Collaborating Authors


AI set to replace humans in cybersecurity by 2030, says Trend Micro


What do IT leaders believe the future of the profession will be, and what kind of threats will be most pervasive down the line? Dallas, TX-based cloud security firm Trend Micro recently carried out new research which reveals that over two-fifths (41%) of IT leaders believe that AI will replace their role by 2030. Its predictions report, Turning the Tide, forecasts that remote and cloud-based systems will be ruthlessly targeted in 2021. The research was compiled from interviews with 500 IT directors and managers, CIOs and CTOs and does not look good for their career prospects. Only 9% of respondents were confident that AI would definitely not replace their job within the next decade.

The Higher Education Industry Is Embracing Predatory and Discriminatory Student Data Practices


In December, the University of Texas at Austin's computer science department announced that it would stop using a machine-learning system to evaluate applicants for its Ph.D. program due to concerns that encoded bias may exacerbate existing inequities in the program and in the field in general. This move toward more inclusive admissions practices is a rare (and welcome) exception to a worrying trend in education: Colleges, standardized test providers, consulting companies, and other educational service providers are increasingly adopting predatory, discriminatory, and outright exclusionary student data practices. Student data has long been used as a college recruiting and admissions tool. In 1972, College Board, the company that owns the PSAT, the SAT, and the AP Exams, created its Student Search Service and began licensing student names and data profiles to colleges (hence the college catalogs that fill the mail boxes of high school students who have taken the exams). Today, College Board licenses millions of student data profiles every year for 47 cents per examinee.

Facial Recognition Technology Isn't Good Just Because It's Used to Arrest Neo-Nazis


In a recent New Yorker article about the Capitol siege, Ronan Farrow described how investigators used a bevy of online data and facial recognition technology to confirm the identity of Larry Rendall Brock Jr., an Air Force Academy graduate and combat veteran from Texas. Brock was photographed inside the Capitol carrying zip ties, presumably to be used to restrain someone. Brock was arrested Sunday and charged with two counts.) Even as they stormed the Capitol, many rioters stopped to pose for photos and give excited interviews on livestream. Each photo uploaded, message posted, and stream shared created a torrent of data for police, researchers, activists, and journalists to archive and analyze.

Council Post: Artificial Intelligence And Precision Farming: The Dawn Of The Next Agricultural Revolution


Co-Founder and CTO of Prospera Technologies, leading the company's vision to transform the way food is grown using data science and AI. The human race has come a long way in our ability to produce food at scale. Historian and author Yuval Noah Harari refers to it in his book Sapiens as "an agricultural revolution," using wheat as an example. Ten thousand years ago, wheat was a wild grass that grew in a relatively small region in the Middle East. Today, wheat can be considered one of the most successful plants in history, according to the evolutionary criteria of survival and reproduction. In regions where wheat never existed, such as the Great Plains of North America, you can drive for hundreds of miles without seeing anything else but wheat fields.

Sark latest 'Bama assistant multi-tasking before title game

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Steve Sarkisian is the latest Alabama coordinator to be drawing up game plans for a national title showdown before leaving for a new head coaching job. The top-ranked Crimson Tide's offensive chief is trying to treat the transition as business as usual, saying Wednesday that his "week has been as normal as it could be." "Quite honestly, my week for me would be a normal game week as if I hadn't taken the Texas job," Sarkisian said.

The Government Wants to Scan Your Face When You Enter the US. It Hasn't Gone Well So Far.

Mother Jones

Officials at Dulles International Airport in Virginia unveil new biometric facial recognition scanners in September 2018.Bill O'Leary/Getty In 2018, the federal government started scanning people's faces as they drove into and out of the country at the Anzalduas International Bridge, which connects the Rio Grande Valley of Texas to Mexico. Customs and Border Protection said collecting these biometric images would enhance security and make identifying travelers more efficient. But less than a year later, a data breach compromised 100,000 facial images and 105,000 license plate images. Nineteen facial images from the breach were posted to the dark web. Now, CBP wants to expand facial surveillance beyond Anzalduas and other sites that were part of a pilot program, even as the program saw potential security vulnerabilities in at least four airports, according to a report from the Department of Homeland Security inspector general.

Women in Robotics Update: Robin Murphy, Ayanna Howard


Robin Murphy (featured in 2013), is the Raytheon Professor of Computer Science and Engineering in Texas A & M and Director of the non-profit Humanitarian Robotics and AI Laboratory, (formerly known as Center for Robot-Assisted Search and Rescue (CRASAR). She is a distinguished Disaster Roboticist pioneering the advancement of AI and mobile robotics in unstructured and extreme environments. At CRASAR, she has been actively supplying her rescue robot since 9/11 in 2001 and has now participated in more than 30 disasters which include building collapses, earthquakes, floods, hurricanes, marine mass casualty events, nuclear accidents, tsunamis, underground mine explosions, and volcanic eruptions, in five different countries. And she has developed and taught classes in robotics for emergency response and public safety for over 1,000 members of 30 agencies from seven countries.

How Texas State University is using artificial intelligence to target mental stress


New research at Texas State University indicates there could be a growing problem called'compassion fatigue.' Professor and psychologist Millie Cordaro says that as professors care for or help others during the pandemic, it can leave them feeling psychologically overwhelmed or emotionally numb. The university's counseling center hopes an avatar-based simulation called Kognito can help. "You take on the role of either a faculty member or a student, depending on the simulation, and you talk to a student that is programmed with emotions and memory and personality, and will react like a real student in psychological distress," explains Glenn Albright, Kognito's co-founder & research director. The program uses artificial intelligence and a virtual coach to walk trainees through conversation tactics. "This program is a form of prevention, which aims to teach skills and interventions, prevent or address mental health concerns early before they develop into mental health crises," says Richard Martinez, a psychologist with the university's counseling center.

Weather-proof chip aims to take self-driving tech, wireless communications to next level


A new device created by researchers at The University of Texas at Austin can overcome challenges like bad weather to deliver more secure, reliable communications. This could aid military communications in challenging areas, improve the ability of self-driving cars to see the environment around them and speed up wireless data for potential 6G networks. Ray Chen, professor in the Cockrell School of Engineering's Department of Electrical and Computer Engineering and leader of the project, made a comparison to TV satellite dishes that go out or become fuzzy during poor weather. The same thing can happen with communications technology, and that's the problem Chen wants to fix. Chen's device operates in an area of the light spectrum -- mid infrared -- that allows signal to penetrate through clouds, rain and other weather to get to their intended target without shedding significant amounts of light.

OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research Artificial Intelligence

Owning to the unremitting efforts by a few institutes, significant progress has recently been made in designing superhuman AIs in No-limit Texas Hold'em (NLTH), the primary testbed for large-scale imperfect-information game research. However, it remains challenging for new researchers to study this problem since there are no standard benchmarks for comparing with existing methods, which seriously hinders further developments in this research area. In this work, we present OpenHoldem, an integrated toolkit for large-scale imperfect-information game research using NLTH. OpenHoldem makes three main contributions to this research direction: 1) a standardized evaluation protocol for thoroughly evaluating different NLTH AIs, 2) three publicly available strong baselines for NLTH AI, and 3) an online testing platform with easy-to-use APIs for public NLTH AI evaluation. We have released OpenHoldem at, hoping it facilitates further studies on the unsolved theoretical and computational issues in this area and cultivate crucial research problems like opponent modeling, large-scale equilibrium-finding, and human-computer interactive learning.