Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes in the geometry of the physical settings of PDEs. Called DIMON, the new ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset ...

The Central Arecanut and Cocoa Processing Cooperative Ltd., (CAMPCO) on Friday, April 11, launched a soil testing machine at its Puttur Branch in Dakshina Kannada district. Senior CAMPCO member ...

The footage shows two men observing the robot's movements with caution, seemingly testing its capabilities. However, the robot abruptly loses control, wildly flailing its arms and legs in a ...

Imagine a tech giant telling you that it wants your Instagram and Facebook posts to train its AI models. And that too, without any incentive. You could, however, opt out of it, as per the company.

and Princeton are challenging one of AI development’s accepted core beliefs - that the more pre-training data the better the performance. As reported by HPCwire, a new paper discuses the concept ...

“By leveraging AI-based computational modeling, human organ model-based lab testing, and real-world human data, we can deliver safer treatments to patients more quickly and reliably, while also ...

Artificial Intelligence (AI) has grown remarkably, moving beyond basic tasks like generating text and images to systems that can reason, plan, and make decisions. As AI continues to evolve, the demand ...