Tiny startup Arcee AI built a 400B-parameter open source LLM from scratch to best Meta’s Llama

Arcee AI has released a 400B model called Trinity, which it says is one of the biggest open source foundation models from a U.S. company.
Communications of the ACM

The Process-Object Duality of Learning Programming in the GenAI Era

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.
GitHub

machine-learning-algorithms-from-scratch

A collection of core Machine Learning algorithms implemented from scratch using only NumPy. This project focuses on understanding the inner workings of ML models without relying on libraries like ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
techxplore

New algorithm enables efficient machine learning with symmetric data structures

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
Los Angeles Times

Children’s Hospital Los Angeles Launches First-of-Its-Kind Sleep App

The CHLA-developed app will collect data for future research in machine learning to detect sleep disorders and help advance the standards of pediatric care in pain and sleep medicine Children’s ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Scientific Research Publishing

Tinawi, I. (2019) Machine Learning for Time Series Anomaly Detection. Doctoral Dissertation, Massachusetts Institute of Technology.

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...