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Denied by AI: How Medicare Advantage plans use algorithms to cut off care for seniors in need

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An algorithm, not a doctor, predicted a rapid recovery for Frances Walter, an 85-year-old Wisconsin woman with a shattered left shoulder and an allergy to pain medicine. days, it estimated, she would be ready to leave her nursing home. Read the rest…

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Introducing AI Explainability 360: A New Toolkit to Help You Understand what Machine Learning Models are Doing

KDnuggets

Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.

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Qualcomm just bought an AI company you’ve never heard of

Dataconomy

Qualcomm dove deeper into the AI pool, acquiring the generative AI division of Hanoi-based VinAI in a deal announced Monday. Financial details remain undisclosed, but the move signals Qualcomm’s accelerating interest in AI tools and talent. Featured image credit

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On-Device AI: Making AI Models Deeper Allows Them to Run on Smaller Devices

Dataconomy

On-device AI and running large language models on smaller devices have been one of the key focus points for AI industry leaders over the past few years. This area of research is among the most critical in AI, with the potential to profoundly influence and reshape the role of AI, computers, and mobile devices in everyday life.

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The Algorithmic Accountability Act of 2019: Taking the Right Steps Toward AI Success

DataRobot

The Algorithmic Accountability Act of 2019 would apply to any business which: This week, two U.S. senators have introduced a bill that would require large companies and specialist data traders to assess and manage the risks associated with automated decision systems.

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6 high-growth AI stocks catching the attention of Wall Street’s elite

Dataconomy

Investors are advised to closely monitor AI stocks, particularly those that have garnered attention from billionaire money managers. Uber Uber Technologies (UBER) has evolved as a significant player in the technology sector, although it has faced challenges since its IPO in 2019. In 2024, the company generated $9.86 billion from $3.36

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Princeton University’s ‘AI Snake Oil’ authors say generative AI hype has ‘spiraled out of control’

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Back in 2019, Princeton University’s Arvind Narayanan, a professor of computer science and expert on algorithmic fairness, artificial intelligence and privacy, shared a set of slides on Twitter called “AI Snake Oil.” The presentation, which claimed that “much of what’s being sold as ‘AI’ today is …