Microsoft

Case study: Securing AI application supply chains

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
IEEE

CADDN: A Content-Aware Downsampling-Based Detection Method for Small Objects in Remote Sensing Images

Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...
GitHub

DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions

@inproceedings{christen2024diffh2o, title = {DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions}, author = {Christen, Sammy and Hampali, Shreyas and Sener, Fadime ...
eLife

Predicting human decision-making across task conditions via individuality transfer

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
IEEE

Real-Time Video Object Detection and Trajectory Prediction Using Deep Convolutional Neural Networks and Long Short-Term Memory Networks

Real-time object detection and trajectory prediction are crucial tasks in intelligent video systems, particularly for applications such as autonomous driving and urban surveillance. Traditional ...
GitHub

MOCHA: Multimodal Object-driven Cross-arcHitecture Alignment ☕

MOCHA recipe. (1) Pretraining student model. (2) Knowledge distillation on rich joint visual and textual features from a frozen teacher. (3) Few-shot personalization with frozen student and ...
Des Moines Register

PredictLeads Is Now Integrated into Make, Enabling No-Code Automation of Real-Time Company Intelligence

NEWARK, DE, UNITED STATES, December 31, 2025 /EINPresswire.com/ — PredictLeads, a provider of real-time company intelligence, announced that its datasets are now ...