Goto

Collaborating Authors

North America


Meet the Seattle-area teen geeks that just won awards at an international science fair

#artificialintelligence

The bleak and all-too-common spectacle of roadkill was upsetting to Vedant Srinivas -- particularly when his uncle and cousin's beloved German Shepherd-Rottweiler mix was fatally hit by a car. More importantly, the losses made the high school student wonder if he could do something about it. What if Srinivas could stop the pet owners' broken hearts, save wildlife and deflect the economic impacts caused by the collisions? This month his efforts were rewarded. The sophomore from Eastlake High School in Sammamish, Wash., brought home a $5,000, first place grand award for the category of Environmental Engineering from the Regeneron International Science and Engineering Fair (ISEF).


How Is AI Changing the Environment for the Better? - Innovation & Tech Today

#artificialintelligence

Significant investments and research developments in artificial intelligence (AI) have made the technology a powerful asset in many industries -- including environmental studies. AI isn't a new technology, but businesses and consumers feel its impact and witness it seep into everyday life. AI is becoming more advanced and autonomous, and it's also broader in its use and impact. More use cases for AI are emerging, and if implemented responsibly, it can greatly benefit society. It's likely to play a role in tackling issues like climate change -- but how? Here's how AI is expected to impact the environment and usher in positive changes for a more sustainable future. It's critical to understand the breadth of environmental problems right now.



Investigators Identify Characteristics to Better Define Long COVID

#artificialintelligence

Investigators have identified characteristics of individuals with long COVID and those who are likely to have it by using machine learning techniques. The investigators, who were supported by the National Institutes of Health (NHI), analyzed a collection of electronic health records (EHR) available for COVID-19 research to help better identify who has long COVID. Investigators used the EHR data, from the National COVID Cohort Collaborative (N3C), a centralized national public database led by the NIH's National Centers for Advancing Translation Sciences, to identify more than 100,000 likely cases of long COVID, as of October 2021 and 200,000 cases as of May 2022. "It made sense to take advantage of modern data analysis tools and a unique big data resource like N3C, where many features of long COVID can be represented," Emily Pfaff, PhD, a clinical informaticist at the University of North Carolina at Chapel Hill, said in a statement. The N3C data includes information representing more than 13 million individuals nationwide and nearly 5 million positive COVID-19 cases.


Sci-Fi Fantasy writers convention boots author for 'racial slur'; target says he was not offended

FOX News

Fox Nation host Piers Morgan reacts to the attack on Dave Chappelle and talks free speech on'Hannity.' The Science Fiction and Fantasy Writers of America (SFWA) booted award-winning author Mercedes Lackey from a conference over her use of a "racial slur," even though the Black author to whom she had been referring later said he did not consider the term offensive. Lackey had allegedly referred to Samuel R. "Chip" Delany, 80, a celebrated author and literary critic (winner of multiple SFWA Nebula awards), as "colored" while praising his work in the "Romancing Sci-Fi & Fantasy" panel at the SFWA Nebula Conference on Saturday, May 21. The SWFA Board of Directors released a statement Sunday announcing that they had removed Lackey, 71, from the conference, had disabled access to the footage of the panel to "avoid any additional harm being caused," and had reached out to other panelists to determine how they would prefer to proceed. "We learned yesterday that while participating in the'Romancing Sci-Fi & Fantasy' panel, Mercedes Lackey used a racial slur," the board wrote in a statement.


DHS is going bigger with its next face biometrics rally

#artificialintelligence

The U.S. Department of Homeland Security opened industry applications for its 2022 Biometric Technology Rally. The department's Science and Technology directorate is emphasizing discerning people in groups and their level of consent to face biometric scanning. Competitors are to address the challenge of reliably screening small groups of people opting in to facial recognition from among bystanders who have not consented. The competition will be an unattended "high throughput" scenario where group-processing systems must rapidly capture biometrics from multiple subjects. Companies will have to match photographs and identify faces, acquire only needed biometric images and meet performance benchmarks for demographic groups.


Katharina McFarland on Winning in the Age of Artificial Intelligence

#artificialintelligence

Katharina McFarland has led change in a wide array of national security domains including Space, Missile Defense, Acquisition and Nuclear Posture. She is a former Assistant Secretary of Defense for Acquisition (ASD(A) and a former Assistant Secretary of the Army for Acquisition, Logistics and Technology (ASAALT). She currently serves on several corporate boards and as a member of the National Academies of Science. She was also named as a Commissioner of the National Security Commission on Artificial Intelligence, a group chartered by Congress to examine the national security issues around AI. In this OODA Salon we will hear directly from her on a range of topics, focusing on actions we can take to improve the application of AI to national security while protecting privacy and our way of life.


How Palo Alto Networks modernized its security management with AI

#artificialintelligence

The SIEM, or security information and event management console, has been a staple for security teams for more than a decade. It's the single pane of glass that shows events, alerts, logs, and other information that can be used to find a breach. Despite its near ubiquity, I've long been a SIEM critic and believe the tool is long past its prime. This is certainly not the consensus; I've been criticized in the past for taking this stance. While robust passwords help you secure your valuable online accounts, hardware-based two-factor authentication takes that security to the next level.


Wise Health System Partners with Biofourmis for Continuum-Wide Care-at-Home Initiative

#artificialintelligence

Biofourmis, a Boston-based global leader in virtual care and digital medicine, has announced its engagement with Wise Health System to launch a continuum-wide care-at-home initiative. Wise Health System is a four-hospital, integrated care network in the Dallas-Fort Worth metropolitan area. Wise Health System will launch the effort with a home hospital program leveraging Biofourmis' Hospital@Home end-to-end solution that combines artificial intelligence (AI)-based remote patient monitoring technology and clinical support services. Wise Health System has nearly 200 beds across its four-hospital campus, with over 200 physicians and more than 2,000 employees. The health system is launching a hospital at home program with Biofourmis as part of its progressive healthcare delivery philosophy, to enable participation in the Centers for Medicare and Medicaid Services' (CMS') Acute Hospital Care at Home program, for which it has already earned a waiver.


Women are making strides in artificial intelligence but are still underrepresented, according to new Concordia research

#artificialintelligence

The growth of the artificial intelligence (AI) industry worldwide -- and Canada specifically -- has revealed that its female researchers face many of the same challenges as they do in the other science, technology, engineering and math (STEM) fields. Underrepresentation, lower hiring rates and limited professional opportunities are all ongoing barriers. However, that may be changing, according to a new study published in the Journal of Informetrics. The authors present an analysis of gender patterns that evolved in the AI field over two decades, from 2000 to 2019. They used social network analysis, natural language processing, statistical analysis and machine learning to examine the space women occupy and the nature of their work in this ever-evolving and increasingly diverse field.