technologies such as connected cars, machine vision cameras, and IoT for a long time. This will enable the companies to transfer the technology easily and accordingly develop the AI hardware. Moreover, the increasing participation of startups in AI hardware is complementing the growth of the hardware segment.

Quality control application of AI in manufacturing market to grow at highest CAGR during forecast period

The quality control application is expected to register the highest CAGR during the forecast period. Governments impose regulations on maintaining the quality according to certain benchmarks; for instance, the USD Food and Drug Administration (FDA) imposes stringent guidelines to regulate the quality of pharmaceutical products in accordance with the Current Good Manufacturing Practices (CGMPs). The growing use of robotics and deep learning technology in the manufacturing industry is expected to drive the growth of the AI in manufacturing market for the quality control application

Browsein-depth TOC on"Artificial Intelligence in Manufacturing Market"

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AI in manufacturing market in APAC projected to grow at highest CAGR from 2020 to 2026

The AI in manufacturing market in APAC is expected to grow at the highest CAGR during 20202026. The presence of a large number of industries, especially in countries such as China, India, and Taiwan is resulting in the adoption of AI in the manufacturing sector in APAC. The increasing adoption of AI-based robots is also fueling the market's growth in this region.

NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), Siemens AG (Germany), General Electric Company (US), General Vision Inc. (US), Progress Software Corporation (US), Micron Technology Inc., (US), Mitsubishi Electric Corporation (Japan), Sight Machine (US), Cisco Systems Inc., (US), and SAP SE (Germany) are the prominent players of AI in manufacturing market.

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Artificial Intelligence in Manufacturing Market Worth $16.7 Billion by 2026 - Exclusive Report by MarketsandMarkets - Yahoo Finance

Artificial Intelligence in Construction Market report explores a 360 degree holistic view of historical market, Covid 19 impact on the key players share, growth factors, trends, vendors profiles, regional demand, product type, applications and the actual process of whole Artificial Intelligence in Construction industry. In addition, the report also provides profiles of major companies along with detailed SWOT analysis, financial facts and key developments of products/service from the past three years.

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Note The Covid-19 (coronavirus) pandemic is impacting society and the overall economy across the world. The impact of this pandemic is growing day by day as well as affecting the supply chain. The COVID-19 crisis is creating uncertainty in the stock market, massive slowing of supply chain, falling business confidence, and increasing panic among the customer segments. The overall effect of the pandemic is impacting the production process of several industries. This report on Artificial Intelligence in Construction Market provides the analysis on impact on Covid-19 on various business segments and country markets. The reports also showcase market trends and forecast to 2027, factoring the impact of Covid -19 Situation.

Our Sample Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology

The reports cover key developments in the Artificial Intelligence in Construction Market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players.

Top Players Analysis:Autodesk, Inc., BuildingSP, Inc., Doxel Inc., IBM Corporation, Intel Corporation, NEMETSCHEK SE, NVIDIA Corporation, Salesforce.com Inc., SAP SE, and Smartvid.io, Inc. among others.

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global UAV market based on applications, offerings, platform and architecture. It also provides market size and forecast till 2027 for overall UAV market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 16 countries globally along with current trend and opportunities prevailing in the region.

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Table of content:

1 Introduction

2 Key Takeaways

3 Artificial Intelligence in Construction Market Landscape

4 Artificial Intelligence in Construction Market Key Industry Dynamics

5 Artificial Intelligence in Construction Market Analysis Global

6 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Component

7 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Services Model

8 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Deployment Model

9 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Vertical

10 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Geographical Analysis

11 Industry Landscape

12 Competitive Landscape

13 Artificial Intelligence in Construction Market, Key Company Profiles

14 Appendix

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Artificial Intelligence in Construction Market: 2020 Global Industry Trends, Growth, Share, Size and 2027 Forecast Research Report - Cole of Duty

]]> The FLY AI report sets out key steps towards a stronger adoption of AI. Credit: EUROCONTROL.

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British mathematician and scientist Alan Turing first looked into computing intelligence in 1950. In a paper called Computing Machinery and Intelligence, he suggested using a now-famous Imitation Game to test a machines sentient capabilities, which eventually laid the groundwork for the development and discovery of artificial intelligence (AI).

Decades later, AI and its subsets machine learning and deep learning are set to influence the future of many sectors, including aviation. Over the last few years, AI has found a wide array of applications in the industry from ground handling services to airport security and air traffic management (ATM) and there is now scope for more.

This is the argument of the recently-published FLY AI report, which sets out key steps towards a stronger adoption of AI, machine learning and other digital tools in several areas of aviation. Released by the newly formed European Aviation High Level Group on AI, the paper draws upon expertise from key players in the sector. These include leader EUROCONTROL, the Single European Sky ATM Research (SESAR) Joint Undertaking, the International Air Transport Association, Airbus and Airport Council Internationals European division.

Alongside debunking some myths around AI, the paper identifies the most promising areas for its uptake. It also features a FLY AI Action Plan that outlines future measures to better integrate the technology in ATM and other segments of aviation.

AI has been around for more than 60 years but has gained ground more recently, thanks to advances in computing and access to data, comments SESAR JU executive director Florian Guillermet. Machine learning and deep learning are helping to create applications that can learn autonomously and advise on complex problems. Aviation is no stranger to the virtues of AI.

The aviation industry has started to exploit the potential of machine learning algorithms on non-safety critical applications.

In recent times the technology has gained traction in segments such as intelligent maintenance, engineering and prognostics tools, supply chains and customer services. The sector is now eager to find more applications for AI, with some European countries particularly Ireland, Finland, Cyprus, Luxembourg, Sweden and the Netherlands leading the way.

The aviation industry has started to exploit the potential of machine learning algorithms on non-safety critical applications, adds EUROCONTROL head of infrastructure division Paul Bosman. Recently, significant effort has been put on adapting the current certification framework to the specific characteristics of AI applications. With AI, the industrys focus on cybersecurity has also increased.

Based on this assumption, the report aims to demystify and accelerate the use of AI in aviation and ATM in particular, says Guillermet. This field directly involves SESAR, which has been coordinating all EU research and development activities in ATM since 2007 and actively contributed to the production of the report. We also looked at the future evolution in the use of AI, he continues, in particular with the development of joint human-machine cognitive systems.

On the other hand, EUROCONTROL has acted as leader of the project under the European Aviation High Level Group on AI. The group was formed during EUROCONTROLs inaugural conference on AI that took place in May last year.

Guillermet explains that Europe has a strong basis of expertise and knowledge to further develop AI for ATM. Here, automation can help improve operational efficiency in different segments of aviation.

For instance, he says, machine learning digital assistants can mine huge amounts of historical data to support human operators on the ground or in the cockpit to make the best possible decisions.

Within this framework, the FLY AI report identified four areas where AI can help tackle current and future challenges. These are airspace capacity, which is rapidly running out in Europe, the climate change crisis, digital transformation and new levels of complexity in the integration of unmanned aircraft in an already overcrowded airspace.

Machine learning digital assistants can mine huge amounts of historical data to support human operators on the ground or in the cockpit.

AIs ability to identify patterns in complex real-world data that human and conventional computer-assisted analyses struggle to identify makes it extremely well-suited to the aviation sector, says Bosman. AI has the potential to transform aspects of the aviation sector, enabling ATM functions to be performed in entirely different ways in the future.

Bosman also believes that automation can play a pivotal role in improving the industrys environmental credentials. By accelerating the digital transformation in terms of optimising trajectories, creating green routes and increasing prediction accuracy, he says, AI could make a real difference to mitigating the environmental impacts of aviation, in addition to providing decision-makers and experts with new features that could transform the ATM paradigm in terms of new techniques and operating procedures.

In addition, better use of data will help increase and improve predictions with more sophisticated tools, while also boosting the scalability, efficiency and resilience of the current ATM system. Lastly, the technology can enhance safety in segments such as cybersecurity, conflict detection, traffic advisory and resolution tools.

A key takeaway from the report is that stronger cooperation is needed to integrate AI in the existing aviation architecture. The aim is to create an ecosystem involving industry, research institutes, start-ups, policymakers and all relevant stakeholders, in which all conditions are met to progress collectively on this, says Guillermet. No one entity can address it alone.

In response to this need, the reports FLY AI Action Plan looks at the whole value chain from research to implementation and provides stakeholders with a call for action.

According to Bosman, the plan identifies six accelerators that will help achieve this purpose. It is now critical that the community gets together, he adds. A way forward would be to set up a community of practice.

The aim is to create an ecosystem involving industry, research institutes, start-ups, policymakers and all relevant stakeholders.

The first step will be developing a federated data foundation and AI-infrastructure that will grant access to data and enable the creation of an AI aviation partnership. In addition, the European Aviation High Level Group on AI suggests launching specific aviation/ATM training, reskilling/upskilling programmes, change management, a knowledge-based toolbox, and European AI aviation/ATM master classes to share best practices. Awareness and demystification campaigns should also be included.

Meanwhile, the industry will also have to build an AI aviation/ATM community to attract future experts to the sector. This, Bosman concludes, will help consolidate community expertise.

Both EUROCONTROL and SESAR believe that the ongoing coronavirus crisis could help foster automation in the industry despite the challenges that it is causing. The crisis has shown the limits and significant efforts required when using the current manual approach or analytical tools to try to understand the impact of the crisis, predict and help business recovery, says Bosman.

The crisis has shown the limits and significant efforts required when using the current manual approach.

Specifically, AIs reliance on historical data sets on which to train neural networks means that in the event of a second wave of the pandemic, using these data sets will help improve crisis response. As a precaution in the face of such a risk, it makes sense to gather and store all possible data related to the virus and its impact. This is so that they can be used to develop new AI applications that could support the aviation industry in dealing with any future waves of Covid-19 or other pandemics.

In addition, Guillermet says that the pandemic is shining light on the importance of new technologies to help businesses through a crisis. Mastering these technologies and accelerating our plans for a digital Europe sky will deliver an aviation operating environment, which is more resilient, scalable and economically and environmentally sustainable in the long run, he says.

Because aviation is one of the industrial sectors most impacted by the coronavirus pandemic, it should further accelerate the adoption of AI, Bosman concludes. AI can really help transform the industry, provide better decision-making tools, and improve industrial and operational efficiency.

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John Allen and Darrell West discuss artificial intelligence on The Lawfare Podcast Skip to main content Editor's Note:

This podcast episode originally appeared on the Lawfare blog.

Darrell West and John Allen recently spoke about their new Brookings book Turning Point: Policymaking in the Era of Artificial Intelligence with Benjamin Wittes on The Lawfare Podcast. Darrell West is a senior fellow in the Center for Technology Innovation and the vice president and director of Governance Studies at the Brookings Institution. John Allen is the president of Brookings and a retired U.S. Marine Corps four-star general. In this podcast episode, West and Allen describes what AI is, how it is being deployed, why people are anxious about it, and what we can do to move forward. You can download or listen to the episode in the podcast player below.

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John Allen and Darrell West discuss artificial intelligence on The Lawfare Podcast - Brookings Institution

SAN FRANCISCO, July 21, 2020 (GLOBE NEWSWIRE) -- Sisu, the fastest and most comprehensive diagnostic analytics platform, has been named a 2020 Hot Vendor in Artificial Intelligence by Aragon Research, Inc.

Aragon Researchs Hot Vendor Report identifies noteworthy and innovative vendors transforming their markets and driving change for their customers. Sisu was founded by Peter Bailis, associate professor at Stanford and co-leader of the DAWN lab, whose research is focused on making it dramatically easier to build and deploy machine learning-enabled applications.

Theres a disconnect between a companys ability to collect incredibly rich data and their ability to extract real value from it, said Peter Bailis, CEO and Founder of Sisu. We built Sisu to help data-driven businesses do one thing incredibly well - understand why their metrics are changing, fast enough to inform daily operational decisions.

Sisu is built on a novel machine-learning engine, purpose-built to handle the kind of high-volume, high-dimensional data enterprises are collecting in cloud data warehouses. Sisus cloud-native platform enables unmatched analytics speed and result quality, processing hundreds of columns and millions of records in seconds. Unlike conventional BI tools, Sisu automates the manual, rote work of data exploration and surfaces useful explanations in even the most complex data sets.

Read more about the Aragon Research Hot Vendor Report here: https://aragonresearch.com/special-report-aragon-research-hot-vendors-for-2020-part-iii/

About SisuSisu is the fastest and most comprehensive diagnostic analytics platform, helping analysts rapidly diagnose why critical business metrics are changing. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisus diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit https://sisudata.com/.

Required Disclaimer:Aragon Research does not endorse vendors, or their products or services that are referenced in its research publications, and does not advise users to select those vendors that are rated the highest. Aragon Research publications consist of the opinions of Aragon Research and Advisory Services organization and should not be construed as statements of fact. Aragon Research provides its research publications and the information contained in them "AS IS," without warranty of any kind.

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(Bloomberg Opinion) -- This year is likely to be remembered for the Covid-19 pandemic and for a significant presidential election, but there is a new contender for the most spectacularly newsworthy happening of 2020: the unveiling of GPT-3. As a very rough description, think of GPT-3 as giving computers a facility with words that they have had with numbers for a long time, and with images since about 2012.

The core of GPT-3, which is a creation of OpenAI, an artificial intelligence company based in San Francisco, is a general language model designed to perform autofill. It is trained on uncategorized internet writings, and basically guesses what text ought to come next from any starting point. That may sound unglamorous, but a language model built for guessing with 175 billion parameters 10 times more than previous competitors is surprisingly powerful.

The eventual uses of GPT-3 are hard to predict, but it is easy to see the potential. GPT-3 can converse at a conceptual level, translate language, answer email, perform (some) programming tasks, help with medical diagnoses and, perhaps someday, serve as a therapist. It can write poetry, dialogue and stories with a surprising degree of sophistication, and it is generally good at common sense a typical failing for many automated response systems. You can even ask it questions about God.

Imagine a Siri-like voice-activated assistant that actually did your intended bidding. It also has the potential to outperform Google for many search queries, which could give rise to a highly profitable company.

GPT-3 does not try to pass the Turing test by being indistinguishable from a human in its responses. Rather, it is built for generality and depth, even though that means it will serve up bad answers to many queries, at least in its current state. As a general philosophical principle, it accepts that being weird sometimes is a necessary part of being smart. In any case, like so many other technologies, GPT-3 has the potential to rapidly improve.

It is not difficult to imagine a wide variety of GPT-3 spinoffs, or companies built around auxiliary services, or industry task forces to improve the less accurate aspects of GPT-3. Unlike some innovations, it could conceivably generate an entire ecosystem.

There is a notable buzz about GPT-3 in the tech community. One user in the U.K. tweeted: I just got access to gpt-3 and I can't stop smiling, i am so excited. Venture capitalist Paul Graham noted coyly: Hackers are fascinated by GPT-3. To everyone else it seems a toy. Pattern seem familiar to anyone? Venture capitalist and AI expert Daniel Gross referred to GPT-3 as a landmark moment in the field of AI.

I am not a tech person, so there is plenty about GPT-3 I do not understand. Still, reading even a bit about it fills me with thoughts of the many possible uses.

It is noteworthy that GPT-3 came from OpenAI rather than from one of the more dominant tech companies, such as Alphabet/Google, Facebook or Amazon. It is sometimes suggested that the very largest companies have too much market power but in this case, a relatively young and less capitalized upstart is leading the way. (OpenAI was founded only in late 2015 and is run by Sam Altman).

GPT-3 is also a sign of the underlying health and dynamism of the Bay Area tech world, and thus of the U.S. economy. The innovation came to the U.S. before China and reflects the power of decentralized institutions.

Like all innovations, GPT-3 involves some dangers. For instance, if prompted by descriptive ethnic or racial words, it can come up with unappetizing responses. One can also imagine that a more advanced version of GPT-3 would be a powerful surveillance engine for written text and transcribed conversations. Furthermore, it is not an obvious plus if you can train your software to impersonate you over email. Imagine a world where you never know who you are really talking to Is this a verified email conversation? Still, the hope is that protective mechanisms can at least limit some of these problems.

We have not quite entered the era where Skynet goes live, to cite the famous movie phrase about an AI taking over (and destroying) the world. But artificial intelligence does seem to have taken a major leap forward. In an otherwise grim year, this is a welcome and hopeful development. Oh, and if you would like to read more, here is an article about GPT-3 written by GPT-3.

This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners.

Tyler Cowen is a Bloomberg Opinion columnist. He is a professor of economics at George Mason University and writes for the blog Marginal Revolution. His books include "Big Business: A Love Letter to an American Anti-Hero."

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Artificial Intelligence Is the Hope 2020 Needs - Yahoo Finance