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Generalist biological AI models decode the language of life

Generalist Biological AI Models Decode the Language of Life Biology has always been an information science at heart. DNA stores ...

ORIVISION: Defining Excellence as the OEM Video Decoder Industry Leader in China for Custom Pro-AV Solutions

From the precision required in medical imaging to the millisecond-sensitive environments of live broadcasting and esports, ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...

Apple unveils AI model that creates lifelike 3D objects from just one photo

Apple has introduced a new AI model that can turn a single image into a realistic 3D object with accurate lighting and ...

Apple’s new AI model recreates 3D objects with realistic lighting effects from a single image

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects ...

NetAirus Technologies Launches Panatem(TM) an Industry-First World-Model Artificial Intelligence Framework for Augmented Reality Headsets

NetAirus Technologies - NetAirus introduces Panatem(TM) an Artificial Intelligence World Model framework that enables next-gen AR/VR and smart glasses to understand, reason, and predict real-world ...
ascopubs.org

Foundation Model Based on Routine Magnetic Resonance Imaging for Brain Tumor Molecular Profiling and Progression Prediction

To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
IEEE

An Encoder–Decoder Model Based on Spiking Neural Networks for Address Event Representation Object Recognition

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...
Scientific Research Publishing

Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P. and Shroff, G. (2016) LSTM-Based Encoder-Decoder for Multi-Sensor Anomaly Detection.

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...