Cohere launches an open source voice model specifically for transcription

Relatively light at just 2 billion parameters, the model is meant for use with consumer-grade GPUs for those who want to self ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Aclu.org

Retailers Secretively Using Face Recognition to Spot “Persons of Interest” — Including For the Government

The grocery store chain Wegmans, among other retailers, is using face recognition on its customers — and scanning their faces for resemblance not only to accused shoplifters but also to people whose ...
Entrepreneur

AI Has Taken Over Every Industry — Here’s How Your Business Can Actually Use It

The architects of AI have been recognized as Time Magazine’s “Person of the Year” for 2025, symbolizing AI’s sweeping influence on global industries. AI-driven technologies, including generative AI ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

Embark Studios' contradictory statements about generative AI highlight what's sure to be a long-term industry debate. When you purchase through links on our site, we may earn an affiliate commission.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Speech Emotional Recognition using XGBoost and Deep Learning Algorithm and Multisource Datasets

Abstract: Speech emotional recognition (SER) focuses on developing computers' comprehension and response to human emotional tones and is a key field of research in human-machine interaction. This ...