AI News

DECEMBER 10, 2024

Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving.

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Unite.AI

DECEMBER 19, 2024

AI is becoming a more significant part of our lives every day. But as powerful as it is, many AI systems still work like black boxes. Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. Thats where LLMs come in.

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Unite.AI

MARCH 6, 2025

Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media. Yet, beneath its impressive capabilities lies a concerning trend that could redefine the future of AI. This has led to an unexpected behavior.

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Unite.AI

MARCH 14, 2024

We’ve heard stories about how artificial intelligence is able to “pick winners” and make overnight fortunes for investors – but even top scientists often have no idea how AI is doing those things. Many investors concentrate on specific assets, using AI to time purchases and sales – to great success.

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Unite.AI

JUNE 26, 2023

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. AI Gone Wrong: Who’s to Blame?

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Towards AI

NOVEMBER 7, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are diving into some very interesting resources on the AI ‘black box problem’, interpretability, and AI decision-making. Learn AI Together Community section! AI poll of the week!

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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