Hub AI research

Artificial Intelligence is already part of everyday life. Since the ImageNet moment in 2012, when Deep Learning proved its great utility in combination with a lot of computing power and gigantic amounts of data, only about ten years have passed – yet there has been more progress than in half a century before.

Still, many questions remain: Will Deep Learning remain the gold standard of AI development? What are the performance limits of large AI systems? Do we need symbolic systems? What technology will lead to artificial general intelligence? Finally, what actually is intelligence, anyway?

We explore these topics and more in our Artificial Intelligence Research Content Hub.

AI research

Study reveals AI models have hidden capabilities they can't access through normal prompts

AI research

Apple AI researchers question OpenAI's claims about o1's reasoning capabilities

AI research

Study reveals major reasoning flaws in smaller AI language models

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AI research
Short

DeepSeek has launched its new AI model "DeepSeek-R1-Lite-Preview" on chat.deepseek.com. The language model specializes in mathematical thinking and logical reasoning. According to DeepSeek, the model shows strong performance on AIME and MATH benchmarks, which test mathematical abilities, matching the level of OpenAI's o1-preview. This performance is by design: Like OpenAI's model, DeepSeek-R1 is a "reasoning model," meaning the quality of its answers improves with longer thinking processes. One key difference is transparency - users can watch the system's thinking process in real time, while OpenAI only shows a summary. The company has previously released high-performing open-source models and plans to make both an API and R1 available as open source. DeepSeek hasn't announced a specific date for the open-source release.

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AI and society

US court ruling backs schools' right to penalize students for AI cheating

AI research

Study reveals AI models have hidden capabilities they can't access through normal prompts

AI research

Scaling laws for precision: AI researcher sees "perfect storm" for the end of scale

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