An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent ...

Bai, an expert in human-computer interaction, believes that, despite all the concern and angst about AI, the technology has ...

In a world increasingly intertwined with technology, the boundaries between human emotions and artificial intelligence are ...

A $1.2 million National Science Foundation grant will help train a cohort of 60 Mississippi State University students to develop artificial intelligence systems capable of analyzing digital images.

Hands-on learning experiences with technology, such as robotics kits, 3D printers and programmable drones, could become ...

Read about the CATALCHEM-E program, its objectives and the details of its accompanying notice of funding opportunity.

Explore how Google Gemma Scope enhances AI transparency, offering insights into language models with sparse autoencoder ...

Affective computing, which aims to understand and replicate human emotions, has made notable progress with the help of deep ...

Discover the evolution of GPT models and their transformative impact on AI-driven language processing and industry ...

Machine learning can be used to detect anomalies in dairy samples by analyzing the milk microbiome, paving the way for ...

Rohit Choudhary is the founder and CEO of Acceldata, the market leader in enterprise data observability. He founded Acceldata ...