What do deep neural networks and cancer immunotherapy have in common? While both are among the most transformational areas of modern science, 30 years ago, these fields were...
12/29/2024
Predicting the past with Ithaca Predicting the past with Ithaca Authors * External authors Restoring, placing, and dating ancient texts through collaboration between AI and...
12/25/2024
Machine learning is a complex, iterative design and development process aimed at creating a learned model that generalizes to new data inputs. Model assessment, which involves...
12/23/2024
Restoring and attributing ancient texts using deep neural networks History Abstract Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known as...
12/21/2024
Artificial intelligence has been built on the back of vector arithmetic. Recent advances show for certain AI applications this can actually be drastically outperformed (memory,...
12/15/2024
People interact with the world through multiple sensory streams (e.g., we see objects, hear sounds, read words, feel textures and taste flavors), combining information and...
12/14/2024
Machine learning involves the use of machine learning algorithms and models. For beginners, this is very confusing as often “machine learning algorithm” is used interchangeably...
12/13/2024
Machine learning algorithms can perform exponential tasks today—from mastering board games and identifying faces to automating daily tasks and making predictive decisions—this...
12/07/2024
Turing over his lifetime produced various groundbreaking seminal papers and works. In this write-up, I am going to delve into four such major works: “On Computable Numbers, with...
12/03/2024
Machine learning, the process whereby a computer learns future responses through data analysis via an algorithm, is already enmeshed in finance and accounting. It sits in the...
12/01/2024
Causal Modeling in Machine Learning Workshop The most efficient path to engineering causal reasoning in machine learning applications. A online workshop in causal modeling and...
11/29/2024
In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a...
11/28/2024