AZoOptics

Deep Learning in Optical Microscopy: Advancements and Applications

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Researchers Are Using A.I. to Decode the Human Genome

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely ...
Psychology Today

From Neurons to Networks

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...

Key to human intelligence lies in how brain networks work together, neuroimaging study suggests

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Ambarella: Powering Physical AI Beyond The Data Center

Ambarella is poised to benefit from edge AI demand as CV7 SoC and DevZone boost stickiness. Read why AMBA stock is a Strong ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Analytics Insight

Best Deep Learning Books to Read in 2026

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Owkin unveils biology-focused AI agents for clinical research and drug discovery

Biopharmaceutical artificial intelligence startup Owkin Inc. said today it’s making a series of autonomous agents focused on drug discovery and research available to the broader healthcare industry, ...
IEEE

Mid-Range Convolutional Modulated Transformer Network for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification plays a major role in remote sensing. The combination of convolutional neural networks (CNNs) and transformers has garnered increasing attention in ...
IEEE

Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network

Abstract: This work explores the integration of quantum computing within a classical Convolutional Neural Network (CNN) framework, leveraging a VGG16 model enhanced with a quantum Convolutional Neural ...