Downloads & Free Reading Options - Results

Artificial intelligence is shaping healthcare in Canada and around the world. The role of AI in delivering care will evolve and, indeed, grow. As a series of tools, it offers opportunities for patients and practitioners; yet, as with any technology, it comes with risks. As with any tool, AI will only be as good as those who create and operate it. Given who we are - and our track record - that ought to give us pause.Understanding, interrogating, and mobilizing new technologies requires care, diligence, and diversity. When it comes to equitable, accessible healthcare, we require heaps and heaps of such considerations. So, in this episode we ask: What does artificial intelligence mean for the future of equitable, accessible healthcare? On this episode of Open to Debate, David Moscrop talks with Dr. Rim Khazal, an expert on AI policy who holds a PhD in Neuroscience from Carleton University.

A.I, what do we think about it? IDK but I'm sure we make zero sense. Let us know what you think @beeroverchatter 

A.I, what do we think about it? IDK but I'm sure we make zero sense. Let us know what you think @beeroverchatter 

In scholarly publishing, artificial intelligence chatbots (AICs)—advanced conversational programs—are emerging as generative artificial intelligence (AI) tools that can support the peer review process by automating tasks, such as identifying methodological flaws, verifying references, and improving language clarity. These tools hold potential to enhance efficiency, reduce reviewer workload, and address inconsistencies in peer review quality. However, their integration also raises significant challenges, including concerns about reliability, ethical implications, and transparency in decision-making. Peer review, a critical component of scholarly publishing, is already under strain due to increasing demands on reviewers and longstanding issues such as variability in review quality and potential biases. AICs have been proposed as tools to assist and augment the peer review process, for example, by ensuring clarity, completeness, and logical stringency of content. However, little is known about how peer reviewers perceive their role, utility, and potential impact. This study will conduct an international cross-sectional survey to assess peer reviewers’ attitudes and perceptions towards AICs in the peer review process. The survey aims to explore reviewers’ familiarity with AI, perceived benefits and challenges, ethical concerns, and anticipated future roles for AICs in peer review. Findings will provide insights to guide the development of policies and best practices for the ethical and effective integration of AICs in peer review.

In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power.

The podcast where we get personal with notable Winnipeggers Nicolas Bueno and Kanen Ling are back this week with a new episode of  Winnipeg's  Finest! Today's guest is Nic Casson, and we talk about artificial intelligence, the future of humanity and so much more! Catch a new episode every Monday! We are growing so fast and appreciate every single fan and act of support and appreciation! Make sure to get more content by following us on social media: Twitter and Instagram: @wpgsfinestpod Unity Underwear: https://unityunderwear.com/ Use our code "WPGSFINEST" for 20% off all products!! JELLYFISH FLOAT SPA: CODE FOR 15% OFF EVERY FLOAT: "wpgsfinest" Instagram: @jellyfishfloatspa Twitter: @floatwinnipeg  website: jellyfishfloatspa.com (204) 294-9890 894 St. Mary's Interviewee's social media: Instagram: @niccasson BEATS: Kav Gandhi: (https://soundcloud.com/kavgandhi) --- Support this podcast: https://podcasters.spotify.com/pod/show/nicolas-bueno/support

Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers including myself to get into the field. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon. Here's the outline

Artificial intelligence improvisation (AI improv) is an innovative form of improvised theatre that involves at least one human actor performing lines provided by an artificial intelligence (AI) chatbot (Lösel et al., 2020). While methods of incorporating chatbots into improvised theatre have been tested and refined for several years, this study aims to investigate whether watching AI improv can change people's impressions of chatbots and AI in general. To assess this, among other scales, we will use the recently developed ATTARI-12 (Stein et al., 2024): A unidimensional measure of general attitudes towards AI. One group of participants (group A) will be presented with a video of an AI improv scene. The effect of this intervention on participants’ impressions of AI (measured pre- and post-intervention) will be compared to the effect of watching a video of a generic improv scene (group B) and the effect of reading an AI-related article (group C). Based on results from a pilot survey, we expect our main intervention to generally have a positive impact on participants' attitudes towards AI, such as increasing their intention to use chatbots if possible.

On today's show, CEO of PORTpass Zak Hussein and Ritesh Kotak, a cybersecurity tech analyst join the show to talk about privacy and security concerns surrounding the private vaccine verification app Portpass. We discuss why there's a need for concrete protections from artificial intelligence threatening human rights with Sarit Mizrahi, a Ph.D. law candidate at the University of Ottawa. Plus, what can the world learn from the Canada-China prisoner swap? We hear from David Webster, an associate professor of history at Bishop's University.Learn more about your ad choices. Visit megaphone.fm/adchoices

Despite the existence of studies and reviews focusing separately on artificial intelligence (AI) or electronic health records (EHRs), there is a gap in the literature regarding how these technologies work together to promote patient safety. Therefore, this scoping review aims to map the available evidence on the use of artificial intelligence applied to electronic health records as a strategy to promote patient safety across different levels of care and healthcare settings. This scoping review will be guided by the methodology proposed by the Joanna Briggs Institute (JBI), using the PCC mnemonic (Population, Concept, Context) to define the inclusion criteria. Various sources of evidence will be considered — including primary studies, reviews, technical documents, and grey literature — in Portuguese, English, and Spanish. A systematic search will be conducted across databases and institutional repositories. Data analysis will be both descriptive and thematic, followed by a narrative synthesis of the findings, identification of knowledge gaps, and recommendations for future research and professional practice.

Image Credit: Nick AndersonNEWS[28:37] Helicopter Pilot Killed in NYC Skyscraper Crash[37:56] Passenger Mistakes Exit Door for Toilet on PIA Flight | The Express Tribune[40:56] Delta Rescues Stranded Group of Students after Canceled American Airlines flight[44:41] Collins GPS outage grounds regional flights[55:29] Stratolaunch, World's Largest Airplane, is Grounded after a Single Flight - Aviation News and ServicesFEEDBACK[1:01:27] Micah/Mark Roboff - Meet up Interview, Part 2[1:14:27] Tim - New Listener - On His Journey to Becoming an Airline Pilot[1:18:39] Swedish Gustav - Pilots are Losing Their Basic Flying Skills[1:53:18] Greg - Simulator Training[2:00:43] Carlos - Can a Pilot *feel* a Stall in a Passenger Jet?[2:12:34] Plane Tale - Daks on D-Day - Pt 2[2:30:40] Markus - Ergonomics of Flight Controls (Right-Handed in the Left Seat)[2:40:42] Magnus - Hands off my stick![2:51:28] Dave - ILS Hacking?ABOUT RADIO ROGER\"Radio Roger\" Stern has been a TV and Radio reporter since he was a teenager. He's won an Emmy award for his coverage in the New York City Market. Currently you can hear his reporting in New York on radio station 1010 WINS, the number one all-news station in the nation. Nationally you can hear him anchor newscasts on the Fox News Radio Network and on Fox's Headlines 24-7 service on Sirius XM Radio. In addition Roger is a proud member of and contributor to the APG community. VIDEOAudible.com Trial Membership Offer - Get your free audio book today!Give us your review in iTunes!I'm \"airlinepilotguy\" on Facebook, and \"airlinepilotguy\" on [email protected] airlinepilotguy.comATC audio from http://LiveATC.netIntro/outro Music, Coffee Fund theme music by Geoff Smith thegeoffsmith.com Dr. Steph's intro music by Nevil Bounds Capt Nick's intro music by Kevin from Norway (aka Kevski)Doh De Oh by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100255 Artist: http://incompetech.com/Copyright (c) AirlinePilotGuy 2019, All Rights Reserved Airline Pilot Guy Show by Jeff Nielsen is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

No Description

This study aims to systematically review the literature on the application of AI in RDM in university libraries.

Human flourishing, the optimal state of well-being, is essential for all. Over the past 20 years, substantial research has been devoted to understanding human flourishing. As the field of artificial intelligence rapidly advances, researchers argue that the existence of sentient AIs is only a matter of time and deliberate intent. Just as flourishing is important for humans, we propose that it should also be considered important for AIs. We are the first to explore the concept of AI flourishing. In this pioneering study, we aim to explore what AI flourishing might entail through a two-part design: In Part 1, we will prompt various state-of-the-art Large Language Models (LLMs) to describe what flourishing means to them as LLMs. Using their qualitative responses, we will conduct a thematic analysis to identify key themes and develop a preliminary AI flourishing framework. In Part 2, we will present the LLMs with the themes identified in Part 1 and ask them to rank the importance of each theme. We will compare this framework with existing human flourishing models to examine how LLMs conceptualize flourishing relative to humans. We will also compare the importance of each flourishing aspect with human priorities in flourishing. Drawing on the findings from both parts, we will discuss how human and AI flourishing overlap (likely reflecting the influence of human data on LLM training) and how they diverge, offering a novel theoretical contribution to the understanding of flourishing beyond the human context.

Pain management in non-communicative end-stage patients represents one of the greatest ethical and clinical challenges within palliative care, due to the multidimensional complexity of pain and the impossibility of resorting to verbal self-reports. Traditional tools, such as behavioral scales, have provided partial solutions, but still face limitations related to subjectivity and the workload of clinical staff. In this context, artificial intelligence (AI) emerges as a promising tool to improve pain assessment in this vulnerable population. Its ability to analyze multimodal patterns in real time-including physiological, behavioral, and neurological signals-offers opportunities for more objective and accurate assessment of suffering. This project aims to map the available scientific evidence on the use of AI technologies in the assessment of pain in non-communicative adult terminally ill patients, in order to identify advances, limitations, ethical implications and opportunities for implementation in palliative clinical settings.

A backup of the "Taxonomy of Artificial Intelligence" wiki (database name: aitaxonomywiki ) on Miraheze , self-generated by Miraheze itself every month to honor our backups commitment.

This research project aims to explore how Artificial Intelligence (AI) and Machine Learning (ML) models are currently being applied to social media platforms for the prevention of substance use. The rapid expansion of social media has created a vast digital environment where substance-related content, peer influence, and behavioral patterns can be monitored and analyzed. AI/ML technologies have the potential to detect substance use trends, identify at-risk individuals, and optimize intervention strategies in real time. The primary objectives of this study are to (1) examine existing AI/ML applications in substance use prevention through social media analysis, (2) highlight challenges and opportunities associated with integrating AI/ML in digital public health initiatives. This research will synthesize evidence from recent studies, government reports, and AI-driven intervention programs to provide a comprehensive assessment of current advancements in the field. The expected outcomes include an in-depth understanding of how AI/ML models enhance prevention efforts, insights into ethical and privacy considerations, and recommendations for future AI-driven public health strategies. This study will contribute to the growing body of knowledge in digital health interventions and inform policymakers, healthcare professionals, and technology developers on best practice for leveraging AI/ML to curb substance use through social media platforms.

Contenuto trasmesso nella puntata di Musica Machina di sabato 25 febbraio 2023 su Radio Onda Rossa 87.9. Broadcasted on Musica Machina radioshow, Radio Onda Rossa  (Saturday, February 25, 2023).

Given the heterogeneity of recommendations and the accelerating integration of AI into clinical care, a scoping review is needed to collate, categorize, and quantify the competencies that have been proposed for medical students. Unlike narrative reviews, a scoping review provides a transparent and reproducible methodology to ensure comprehensive coverage of the literature, minimize bias, and enable meaningful comparison of findings across sources. By applying constant-comparison coding and prevalence analysis, this review will identify where the literature converges on core AI competencies, where new skills are emerging, and where outlier proposals exist.

Given the heterogeneity of recommendations and the accelerating integration of AI into clinical care, a scoping review is needed to collate, categorize, and quantify the competencies that have been proposed for medical students. Unlike narrative reviews, a scoping review provides a transparent and reproducible methodology to ensure comprehensive coverage of the literature, minimize bias, and enable meaningful comparison of findings across sources. By applying constant-comparison coding and prevalence analysis, this review will identify where the literature converges on core AI competencies, where new skills are emerging, and where outlier proposals exist.

Given the heterogeneity of recommendations and the accelerating integration of AI into clinical care, a scoping review is needed to collate, categorize, and quantify the competencies that have been proposed for medical students. Unlike narrative reviews, a scoping review provides a transparent and reproducible methodology to ensure comprehensive coverage of the literature, minimize bias, and enable meaningful comparison of findings across sources. By applying constant-comparison coding and prevalence analysis, this review will identify where the literature converges on core AI competencies, where new skills are emerging, and where outlier proposals exist.

Given the heterogeneity of recommendations and the accelerating integration of AI into clinical care, a scoping review is needed to collate, categorize, and quantify the competencies that have been proposed for medical students. Unlike narrative reviews, a scoping review provides a transparent and reproducible methodology to ensure comprehensive coverage of the literature, minimize bias, and enable meaningful comparison of findings across sources. By applying constant-comparison coding and prevalence analysis, this review will identify where the literature converges on core AI competencies, where new skills are emerging, and where outlier proposals exist.

Given the heterogeneity of recommendations and the accelerating integration of AI into clinical care, a scoping review is needed to collate, categorize, and quantify the competencies that have been proposed for medical students. Unlike narrative reviews, a scoping review provides a transparent and reproducible methodology to ensure comprehensive coverage of the literature, minimize bias, and enable meaningful comparison of findings across sources. By applying constant-comparison coding and prevalence analysis, this review will identify where the literature converges on core AI competencies, where new skills are emerging, and where outlier proposals exist.

Given the heterogeneity of recommendations and the accelerating integration of AI into clinical care, a scoping review is needed to collate, categorize, and quantify the competencies that have been proposed for medical students. Unlike narrative reviews, a scoping review provides a transparent and reproducible methodology to ensure comprehensive coverage of the literature, minimize bias, and enable meaningful comparison of findings across sources. By applying constant-comparison coding and prevalence analysis, this review will identify where the literature converges on core AI competencies, where new skills are emerging, and where outlier proposals exist.

Given the heterogeneity of recommendations and the accelerating integration of AI into clinical care, a scoping review is needed to collate, categorize, and quantify the competencies that have been proposed for medical students. Unlike narrative reviews, a scoping review provides a transparent and reproducible methodology to ensure comprehensive coverage of the literature, minimize bias, and enable meaningful comparison of findings across sources. By applying constant-comparison coding and prevalence analysis, this review will identify where the literature converges on core AI competencies, where new skills are emerging, and where outlier proposals exist.

Are all forms of intelligence the same? Can we distinguish artificial intelligence from the human variety? The other convos in this Cycle here: https://www.youtube.com/watch?v=AjSRuk5bdik&list=PLygJHHONRxjy9_-KnDaeDhLTuOm6RoYL_ Find and Buy MOST of my BOOKS and eBOOKS in my Amazon Store: https://www.amazon.com/stores/page/60F8EC8A-5812-4007-9F2C-DFA02EA713B3

Objective: to find and summarize the current AI and ML methods for the detection and analysis of solid organ trauma.

Objective: to find and summarize the current AI and ML methods for the detection and analysis of solid organ trauma.

Ben Goertzel is one of the most interesting minds in the artificial intelligence community. He is the founder of SingularityNET, designer of OpenCog AI framework, formerly a director of the Machine Intelligence Research Institute, Chief Scientist of Hanson Robotics, the company that created the Sophia Robot. He has been a central figure in the AGI community for many years, including in the Conference on Artificial General Intelligence. Support this podcast by supporting these sponsors: - Jordan Harbinger Show: https://jordanharbinger.com/lex/ - MasterClass: https://masterclass.com/lex This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this

Brian Thomas, Agency Data Scientist at NASA Headquarters, discusses artificial intelligence.

Darrell West is vice president of the Brookings Institution and director of Governance Studies at Brookings. John Allen is the president of the Brookings Institution and a retired U.S. Marine Corps four-star general. Together, they are the authors of the book, "Turning Point: Policymaking in the Era of Artificial Intelligence," a broad look at the impact that artificial intelligence systems are likely to have on everything from the military, to health care, to vehicles and transportation, and to international great power competition. They joined Benjamin Wittes to discuss the book and the question of how we should govern AI systems. What makes for ethical uses of AI? What makes it scary? What are the anxieties that people have about artificial intelligence and to what extent are the fears legitimate?Support this show http://supporter.acast.com/lawfare. See acast.com/privacy for privacy and opt-out information.

We mark the 20th anniversary of the Iraq War by revisiting some of the classic clips from our cowed and deferential news media circa 2003. PLUS: What is artificial intelligence and what does it mean for the future? Pulitzer-winning columnist Thomas Friedman doesn't know, but that didn't stop him from writing about it.

The military has recognized the need for automated decision aids to support battle management as warfighters become overwhelmed by shorter decision cycles, greater amounts of data, and more technology systems to manage. To date, much emphasis has focused on data acquisition, data fusion, and data analytics for gaining situational awareness in the battle space. However, a new frontier and opportunity exists for using this data to develop decision options and predict the consequences of military courses of action. This project studied the application of artificial intelligence (AI) to improve battle management decisions in the time-sensitive air and missile defense (AMD) environment. Specifically, this project studied current and future AI applications to the AMD kill chain with a model-based systems engineering (MBSE) approach. The team modeled the AMD kill chain by allocating time to the various kill chain functions and decisions, based on the time afforded by the incoming AMD threat. The team used simulations to analyze and demonstrate the use of automation in the kill chain functions to expedite decisions and improve AMD battle management.

The scheduling problem facing NASA-Marshall mission planning is extremely difficult for several reasons. The most critical factor is the computational complexity involved in developing a schedule. The size of the search space is large along some dimensions and infinite along others. It is because of this and other difficulties that many of the conventional operation research techniques are not feasible or inadequate to solve the problems by themselves. Therefore, the purpose is to examine various artificial intelligence (AI) techniques to assist conventional techniques or to replace them. The specific tasks performed were as follows: (1) to identify mission planning applications for object oriented and rule based programming; (2) to investigate interfacing AI dedicated hardware (Lisp machines) to VAX hardware; (3) to demonstrate how Lisp may be called from within FORTRAN programs; (4) to investigate and report on programming techniques used in some commercial AI shells, such as Knowledge Engineering Environment (KEE); and (5) to study and report on algorithmic methods to reduce complexity as related to AI techniques.

Video describing project "Curiosity AI" by Shannon Bohle that won second place in the Federal Virtual Worlds Challenge, an international competition in artificial intelligence sponsored by the US Department of Defense and advertised by The White House. Video Transcript: http://archivopedia.com/Curiosity/About.html Project Command Menu: http://archivopedia.com/Curiosity/Inqure.html White House Announcement: http://www.whitehouse.gov/sites/default/files/microsites/ostp/challenge-gov-fact-sheet.pdf DoD Award Photo: https://plus.google.com/photos/105146290850515029724/albums/5854230698613028833

The Adhesives Section, Materials Technology Branch of the U.S. Army Armament Research, Development and Engineering Center was funded to design and build an expert system prototype capable of using artificial intelligence (AI) techniques to aid in the selection of a proper adhesive or sealant for Army materiel. The adhesives expert system prototype is designed to operate on an IBM-PC compatible 80486 computer have a minimum of four MB RAM and eight MB hard disc space. The system will operate using MS-DOS 5.0 Windows 3.1. Kappa PC version 2.1, a C-based application development and delivery environment for PC's by IntelliCorp, Inc. was identified as a suitable expert system shell program. The adhesives selector expert system (ASES) is currently being developed with this system using object-oriented programming techniques and rule based reasoning.

MIT Professor Daniel Weitzner talks about artificial intelligence & the coronavirus, as well as security and privacy issues that have grown this year. Sponsor: C-SPAN

Current and former government officials spoke at the National Security Commission on Artificial Intelligence conference in Washington, DC. During this portion, former Secretary of State Henry Kissinger shared his thoughts on the emergence of artificial intelligence and the role it will play in the world, saying that "A.I. will be the philosophical challenge of the future." Sponsor: National Security Commission on Artificial Intelligence

Current and former government officials spoke at the National Security Commission on Artificial Intelligence conference in Washington, DC. During this portion, foreign affairs experts, including former Obama administration Defense Under Secretary Michele Flournoy and former NATO Secretary General Anders Fogh Rasmussen, discussed how the world is approaching the growth of artificial intelligence in the world and the importance for the U.S. to lead on it's growth and implementation while fostering strong international cooperation. Sponsor: National Security Commission on Artificial Intelligence

Sen. Mark Warner (D-VA), vice chair of the Senate Intelligence Committee, sat down with PBS' Judy Woodruff to talk about China's 5G technological advances, artificial intelligence and global security. Sen. Warner answered questions on competition for 5G, intellectual property and surveillance concerns, comparisons between the Obama and Trump administrations' approach to China, and Chinese nationals studying in the U.S. He also addressed President Trump's recent comments on receiving information from foreign nationals, calling the comments "outrageous." The event was hosted by the Council on Foreign Relations in Washington, DC. Sponsor: Council on Foreign Relations

[LIVE] Officials with the White House, Defense and Homeland Security Departments testify on how they're using artificial intelligence (AI) technology during a hearing before a House Oversight and Accountability subcommittee. Sponsor: House Oversight and Accountability Subcommittee on Cybersecurity, Information Technology and Government Innovation

Current and former government officials spoke at the National Security Commission on Artificial Intelligence conference in Washington, DC. During this portion, Sen. Joni Ernst (R-IA) made brief remarks about the implications artificial intelligence can have on national security and intelligence collection. Sponsor: National Security Commission on Artificial Intelligence

v.p

The goal of this program was to develop prototype tools which would use artificial intelligence techniques to extend the Architecture Design and Assessment (ADAS) software capabilities. These techniques were applied in a number of ways to increase the productivity of ADAS users. AIM will reduce the amount of time spent on tedious, negative, and error-prone steps. It will also provide f documentation that will assist users in varifying that the models they build are correct Finally, AIVD will help make ADAS models more reusable.

Cardiologist Jag Singh explained how digital sensors and artificial intelligence will change the practice of medicine. This event was hosted by Harvard Book Store. Sponsor: Harvard Book Store

National Oceanic and Atmospheric Administration (NOAA) Chief Technology Officer Frank Indiviglio and others discussed the use of artificial intelligence (AI) in government agencies. Topics included using AI technology for extreme weather events, the public-sector investing in generative AI, and the role of technology companies in supporting the use of AI in the federal government. Sponsor: Government Executive Media Group

The Northeast Artificial Intelligence Consortium is to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress that has been made in the fourth year of the Consortium on the Versatile Maintenance Expert System research task. Technical areas addressed include candidate ordering, reordering and elimination, representation and diagnosis of sequential circuits, shadowing of deep knowledge and user interfaces. Work was initiated on the use of a more complex circuit as the testbed for this research. (jhd)

This report describes applied research into the application of artificial intelligence (AI) techniques to the problems associated with the extraction of terrain features from synthetic aperture radar (SAR) images. Specific AI techniques have been implemented and analyzed. They have given positive results. A conceptual model for an image-understanding system is described. The model provides the framework for a flexible experimental image-understanding research tool as well as potential for growth to an operational system. Originator-supplied keywords include: Radar Image Understanding, Image Processing, and Artificial Intelligence.

This report describes applied research into the application of artificial intelligence (AI) techniques to the problems associated with the extraction of terrain features from synthetic aperture radar (SAR) images. Specific AI techniques have been implemented and analyzed. They have given positive results. A conceptual model for an image-understanding system is described. The model provides the framework for a flexible experimental image-understanding research tool as well as potential for growth to an operational system. Originator-supplied keywords include: Radar Image Understanding, Image Processing, and Artificial Intelligence.

This report contains translations of the following articles: Brief History of Italian Artificial Intelligence; Stage of Advancement; Resources; Technological Areas and Projects; and, Cooperative Research and the Tertiary Sector Activities.