Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...

Driven by curiosity, he took free online resources and joined hackathon projects. “That got my manager's attention. He hadn't thought about it, but he told me, ‘Since you're doing machine learning, we ...

Abstract: To detect malicious URLs more timely, machine learning based malicious URL detection methods have replaced traditional blacklist methods. These studies aim to improve the accuracy and speed ...

Today, Indiana thrives as a hub for innovators, visionaries and bold thinkers who will shape our future. Our manufacturers, logistics networks and research universities propel the Midwest and America ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice for preempting trends.

This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...

Beta - This Python library is under active development. There may be breaking changes that occur until release of 0.1.0. The AI Data Science Team of Copilots includes Agents that specialize data ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...