Large genome model: Open source AI trained on trillions of bases

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Prof.ai to founder.ai

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.
IEEE

Artificial Neural Network-Based Prediction of Total Project Cost of Residential Dwellings in Quezon City, Philippines Utilizing Engineering Building Parameters and Site ...

Abstract: This study develops an Artificial Neural Network (ANN)-based prediction model to estimate the total project cost (TPC) of residential dwellings in Quezon City, the largest local government ...
Utrecht University

Olifant – An efficient, explainable, and eco-friendly approach to Large Language Modeling

In this online lecture and accompanying demo, Antal van den Bosch will demonstrate Olifant, a recently revived language model that offers an energy-efficient alternative to Large Language Models (LLMs ...
IEEE Spectrum on MSN

Can AI find physics beyond the standard model?

AI is searching particle colliders for the unexpected ...
Hosted on MSN

Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Frontiers

Neural networks and foundation models: two strategies for EEG-to-fMRI prediction

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...
Reuters

CNBC signs deal with Kalshi to add prediction data from next year

Dec 4 (Reuters) - CNBC has signed a multi-year deal with prediction-market operator Kalshi, bringing real-time probability data into the network's TV broadcasts and digital platforms starting next ...
financefeeds

Pi Network Price Surge: PI Price Prediction Eyes Breakout as 2.7 Million Users Migrate and ISO 20022 Nears

The Pi Network ecosystem is experiencing significant momentum, with the native PI Price Prediction attracting renewed attention. The digital asset surged by over 20% in 24 hours following a massive ...
IEEE

Hypergraph Neural Networks Based on Enclosing Subgraph Extraction for Temporal Link Prediction

Abstract: The Graph Neural Network (GNN) methods based on enclosing subgraph extraction have achieved excellent results in static graph link prediction tasks. However, most real-world networks are ...
C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...