Category: Artificial Intelligence

Artificial Intelligence, Ecology, Environment, Evolution, Natural World

Harnessing Artificial Intelligence for Wildlife Conservation

Author: Amal Bilal, Class of 2028 Artificial Intelligence (AI) is emerging as a tool that can be leveraged to identify effective solutions for the current biodiversity crisis. As ecosystems are increasingly harmed by humanity, researchers are looking for ways in which AI can be used to create multimodal models that analyze ecological data to improve biodiversity loss predictions, track patterns in wildlife trade, and develop … Continue reading Harnessing Artificial Intelligence for Wildlife Conservation

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2024-25, Artificial Intelligence, Computer Science, Disease, Health and Medicine, Machine Learning

Pixels to Prognosis: Using AI for Neuroradiologic Analysis

Kaylie Huang, Class of 2027 The role of artificial intelligence (AI) in healthcare is one of curiosity and contention, as studies have shown its potential in early detection and prevention through near-perfect analysis of medical images. Researchers from the Department of Radiology at Stony Brook University Hospital (SBUH) investigated the accuracy of AI interpretations of CT head angiograms, or imaging of the brain’s blood vessels, … Continue reading Pixels to Prognosis: Using AI for Neuroradiologic Analysis

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2024-25, Artificial Intelligence, Technology, well-being

Virtual Reality: An Effective Tool for Safety Training

Author: Amal Bilal, Class of 2028 Figure 1: A man using a virtual reality headset. Safety training is an important tool that helps prevent accidents by enhancing one’s ability to identify and analyze risks while performing dangerous tasks. Typically delivered through safety manuals, videos, lectures, slideshows, and drills, safety training methods have several limitations: they do not provide feedback to participants, have difficulties illustrating realistic … Continue reading Virtual Reality: An Effective Tool for Safety Training

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Artificial Intelligence, Brain, General Neuroscience

The Neural Network Memory Update

By Farzad Hoque, Class of 2028 Understanding how the brain balances learning and memory is one of neuroscience’s biggest challenges. New research uncovers how synaptic plasticity and metastable dynamics in cortical circuits work together in neural networks, shedding light on the brain’s remarkable ability to adapt and reorganize. Dr.Yang and Dr.La Camera at Stony Brook University discovered synaptic weights stabilize near a critical threshold, enabling … Continue reading The Neural Network Memory Update

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2022-23, Artificial Intelligence, Computer Science, Year

Differentiating Between Speech and Song Across Cultures

Julia Chivu ’23 Given that speech and song are produced by the same vocal tract, there is an ongoing debate as to whether or not speech and song can be distinguished by their acoustical features across different societies. It can be difficult to determine where speech ends and songs begin within a culture. This concept is especially challenging to research since there is no reliable … Continue reading Differentiating Between Speech and Song Across Cultures

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2022-23, Artificial Intelligence, Computer Science, Year

In the 21st century, you can become a Christian through AI

By Shahzadi Adeena, Class of 2025 Figure 1: Human Hand Reaching Out to AI With artificial intelligence (AI) on the rise, chatbots have become a valuable resource for many sectors of society. Economic, education, and health industries all benefit from the efficiency and extent of artificial intelligence assistance; other sectors, such as religion, are also susceptible to influence by up-and-coming AI. Researchers Khoa Tran and … Continue reading In the 21st century, you can become a Christian through AI

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2022-23, Artificial Intelligence, Neurology, Technology

AI-Assisted Readings May Greatly Improve Fracture Diagnosis

Sooraj Shah ’24 The detection of fractures via radiography is one of the most highly used practices in clinical settings such as the emergency room, urgent care, orthopedic and rheumatology offices. The missed fracture diagnosis rate is between 1-3%, accounting for almost 1,200 of every 100,000 patients. A major cause of missed fractures is erroneous initial readings by residents or non-radiologists, which are only corrected … Continue reading AI-Assisted Readings May Greatly Improve Fracture Diagnosis

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2022-23, Artificial Intelligence, Biology, Genetics

Are Doppelgängers Really Just a Coincidence?

Lydia Wang ’26 Human faces and the ability to recognize different facial identities have played a key role in evolution. It has been observed that human faces have evolved to uniquely distinguish themselves from others. However, many people know someone they resemble; some comparisons are so similar that they are labeled as a doppelgänger, or a living double. Doppelgängers have been an ongoing phenomenon that … Continue reading Are Doppelgängers Really Just a Coincidence?

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Artificial Intelligence

Optimizing Movement-Based Behavior Networks in Artificial Intelligence

Ishmam Khan ’25 Deep learning involves the use of machinery to simulate biological phenomena, especially human behavior. Researchers have developed two systems of programming that proved useful in mimicking movements: convolutional neural networks (CNNs), which are based on virtual imagery and spatial information, and recurrent neural networks (RNNs), which adapt long-short term memory (LSTM) to model long term contextual information of temporal sequences.  When used … Continue reading Optimizing Movement-Based Behavior Networks in Artificial Intelligence

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