Weird Science: AI’s Impact on Animal Research

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Animal research has always walked a tightrope between necessity and controversy. It has yielded critical breakthroughs in medicine, psychology, and ...
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AI’s Struggle to Read Analogue Clocks May Have Deeper Significance

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A new paper from researchers in China and Spain finds that even advanced multimodal AI models such as GPT-4.1 struggle ...
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AI’s Biggest Opportunity in Finance Isn’t New Models—It’s Unlocking Old Data

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As artificial intelligence continues its rapid advance across industries, financial services firms find themselves at a crossroads. Eager to harness ...
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AI’s Real Value Is Built on Data and People – Not Just Technology

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The promise of AI expands daily – from driving individual productivity gains to enabling organizations to uncover powerful new business ...
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How Patronus AI’s Judge-Image is Shaping the Future of Multimodal AI Evaluation

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Multimodal AI is transforming the field of artificial intelligence by combining different types of data, such as text, images, video, ...
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How Does Claude Think? Anthropic’s Quest to Unlock AI’s Black Box

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Large language models (LLMs) like Claude have changed the way we use technology. They power tools like chatbots, help write ...
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New Survey Finds Balancing AI’s Ease of Use with Trust is Top of Business Leaders Minds

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A recent CIO report revealed that enterprises are investing up to $250 million in AI despite struggling to prove ROI. ...
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Meta AI’s MILS: A Game-Changer for Zero-Shot Multimodal AI

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For years, Artificial Intelligence (AI) has made impressive developments, but it has always had a fundamental limitation in its inability ...
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AI’s Data Dilemma: Privacy, Regulation, and the Future of Ethical AI

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AI-driven solutions are rapidly being adopted across diverse industries, services, and products every day. However, their effectiveness depends entirely on ...
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Post-RAG Evolution: AI’s Journey from Information Retrieval to Real-Time Reasoning

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For years, search engines and databases relied on essential keyword matching, often leading to fragmented and context-lacking results. The introduction ...
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