Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...

MIT Detects Traces of a Lost ‘Proto Earth’ Deep Beneath Our Planet’s Surface MIT discovers traces of “proto Earth” buried deep within ancient rocks, offering clues to the planet’s earliest history.

Spiking Neural Networks (SNNs) are promising for neuromorphic computing due to their biological plausibility and energy efficiency. However, training methods like Backpropagation Through Time (BPTT) ...

Abstract: An AI based energy management system (EMS) for microgrids is proposed. It is composed of three modules: a strategy based module, a deep learning (DL) and a reinforcement learning module (RL) ...

MIT Develops Low-Resource AI System to Control Soft Robots with Just One Image MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

ABSTRACT: The regulation of artificial intelligence (AI) presents a fundamental challenge: how can legal frameworks govern a technology whose definition remains fluid and historically contingent? This ...

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than ...

Researchers at MIT and Harvard Medical School have a new, noninvasive deep learning approach to predict the risk of heart failure. The researchers published an open-access paper in Nature ...