Archive for the ‘Artificial Intelligence’ Category

Stanford virtual conference to focus on COVID19 and artificial intelligence | Stanford News – Stanford University News

Russ Altman (Image credit: Courtesy Russ Altman)

The impact of COVID-19 on society and the way artificial intelligence can be leveraged to increase understanding of the virus and its spread will be the focus of an April 1 virtual conference sponsored by the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

COVID-19 and AI: A Virtual Conference, which is open to the public, will convene experts from Stanford and beyond. It will be livestreamed to engage the broad research community, government and international organizations, and civil society.

Russ Altman, one of the conference chairs, is an associate director of HAI and the Kenneth Fong Professor and professor of bioengineering, of genetics, of medicine, of biomedical data science, and, by courtesy, of computer science. He is also the host of the Sirius radio show The Future of Everything. He discusses the aims of the conference.

What was the idea behind the conference?

At HAI, we felt this was an opportunity to use our unique focus on AI and humanity to serve the public in a time of crisis. The issues involved in the pandemic are both nuanced and complex. Approaching it from multiple fields of expertise will help speed us toward solutions. The goal is to make leading-edge and interdisciplinary research available, bringing together our network of experts from across different schools and departments.

We have a world-class set of doctors and biological scientists at Stanford Medical School and theyll, of course, be involved. Well also have experts on AI, as well as the social sciences and humanities, to give their scholarly perspective on the implications of this virus, now and over time. The conference will be entirely virtual with every speaker participating remotely, providing an unpolished but authentic window into the minds of thinkers we respect.

What useful information will come out of the conference?

Were asking our speakers to begin their presentation by talking about the problem theyre addressing and why it matters. They will present the methods theyre using, whether scientific or sociological or humanistic, the results theyre seeing even if their work is preliminary and the caveats to their conclusions. Then theyll go into deeper detail that will be very interesting to academic researchers and colleagues. Importantly, we intend to have a summary of key takeaways afterward along with links to information where people can learn more.

We will not give medical advice or information about how to ensure personal safety. The CDC and other public health agencies are mobilized to do that.

What do you think AI has to offer in the fight over viruses like COVID-19?

AI is extremely good at finding patterns across multiple data types. For example, were now able to analyze patterns of human response to the pressures of the pandemic as measured through sentiments on social media, and even patterns in geospatial data to see where social distancing may and may not be working. And, of course, we are using AI to look for patterns in the genome of the virus and its biology to see where we can attack it.

This interdisciplinary conference will show how the availability of molecular, cellular and genomic data, patient and hospital data, population data all of that can be harnessed for insight. Weve always examined these data sources through more traditional methods. But now for the first time, and at a critical time of global crisis, we have the ability to use AI to look deeper into data and see patterns that were otherwise not visible previously, including the social and cultural impact of this pandemic. This is what will enable us to work together as a scholarly, scientific community to help the future of humankind.

Who do you hope will attend?

The core audience is scholars and researchers. We want to have a meaningful discussion about the research challenges and opportunities in the battle against this virus. Having said that, we know that there are many people with an interest in how scientists, researchers, sociologists and humanists are helping in this time of crisis. So were making the conference open to anyone interested in attending. It will be a live video stream from a link on our website, and available as a recording afterward.

What kind of policy effect do you hope the conference can have?

Good policy is always informed by good research. A major goal of HAI is to catalyze high-quality research that we hope will be heeded by policymakers as they work to craft responses to COVID-19 and future pandemic threats. So this will give insights to policymakers on what will be published in the coming months.

Register for the April 1 conference.

Learn more about the Stanford Institute for Human-Centered AI (HAI).

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Stanford virtual conference to focus on COVID19 and artificial intelligence | Stanford News - Stanford University News

Artificial Intelligence in the Global Defense Market, 2020-2028: Outlays Expenditures Over the Next 8 Years – Yahoo Finance

DUBLIN, March 20, 2020 /PRNewswire/ -- The "Global Artificial Intelligence for Defense - Market and Technology Forecast to 2028" report has been added to ResearchAndMarkets.com's offering.

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This report examines, analyzes, and predicts the evolution of AI technologies, markets, and outlays (expenditures) over the next 8 years, 2020-2028 in the AI for the defense industry. It also examines AI markets geographically, focusing on the top 95% of global markets, in the United States, Europe, and Asia.

In particular, this report provides an in-depth analysis of the following:

Key Topics Covered

1 Introduction1.1 Objective1.2 Market Definition1.3 Methodology1.4 Events Based Forecast Scenario1.5 Who Will Benefit from This Report?1.5.1 Business Leaders & Business Developers1.5.2 Aerospace & Defense Manufacturers1.5.3 Policy Makers, Analysts and Planners1.5.4 Tech Companies1.6 Language

2 Executive Summary2.1 Global Artificial Intelligence for Defense - Trends and Insights2.2 Major Findings2.3 Major Conclusions2.4 Important Tables and Graphs

3 Current and Future Technology Overview of Global Artificial Intelligence for Defense3.1 Introduction3.2 Types of Artificial Intelligence for Defense3.3 Current Technologies3.4 Future Technologies

4 Current and Future Market Overview of the Global Artificial Intelligence for Defense4.1 Introduction4.2 Number of AI-Powered Autonomous Systems - Per Region4.2.1 Americas4.2.2 Europe4.2.3 Asia4.2.4 Middle East4.2.5 Africa4.3 Current Markets4.3.1 North America4.3.2 Europe4.3.3 Asia4.3.4 Middle East4.3.5 Rest of the World4.4 Future Markets4.5 How to Reach Scale4.5.1 Challenges Involved in Scaling4.5.2 Strategy for Scaling

5 Market Analysis5.1 Introduction5.1.1 Industry Chain Structure5.1.2 Support for Local Industry5.1.3 Policy5.1.4 Drivers5.1.5 Inhibitors5.1.6 Opportunities5.1.7 Challenges5.2 Porter's 5 Forces Analysis5.2.1 Competitive Rivalry5.2.2 Supplier Power5.2.3 Threat of Substitution5.2.4 Threat of New Entry5.3 Macro Environment5.3.1 Macroeconomic Factors5.3.2 Political5.3.3 Economic5.3.4 Social5.3.5 Technological5.4 Forecast Factors

6 Global Artificial Intelligence for Defense by Region to 20286.1 Introduction6.2 Global Artificial Intelligence for Defense Market by Region Overview6.2.1 Americas - in Artificial Intelligence for Defense Market6.2.2 Europe - in Artificial Intelligence for Defense Market6.2.3 Asia - in Artificial Intelligence for Defense Market6.2.4 Middle East - in Artificial Intelligence for Defense Market6.2.5 Africa - in Artificial Intelligence for Defense Market

7 Global Artificial Intelligence for Defense by Technology to 20287.1 Introduction7.2 Global Artificial Intelligence for Defense by Technology Overview7.2.1 Global Artificial Intelligence for Defense by Technology - Integrated Solutions7.2.2 Global Artificial Intelligence for Defense by Technology - Data Analysis7.2.3 Global Artificial Intelligence for Defense by Technology - Platform7.2.4 Global Artificial Intelligence for Defense by Technology - Interface7.2.5 Global Artificial Intelligence for Defense by Technology - Hardware

8 Global Artificial Intelligence for Defense by Application to 20288.1 Introduction8.2 Global Artificial Intelligence for Defense Market by Application Overview8.2.1 Global Artificial Intelligence for Defense Market by Application - Intelligence, Surveillance and Reconnaissance (ISR)8.2.2 Global Artificial Intelligence for Defense Market by Application - Search and Rescue8.2.3 Global Artificial Intelligence for Defense Market by Application - Combat8.2.4 Global Artificial Intelligence for Defense Market by Application - Transportation8.2.5 Global Artificial Intelligence for Defense Market by Application - Explosive Ordnance Disposal8.2.6 Global Artificial Intelligence for Defense Market by Application - Mine Clearance8.2.7 Global Artificial Intelligence for Defense Market by Application - Firefighting8.2.8 Global Artificial Intelligence for Defense Market by Application - Others

9 Forecast Global Artificial Intelligence for Defense by Offering to 20289.1 Introduction9.2 Global Artificial Intelligence for Defense by Offering Overview9.2.1 Global Artificial Intelligence for Defense - Machine Learning9.2.2 Global Artificial Intelligence for Defense - Speech Recognition9.2.3 Global Artificial Intelligence for Defense - Emotion Recognition9.2.4 Global Artificial Intelligence for Defense - Computer Vision9.2.5 Global Artificial Intelligence for Defense - AI Optimized Hardware9.2.6 Global Artificial Intelligence for Defense - Robotic Process Automation9.2.7 Global Artificial Intelligence for Defense - Cyber Defense9.2.8 Global Artificial Intelligence for Defense - Biometric

10 Global Artificial Intelligence for Defense by Type to 202810.1 Introduction10.2 Global Artificial Intelligence for Defense Market by Type Overview10.2.1 Global Artificial Intelligence for Defense - Reactive Machine10.2.2 Global Artificial Intelligence for Defense - Limited Memory10.2.3 Global Artificial Intelligence for Defense - Theory of Mind10.2.4 Global Artificial Intelligence for Defense - Self Aware AI10.2.5 Global Artificial Intelligence for Defense - Artificial Narrow Intelligence10.2.6 Global Artificial Intelligence for Defense - Artificial General Intelligence10.2.7 Global Artificial Intelligence for Defense - Artificial Super Intelligence

11 Global Artificial Intelligence for Defense by End-users to 202811.1 Introduction11.2 Global Artificial Intelligence for Defense by End-users Overview11.2.1 Global Artificial Intelligence for Defense by End-users - Army11.2.2 Global Artificial Intelligence for Defense by End-users - Air Force11.2.3 Global Artificial Intelligence for Defense by End-users - Navy11.2.4 Global Artificial Intelligence for Defense by End-users - Defense Department

12 Events Based Forecast for the Global Artificial Intelligence for Defense to 202812.1 Introduction12.2 Events Forecast Factors12.3 Event Forecast by Regions12.4 Event Forecast by Offering12.5 Event Forecast by Type12.6 Event Forecast by Application12.7 Event Forecast by Technology12.8 Event Forecast by End-user

13 Leading Companies in the Global Artificial Intelligence for Defense Market13.1 Airbus Defence and Space13.1.1 Company Profile13.1.2 Products & Services13.1.3 Segment Revenue13.1.4 Financial Info (Revenues, Profit Last 5 Years)13.1.5 Recent Contract Wins13.1.6 Recent Projects Completed13.1.7 Strategic Alliances13.1.8 Artificial Intelligence for Defense - Products & Services13.1.9 SWOT Analysis13.2 BAE Systems13.3 Boeing Co.13.4 Elbit Systems13.5 Inmarsat13.6 Israel Aerospace Industries (IAI)13.7 Leonardo13.8 Lockheed Martin13.9 Northrop Grumman Corp.13.10 Saab13.11 Other Companies of Interest13.11.1 Alphabet13.11.2 Amazon13.11.3 AMD13.11.4 Apple Inc.13.11.5 Baidu13.11.6 Deep Mind Technologies13.11.7 Facebook13.11.8 General Vision Inc.13.11.9 Intel13.11.10 Microsoft13.11.11 Aptiv13.11.12 Open AI13.11.13 Qualcomm13.11.14 Tesla13.11.15 Yandex

14 Conclusions and Recommendations14.1 Major Conclusions and Recommendations14.2 Fulfilling the Business Objectives

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Artificial Intelligence in the Global Defense Market, 2020-2028: Outlays Expenditures Over the Next 8 Years - Yahoo Finance

Startup Spotlight: Forestry Machine Learning wants to help clients use artificial intelligence to improve business – Richmond.com

With businesses everywhere being disrupted by the coronavirus outbreak, it seems like a tough time to be an entrepreneur starting a new venture.

Yet the co-founders of the Richmond-based startup company Forestry Machine Learning say they are keeping a positive long-term outlook.

The startup specializes in helping clients implement a cutting-edge type of artificial intelligence called machine learning to improve their business strategies and operations, and the co-founders say they foresee demand only increasing for that service.

It is an interesting time to be launching a company, said David Der, the startups CEO. Co-founder Brian Forrester is chief revenue officer.

Overall, I am optimistic, Der said. Sure, there might be some setbacks nobody is really taking in-person meetings right now but a lot of the value we can deliver can be done virtually anyway.

Our sales strategy remains the same, he said. We are still prospecting and in business development stages, full speed ahead.

Machine learning is a subset of artificial intelligence that involves using computer algorithms to quickly analyze large amounts of data and learn from it. The tools can be used to make better predictions about how people and systems behave.

The Forestry part of the companys name is a nod to lingo within the artificial intelligence industry.

Machine learning, artificial intelligence, and the larger ecosystem around that, is really just coming of age, said Forrester, who is also co-founder of Workshop Digital, a Richmond-based digital marketing firm where he continues to work.

For the last three or four years, we have had access to more data than we have ever had before, Forrester said. Computing power has caught up to be able to process that. A lot of the companies I work with over 100 companies across the U.S. and Canada are still trying to figure out how to leverage that data to inform business strategy, reduce risk and increase profitability.

Machine learning can be used to improve financial forecasting, cybersecurity and fraud prevention, among other things, said Der, who brings to the startup a background in computer science.

Der was among a group of co-founders of Notch, a technology consulting company founded in Richmond in 2014 that specialized in data engineering and machine learning. In late 2017, Notch was acquired by financial services giant Capital One Financial Corp.

Der said he left Capital One in December after a two-year commitment and started working on creating the new business.

Entrepreneurship is really a passion of mine, Der said. In a way, we are picking up the torch where Notch left off two years ago. I also want to bring to the table my experience now from the financial services industry.

While machine learning can be utilized by many organizations, Der said the startup is targeting three primary industries: financial services, health care and digital marketing.

The goal of machine learning in digital marketing is to deliver the right message to the right person through the right medium at the right time, Der said.

Forrester brings deep experience in digital marketing through his company, Digital Workshop.

I have spent 11 years building a company, and we have been fairly successful, Forrester said. My role in this company [Forestry] is to build our sales and marketing strategy as we grow and follow Davids lead.

Will Loving and Scott Walker, both with Richmond-based Consult360, also are investing partners in the startup.

Forrester said he has experience navigating a startup during a time of economic disruption.

I dont think the problems that machine learning is trying to solve are going to go away just because of this, he said, referring to the coronavirus disruptions. In fact, they are more pervasive now than ever. Leveraging more computing power to tackle bigger problems is not going to go away.

Excerpt from:
Startup Spotlight: Forestry Machine Learning wants to help clients use artificial intelligence to improve business - Richmond.com

Is Your Company Using Artificial Intelligence To Transform An Industry? Nominations For The Forbes 2020 AI 50 List Are Now Open – Forbes

Is AI core to growing your business?

Artificial intelligence technology is powering big changes across all industries, but its tough to separate out the companies with truly transformative applications from marketing hype. Thats why Forbes is compiling a list of promising startups that are emerging as leaders in this space.

Is AI at the heart of what your company does, not just a driver for an auxiliary business or way to improve an existing product? We want to hear from you.

Nominations are now open for the second annual Forbes AI list, which seeks to highlight private companies that are applying artificial intelligence to solve problems in innovative ways.

Forbes, in partnership with Sequoia Capital and Meritech Capital, will evaluate hundreds of companies based on metrics including revenue, growth and valuation, with a panel of experts weighing in on how innovative and mission-critical each companys use of AI is (versus buzzwords thrown onto a slide-deck).

We welcome any U.S.-based private company to apply by filling out this form by Friday, April 10. The number of nominations wont influence our selection, so stick to just one per company, please.

We look forward to hearing from you!

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Is Your Company Using Artificial Intelligence To Transform An Industry? Nominations For The Forbes 2020 AI 50 List Are Now Open - Forbes

Innovations in Artificial Intelligence, Predictive Analytics, and BIM (2019) – ResearchAndMarkets.com – Yahoo Finance

The "Innovations in Artificial Intelligence, Predictive Analytics, and BIM" report has been added to ResearchAndMarkets.com's offering.

This edition of IT, Computing and Communications (ITCC) TechVision Opportunity Engine (TOE) provides a snapshot of the emerging ICT led innovations in artificial intelligence, predictive analytics, and building information modelling. This issue focuses on the application of information and communication technologies in alleviating the challenges faced across industry sectors in areas such as retail, agriculture, construction, healthcare, and industrial sectors.

ITCC TOE's mission is to investigate emerging wireless communication and computing technology areas including 3G, 4G, Wi-Fi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization and the Internet of Things and their new applications; unearth new products and service offerings; highlight trends in the wireless networking, data management, and computing spaces; provide updates on technology funding; evaluate intellectual property; follow technology transfer and solution deployment/integration; track development of standards and software; and report on legislative and policy issues and many more.

The Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets.

These innovations have a profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more. The global teams of industry experts continuously monitor technology areas such as Big Data, cloud computing, communication services, mobile and wireless communication space, IT applications & services, network security, and unified communications markets. In addition, we also closely look at vertical markets and connected industries to provide a holistic view of the ICT Industry.

Key Topics Covered:

Innovations in Artificial Intelligence, Predictive Analytics, and BIM

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/kmqkj0

View source version on businesswire.com: https://www.businesswire.com/news/home/20200320005350/en/

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Innovations in Artificial Intelligence, Predictive Analytics, and BIM (2019) - ResearchAndMarkets.com - Yahoo Finance