InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

So you’ve heard these AI terms and nodded along; let’s fix that

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
IEEE

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning

Abstract: In this article, we utilize the concept of average controllability in graphs, along with a novel rank encoding method, to enhance the performance of Graph Neural Networks (GNNs) in social ...
GitHub

EnDeep4mC: A dual-adaptive feature encoding framework in deep ensembles for predicting DNA N4-methylcytosine sites

EnDeep4mC is a deep learning framework for predicting DNA N4-methylcytosine sites through dual-adaptive feature encoding and ensemble learning. This repository contains the complete implementation, ...
The Straits Times

Singapore to increase pool of early adopters in AI to complement data scientists, engineers

SINGAPORE – Singapore plans to nurture an intrepid pool of artificial intelligence (AI) users to complement the data scientists and machine learning engineers it is currently training to take the ...
Nature

Contrastive-learning of language embedding and biological features for cross modality encoding and effector prediction

Gram-negative pathogens utilize a series of intricate protein complexes, named secretion systems, to translocate various effectors across the bacterial membrane into the outer environment such as ...