The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

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

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Applications are invited for recruitment of nine vacant teaching and non-teaching positions or career in TRTC Guwahati Assam in 2026. Tool Roo ...

The THz- and Millimeterwave Techniques group is in search of a doctoral researcher for an interdisciplinary THz medical imaging research program developing diffractive optical elements (DOEs) and ...