A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

At the forefront of technological innovation, Google DeepMind has embarked on a transformative journey, one that blurs the line between artificial intelligence and robotics. This marked a significant ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Google DeepMind is rolling out an on-device version of its Gemini Robotics AI model that allows it to operate without an ...

At its recent Cisco Live 2025 event, Cisco announced AgenticOps, a transformative approach to IT operations that integrates ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Key Takeaways Machine Learning is growing in recent years and becoming an inseparable part of academics and professional spheres. With ordinary laptops, ML ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

The evolution of neural networks is a fascinating story filled with innovation, groundbreaking breakthroughs, near-fatal ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.