Technology Networks

How Machine Learning Is Reshaping Drug Discovery

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Scientific American

Space archaeologists may have found a long-lost Soviet lander on the moon

Scientists have spent decades searching for the final resting place of Luna 9, the first spacecraft to soft-land on the moon.
JD Supra

Expertise in the Age of Algorithms: Trust and Transparency in AI-Assisted Litigation

Synthetic technologies are reshaping the legal landscape, presenting expert witness reporting with a pivotal challenge: integrating the ...

A digital game improves the mathematical performance of children with dyscalculia

Dyscalculia, characterized by deficits in number sense and calculation skills, affects approximately 5%–7% of the population ...
Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
University of Chicago News

$20 million gift launches lab at Harris School to advance field of algorithmic public policy

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Carbon Emission Quantification of Machine Learning: A Review

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...