Current climate-related and environmental problems we face include water contamination, pollution, rising sea levels, and more extreme climate events such as wildfires. In addition to environmental problems, our research also tackles other societal issues.
Nikhil 12/9/2025 A few days ago, a powerful 7.5 magnitude earthquake struck the northern region of Japan, which injured dozens of people and damaged many buildings and roads. Japan’s government
Nikhil 12/3/2025 The Sahara Desert is the world’s largest hot desert, stretching over a staggering 9.2 million square kilometers, nearly the size of the United States. As of today, the
In recent years, one of the most surprising technological developments has been the rise of deepfakes, a type of AI-created media that can make someone appear to say or do
Nikhil 10/24/2025 This Sunday morning, October 19th, one of the biggest heists of all time took place in the Louvre Museum in Paris, France. One of the members of the
Nikhil 9/26/2025 Over the last couple months, Uganda has announced their discoveries of extreme masses of gold that are estimated to be worth upwards of $12 trillion. According to the
Article 1 Title: The Rise of Foundation Models in Artificial Intelligence Author: Krishnav Agarwal Date: August 24, 2025 Foundation models represent a paradigm shift in artificial intelligence. Unlike traditional models
Author: Krishnav Agarwal Date: August 24, 2025 Foundation models represent a paradigm shift in artificial intelligence. Unlike traditional models that are trained for narrow tasks, foundation models are built on
Nikhil George 8/22/2025 MIT researchers have recently made a massive scientific breakthrough by using artificial intelligence to design new antibiotics that can fight bacteria resistant to drugs. Their original focus
Author: Krishnav Agarwal Date: August 17, 2025 Explainable AI (XAI) has become one of the most critical areas in machine learning research, as the need for transparent and trustworthy systems
Author: Krishnav Agarwal Date: August 16, 2025 Reinforcement learning (RL) has become a cornerstone of modern robotics, offering a framework where agents learn optimal behaviors through trial and error. Instead
Author: Krishnav Agarwal Date: August 9, 2025 The exponential growth of data has fueled the rise of machine learning, but concerns over privacy have intensified in parallel. Traditional machine learning
Author: Krishnav Agarwal Date: August 7, 2025 Graph Neural Networks (GNNs) have emerged as a powerful tool for analyzing structured data that naturally forms graphs, such as social networks, molecular
Author: Krishnav Agarwal Date: August 5, 2025 Self-supervised learning (SSL) has emerged as a transformative approach in machine learning, enabling models to learn from vast amounts of unlabeled data. By
Author: Krishnav Agarwal Date: August 4, 2025 Generative Adversarial Networks (GANs) have revolutionized the field of generative modeling by framing learning as a game between two neural networks: a generator
Author: Krishnav Agarwal Date: August 2, 2025 Diffusion models have emerged as a powerful generative modeling paradigm, competing with and in some cases surpassing GANs in quality and stability. These
Nikhil George – August 2nd, 2025 On July 30, 2025, a massive earthquake of an 8.8 magnitude hit Russia’s on its far east coast, shaking the Kamchatka Peninsula and nearby
Author: Krishnav Agarwal Date: July 30, 2025 Transformers have revolutionized natural language processing, but their impact extends far beyond text. Originally designed for sequence-to-sequence tasks, transformers’ attention mechanisms allow models
Author: Krishnav Agarwal Date: July 28, 2025 Continual learning, also known as lifelong learning, addresses a key limitation of traditional AI systems: the inability to learn continuously without forgetting previous
Joshua Lukose Date: 7/5/2025 In the near future, the billboard hit might not even have a human behind it. That’s the reality behind AI-powered music, your favorite song in the
By Alexis Yeap 6/30/25 Election season is back for the Big Apple because on November 4th New Yorkers are going to vote for their mayoral candidate. The choices are predominantly
