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A revolutionary method finally unlocks the mystery of how AI works. By uncovering the logic behind its decisions, this research shows how machines categorize the world and ensures AI systems are safer and smarter. Credit: SciTechDaily.com Scientists have developed a groundbreaking method to uncover how deep neural networks “think,” finally shedding light on their decision-making

December 23, 2024 1:54 PM VentureBeat/Ideogram Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More MRI images are understandably complex and data-heavy.  Because of this, developers training large language models (LLMs) for MRI analysis have had to slice captured images into 2D. But this results

Domo arigato, Mr. Botto. The next artistic masterpiece may be more machine than man: An artificial intelligence design program called Botto has sold computerized works for megabucks and could revolutionize the creative space. Since its creation in 2021, Botto has created more than 150 works of various disciplines that have cumulatively raked in over $5

Dan Huttenlocher, SM ’84, PhD ’88, leads the way up to the eighth floor of Building 45, the recently completed headquarters of the MIT Schwarzman College of Computing. “There’s an amazing view of the Great Dome here,” he says, pointing out a panoramic view of campus and the Boston skyline beyond. The floor features a

Authors Charlotte Hu IBM Content Contributor There is a greater tech talent shortage across multiple industries at large. Part of the problem is the rapid advancement of artificial intelligence (AI) and the proliferation of new technologies, such as generative AI (gen AI), which are shifting the types of roles and skill requirements companies are hiring for

Recent research has uncovered significant security vulnerabilities in open-source machine learning (ML) frameworks, putting sensitive data and operations at risk. As ML adoption grows across industries, so does the urgency of addressing these threats. The vulnerabilities, identified in a report by JFrog, reveal gaps in ML security compared to more established systems like DevOps and

From conferences to surveys We are living in an era of superlatives. Each year, month, week, new advancements in machine learning research are announced. The number of (ML) papers added to arXiv is growing equally fast. More than 11 000 papers have been added last October in the Computer Science Category. Photo by Liam Charmer

Launching a new tool OpalAI, Dan Brown has managed to combine his two passions.  When he’s not putting his Microsoft expertise to use, Adelaide-based MVP Daniel Brown has another passionate project – opal mining.  With his launch of a new tool OpalAI, he has managed to combine his two passions.  Twice per year, Brown’s other

As Donald Trump prepares to take office, America’s artificial intelligence (AI) policy stands at a crucial turning point, sparking debates about the future of AI development and regulation. His victory as the 47th president has already earned congratulations from tech giants like Jeff Bezos and ignited discussions about potentially giving Elon Musk a significant role

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