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New studies support the idea that the brain uses a process similar to a machine-learning approach known as ‘self-supervised learning.’ This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.
The widespread use of AI algorithms, particularly algorithms designed to recommend content and products to users based on their previous activity online, has led to the rise of new phenomena known as social media echo chambers and information cocoons. These phenomena pose limitations in the information presented to users online, prompting them to only read …
Read more “Study identifies human–AI interaction scenarios that lead to information cocoons”
The company debuted three new chipsets, next-generation MacBook Pro models, and a revamped iMac.
The ‘non-exhaustive’ 11-point framework will help guide developers in responsible AI creation and deployment. Read More
Screen readers, which convert digital text to audio, can make computers more accessible to many disabled users—including those who are blind, low vision or dyslexic. Yet slideshow software, such as Microsoft PowerPoint and Google Slides, isn’t designed to make screen reader output coherent.
Explore the role of labeled data in machine learning, the challenges it presents, techniques and the future of data labeling.Read More
Artificial intelligence already wears multiple hats in the workplace, whether its writing ad copy, handling customer support requests, or filtering job applications. As the technology continues its ascent and capabilities, the notion of corporations managed or owned by AI becomes less far-fetched. The legal framework already exists to allow “Zero-member LLCs.”
Filmmaker and producer Kenneth Lurt’s video depicts Jill Biden delivering a speech critical of President Biden’s policy on Israeli-Palestine.Read More
As Israel increases its ground operation in Gaza, the last remaining internet and mobile connections have gone dark.
The rise in capabilities of artificial intelligence (AI) systems has led to the view that these systems might soon be conscious. However, we might be underestimating the neurobiological mechanisms underlying human consciousness.