AI

“That appointment—that relationship—is everything,” says audio executive Eric Eddings. But that doesn’t mean the industry isn’t innovating.

A new, multidisciplinary MIT graduate program in music technology and computation will feature faculty, labs, and curricula from across the Institute. The program is a collaboration between the Music and Theater Arts Section in the School of Humanities, Arts, and Social Sciences (SHASS); Department of Electrical Engineering and Computer Science (EECS) in the School of Engineering;

The OpenAI CEO’s recent mini-manifesto argues (again) that AI will make the future impossibly bright. He could use a refresher course on the basics of human behavior.

New Chinese regulation attempts to define how AI content labeling should work and stamp out AI-generated disinformation.

Aerospace companies face a generational workforce challenge today. With the strong post-COVID recovery, manufacturers are committing to record production rates, requiring the sharing of highly specialized domain knowledge across more workers. At the same time, maintaining the headcount and experience level of the workforce is increasingly challenging, as a generation of subject matter experts (SMEs)

Video generation has become the latest frontier in AI research, following the success of text-to-image models. Luma AI’s recently launched Dream Machine represents a significant advancement in this field. This text-to-video API generates high-quality, realistic videos quickly from text and images. Trained on the Amazon SageMaker HyperPod, Dream Machine excels in creating consistent characters, smooth

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. These personas rely on access to data in Amazon Simple Storage Service (Amazon S3) for tasks such as extracting data for model training, logging

AI takes a lot of energy to run, but underwater data centers might not be the answer.

The Pager Protocol podcast went up hours after exploding pagers and two-way radios killed dozens and injured hundreds in Lebanon last week. How did it do it? Lots of artificial intelligence tools.

Deep-learning models are being used in many fields, from health care diagnostics to financial forecasting. However, these models are so computationally intensive that they require the use of powerful cloud-based servers. This reliance on cloud computing poses significant security risks, particularly in areas like health care, where hospitals may be hesitant to use AI tools