Mount Sinai Researchers Use Artificial Intelligence to Uncover the Cellular Origins of Alzheimer’s Disease and Other Cognitive Disorders

Deep learning models represent “an entirely new paradigm for studying dementia”

New method for comparing neural networks exposes how artificial intelligence works

A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.

Rensselaer To Advance Blockchain Tech With $360k Grant

Rensselaer Polytechnic Institute’s Oshani Seneviratne, director of health data research at the Institute for Data Exploration and Applications (IDEA), and Lirong Xia, associate professor of computer science, have been awarded $363,343 from the Algorand Foundation. The award is part of an $8 million grant to fund blockchain research through a project led by Vassilis Zikas, associate professor of computer science and security researcher at Purdue University.

A new neuromorphic chip for AI on the edge, at a small fraction of the energy and size of today’s compute platforms

An international team of researchers has designed and built a chip that runs computations directly in memory and can run a wide variety of AI applications–all at a fraction of the energy consumed by computing platforms for general-purpose AI computing. The NeuRRAM neuromorphic chip brings AI a step closer to running on a broad range of edge devices, disconnected from the cloud, where they can perform sophisticated cognitive tasks anywhere and anytime without relying on a network connection to a centralized server.

DMIND Application for Screening Depression – An AI Innovation from CU Faculties of Medicine and Engineering Researchers

Introducing a new dimension for consultations with those suffering from depression by the Department of Mental Health and the DMIND AI Innovation from Chula’s Faculties of Medicine and Engineering that provides screening for depression through the Mor Prom Application with greater accuracy, accessibility, and convenience thus reducing the burdens on medical practitioners and psychologists in taking care of patients with depression.

Life Gets Easier with ReadMe Program that Digitizes Documents and Images Developed Right Here in Thailand

A team from Chula’s Faculty of Engineering have made use of AI Deep Tech to develop a program that scans documents and images into OCR documents. The program is more than 90% accurate when reading Thai scripts and Chula’s UTC is now ready for a spin-off to the market through Eikonnex AI Co. Ltd.

Tabletop Magnetic Resonance Units to Revolutionize Diagnostics and Materials Analysis

In the HyPERiON CRC coordinated by the Karlsruhe Institute of Technology (KIT), researchers from KIT and the universities of Kaiserslautern, Konstanz and Stuttgart are jointly developing technology for compact high-performance magnetic resonance units. In the future, the devices could be used in the chemical and pharmaceutical industries, in medical practices or at border checkpoints. The German Research Foundation is funding the interdisciplinary group with more than 10.6 million euros for four years starting on July 1, 2022.

Department of Energy Awards 18 Million Node-Hours of Computing Time to Support Cutting-Edge Research

Today, the U.S. Department of Energy (DOE) announced that 18 million node-hours have been awarded to 45 scientific projects under the Advanced Scientific Computing Research (ASCR) Leadership Computing Challenge (ALCC) program. The projects, with applications ranging from advanced energy systems to climate change to cancer research, will use DOE supercomputers to uncover unique insights about scientific problems that would otherwise be impossible to solve using experimental approaches.

Flawed AI Makes Robots Racist, Sexist

The work, led by Johns Hopkins University, the Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency.

Sentience is beside the point when it comes to AI & ethics

Yevgeniy Vorobeychik doesn’t know exactly what sentience is. Since he’s an engineer, not a philosopher, Vorobeychik can’t say what it’s like to be a bat  or a tree or a rock. He can’t quantify the importance of embodiment to consciousness. He’s not even sure that there’s an inherent problem with people reacting to an artificial intelligence in ways similar to how they react to other people.

CU Social Innovation Hub – Driving Social Science Research towards Social Innovation, Raising the Community’s Quality of Life, Meeting Social Needs

Chula reveals the success of CU SiHub as an incubator for faculty members, researchers, and students to drive research in the social sciences, arts and humanities to create social innovation businesses and social enterprises toward a sustainable society.

Developing Intelligent Digital Libraries: International Experience – Proposed Solutions for Vietnam

Ton Duc Thong University and the Office of Academic Resources, Chulalongkorn University, would like to invite you to join the free international conference on “Developing Intelligent Digital Libraries: International Experience – Proposed Solutions for Vietnam“, which will be held on July 15, 2022.

Most Parents Welcome Use of AI in Pediatric Emergency Department, But Reservations Remain

Parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the Emergency Department (ED), according to a survey from Ann & Robert H. Lurie Children’s Hospital of Chicago. However, some demographic subgroups (non-Hispanic Black and younger age parents) had greater reservations about the use of these technologies. These findings point to the importance of involving a broad representation of parents from the earliest stages of development of AI systems for pediatric healthcare. The study was published in the journal Academic Pediatrics.

DeepGI AI – A Thai Innovation for the Precision in Colorectal Polyp Detection

Chula Engineering and Chula Medicine co-invent an innovative device for a rapid gastrointestinal cancer detection that yields accurate results hoping to foster preventive medicine in gastrointestinal malignancy and reduce the number of cancer patients.

AI Could Predict Ideal Chronic Pain Patients for Spinal Cord Stimulation

Spinal cord stimulation is a minimally invasive FDA-approved treatment to manage chronic pain such as back and neck pain. The ability to accurately predict which patients will benefit from this treatment in the long term is unclear and currently relies on the subjective experience of the implanting physician. A study is the first to use machine-learning algorithms in the neuromodulation field to predict long-term patient response to spinal cord stimulation.

PSC and Partners to Lead $7.5-Million Project to Allocate Access on NSF Supercomputers

The NSF has awarded $7.5 million over five years to the RAMPS project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. RAMPS is led by the Pittsburgh Supercomputing Center and involves partner institutions in Colorado and Illinois.

Pain in the Neck? New Surgical Method Could be Game-changing

Anterior cervical discectomy and fusion is widely used to treat spinal disorders. The fusion involves placing a bone graft or “cage” and/or implants where the surgically removed damaged disc was originally located to stabilize and strengthen the area. The risk factors for cage migration are multifactorial and include patient, radiological characteristics, surgical techniques and postoperative factors. A study is the first to evaluate the effect of the range of motion, cage migration and penetration using variable angle screws and cervical spine models. The plate developed and tested by the researchers provided directional stability and excellent fusion, showing promising clinical outcomes for patients with degenerative cervical spine disease.

Engineering Researchers Receive $1 Million NSF Grant for First Networked-AI Testbed

Just like humans, autonomous robots need to communicate with one another to learn together and to accomplish a team mission such as search and rescue. Researchers are developing the nation’s first-of-its-kind testbed platform that connects robots using high-frequency radio waves (30 to 300 gigahertz). The robots will be able communicate at ultra-high speeds of gigabits per second by forming and directing ‘beams’ toward each other that also will enable them to see through objects as needed. They will see what the other robots are sensing in real-time, resulting in five times the eyes thanks to the nearly instantaneous exchange of high volumes of data.

Key to resilient energy-efficient AI/machine learning may reside in human brain

A clearer understanding of how a type of brain cell known as astrocytes function and can be emulated in the physics of hardware devices, may result in artificial intelligence (AI) and machine learning that autonomously self-repairs and consumes much less energy than the technologies currently do, according to a team of Penn State researchers.

Turn Your Free Time into Income with “Wang”, An AI/ML Platform by Chula Students

How wonderful would it be if we can make money in our free time while helping researchers enhance AI efficiency at the same time? This is the idea that came to the mind of two young engineers from Chulalongkorn University who successfully developed ‘Wang’ (Free), a multi-award-winning platform that matches your free time with business opportunities and creates benefits for society. Various innovation awards guarantee the platform is the best startup.

Do Passengers Want Self-driving Cars to Behave More or Less Like Them?

Researchers asked participants about their personal driving behaviors such as speed, changing lanes, accelerating and decelerating and passing other vehicles. They also asked them the same questions about their expectations of a self-driving car performing these very same tasks. The objective of the study was to examine trust and distrust to see if there is a relationship between an individual’s driving behaviors and how they expect a self-driving car to behave.

Artificial Intelligence aids in discovery of new prognostic biomarkers for breast cancer

Scientists at Case Western Reserve University have used Artificial Intelligence (AI) to identify new biomarkers for breast cancer that can predict whether the cancer will return after treatment—and which can be identified from routinely acquired tissue biopsy samples of early-stage breast cancer.

NSF makes $20 Million investment in Optimization-focused AI Research Institute led by UC San Diego

The National Science Foundation (NSF) announced today an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these, The Institute for Learning-enabled Optimization at Scale (TILOS), will be led by the University of California San Diego.

Appropriate Technologies: The COVID-19-Era Heroes Yet to Come to “Center Stage”

The COVID-19 outbreaks in Thailand have seen an ever-increasing number of infections as new clusters are emerging. The faculty members of Sasin School of Management — Prof. Dr. Kua Wongboonsin, Asst. Prof. Dr. Piyachart Phiromswad, Assoc. Prof. Dr. Pattanaporn Chatjuthamard, Asst. Prof. Dr. Pattarake Sarajoti, and Asst. Prof. Dr. Sabin Srivannaboon, with financial support from the National Research Council of Thailand (NRCT), jointly present ways to reduce the spread of COVID-19 sustainably in a study to identify technologies that can instantly and appropriately help professionals who find social distancing difficult.

Harnessing AI To Search for New Materials With Exotic Properties

With the support of a prestigious $542,813 National Science Foundation Faculty Early Career Development (CAREER) grant, physicist Trevor David Rhone is turning to artificial intelligence to help determine which combination of elements might form new materials with interesting properties for advancing both scientific understanding and technological applications, such as data storage, spintronics, and quantum computing.

AI Learns to Predict Human Behavior from Videos

New Columbia Engineering study unveils a computer vision technique for giving machines a more intuitive sense for what will happen next by leveraging higher-level associations between people, animals, and objects.“Our algorithm is a step toward machines being able to make better predictions about human behavior, and thus better coordinate their actions with ours,” said Computer Science Professor Carl Vondrick. “Our results open a number of possibilities for human-robot collaboration, autonomous vehicles, and assistive technology.”

Human Voice Recognition AI Now a reality — “Thai Speech Emotion Recognition Data Sets and Models” Now Free to Download

Chulalongkorn University’s Faculty of Engineering and the Faculty of Arts have jointly developed the “Thai Speech Emotion Recognition Data Sets and Models”, now available for free downloads, to help enhance sales operations and service systems to better respond to customers’ needs.