FAU CA-AI Research Highlighted in ‘Nature Reviews’

Equipped with a breakthrough algorithmic solution, researchers have “cracked the code” on interference when machines need to talk with each other – and people. Their method, which is a first, dynamically fine-tunes multiple-input multiple-output (MIMO) links, a cornerstone of modern-day wireless systems such as Wi-Fi and cellular networks.

Q&A: New Frontiers in ALS Research

Clive Svendsen, PhD, executive director of the Board of Governors Regenerative Medicine Institute and professor of Medicine and Biomedical Sciences at Cedars-Sinai, is developing new treatments and models for amyotrophic lateral sclerosis (ALS) using stem cells.

Groundbreaking LLNL and BridgeBio Oncology Therapeutics collaboration announces start of human trials for supercomputing-discovered cancer drug

In a substantial milestone for supercomputing-aided drug design, Lawrence Livermore National Laboratory (LLNL) and BridgeBio Oncology Therapeutics (BridgeBio) today announced clinical trials have begun for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer.

Tennessee institutions partner to develop dependable AI for national security applications

At the Tennessee Valley Corridor Summit 2024 in Nashville, Tenn., on Wednesday, Vanderbilt University and Oak Ridge National Laboratory announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.

Expert pitch: Preventing maritime accidents with autonomous technologies and better systems integration

Recent global events have sparked a need to reassess the risks of shipping navigation. By harnessing the power of autonomous technologies and enusuring better systems integration, the industry could support safer and smoother navigation. Manoeuvring and controlling cargo ships is…

Warding off winter woes: advanced AI model shields grapevines from frost

A study introduces an automated machine learning (Auto-ML) model that predicts the freezing tolerance of grapevines in real-time, a critical advancement for sustainable grape production in cooler climates. This model leverages hourly temperature data and varietal specifics to forecast cold hardiness, a significant step towards precision viticulture.

Researchers Wrestle with Accuracy of AI Technology Used to Create New Drug Candidates

Researchers at the UNC School of Medicine, UCSF, Stanford, and Harvard determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.

Mayo Clinic and Mercy reach first major milestone in data collaboration

Mayo Clinic and Mercy are making a significant advancement in their global, first-of-its-kind 10-year collaboration agreement signed in the summer of 2022. As founding members of Mayo Clinic Platform_Connect, the two organizations will now be working together to analyze de-identified patient data as they search for new ways to diagnose, treat and prevent disease, providing better outcomes and lower costs of care.

Using artificial intelligence to speed up and improve the most computationally-intensive aspects of plasma physics in fusion

Researchers at the Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for increasingly long periods.

GUIDE team develops computational approach to redesign antibodies for broader effectiveness against viral pandemics

In a groundbreaking development for addressing future viral pandemics, a multi-institutional team involving Lawrence Livermore National Laboratory researchers has successfully combined an artificial intelligence-backed platform with supercomputing to redesign and restore the effectiveness of antibodies whose ability to fight viruses has been compromised by viral evolution. The work was published in the journal Nature.

Study Unveils Balance of AI and Preserving Humanity in Health Care

The survey of more than 1,100 nursing professionals and students shows that more than half express reservations toward the integration of artificial intelligence and 38% question its potential benefits for the nursing field. In addition, despite the potential of telehealth services, 74% of nurses have never utilized them, citing doubts about their efficacy in delivering comprehensive patient care. The new report recommends four strategies for health care organizations to empower nurses in adopting AI.

Wilkes Center at University of Utah announces 7 finalists for the $500,000 Climate Solutions Launch Prize

The Wilkes Climate Launch Prize is one of the largest university-affiliate climate awards in the world and is geared to spur innovation and breakthroughs. The prize is specifically calibrated to support unconventional or first-of-a-kind projects that often have difficulty getting funding.

metaphacts and Dimensions launch the Dimensions Knowledge Graph, powered by metaphactory

Digital Science solutions metaphacts and Dimensions announce the launch of the Dimensions Knowledge Graph, a large ready-made knowledge graph powering AI solutions in the pharmaceutical and life sciences industries.

Q&A: How to train AI when you don’t have enough data

As researchers explore potential applications for AI, they have found scenarios where AI could be really useful but there’s not enough data to accurately train the algorithms. Jenq-Neng Hwang, University of Washington professor of electrical and computer and engineering, specializes in these issues.

Could AI Play a Role in Locating Damage to the Brain After Stroke?

Artificial intelligence (AI) may serve as a future tool for neurologists to help locate where in the brain a stroke occurred. In a new study, AI processed text from health histories and neurologic examinations to locate lesions in the brain. The study, which looked specifically at the large language model called generative pre-trained transformer 4 (GPT-4), is published in the March 27, 2024, online issue of Neurology® Clinical Practice, an official journal of the American Academy of Neurology.

Marketing and legal experts caution seeing is not believing with everything online

Two West Virginia University experts with extensive knowledge of deepfakes and AI-assisted technologies are sounding the alarm about their prevalence in our daily lives at a time when headlines about potential AI-generated photos and videos, and questions by the public about what’s…

Binghamton University set to receive $5 million landmark gift to pursue AI research and development

Bloomberg L.P. co-founder and Binghamton University alumnus Tom Secunda ’76, MA ’79 today announced a landmark $5 million donation to Binghamton University to attract, recruit and retain tech talent, creating a pipeline for students to participate in the artificial intelligence economy of the future.

NUS sets up AI Institute to accelerate frontier AI research and boost real-world impact for public good

From fortifying supply chain resilience against global disruptions and enhancing safety and resilience of energy systems to intelligent urban transport systems, personalised services and healthcare revolution – artificial intelligence (AI) is emerging as a force with the capacity to transform facets of our daily living and the society.

Researchers Reveal Roadmap for AI Innovation in Brain and Language Learning

A new study co-led by Georgia Institute of Technology’s Anna (Anya) Ivanova uncovers the relationship between language and thought in artificial intelligence models like ChatGPT, leveraging cognitive neuroscience research on the human brain. The results are a roadmap to developing new AIs — and to better understanding how we think and communicate.

New AI model draws treasure maps to diagnose disease

Researchers at the Beckman Institute developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.

AI-enabled atomic robotic probe to advance quantum material manufacturing

Scientists from the National University of Singapore (NUS) have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.