AlphaGenome, accessible via API, cracks the “junk DNA” code, outperforms top rivals in key tests, and puts advanced genomics ...

Key Takeaways Top machine learning certifications boost skills in AI, data science, and automation.Reputable programs from ...

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

The I-Con framework opens new avenues for AI discovery by organizing more than 20 ML algorithms into a unified structure, much like a periodic table for machine learning.

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes.

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

Tohoku University. (2024, December 10). New algorithm boosts multitasking in quantum machine learning. ScienceDaily. Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 12 ...

This paper explores the adaptive use of machine learning algorithms for music recommendation, specifically examining how different algorithms perform across devices with varying capabilities. We focus ...

This repository contains implementations of fundamental Machine Learning (ML) and Deep Learning (DL) algorithms from scratch using NumPy and PyTorch. The purpose of this project is to learn and ...