New research from EPFL demonstrates that even the most recent Large Language Models (LLMs), despite undergoing safety training, remain vulnerable to simple input manipulations that can cause them to behave in unintended or harmful ways.
(more…)New research from EPFL demonstrates that even the most recent Large Language Models (LLMs), despite undergoing safety training, remain vulnerable to simple input manipulations that can cause them to behave in unintended or harmful ways.
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Artificial intelligence (AI) may be a weapon of mass disinformation, but a recent report has demonstrated that its impact thus far has been limited.
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EPFL’s Anastasiia Koloskova has won this year’s ELLIS PhD award, which recognizes European dissertations in the area of artificial intelligence and machine learning-related fields.
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More than 40 researchers from across the fields of AI and biology, including from EPFL, have set out their vision for AI-powered Virtual Cells, arguing that these have the potential to revolutionize the scientific process.
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Attributing human traits to machines is nothing new, but with the rise of generative artificial intelligence, anthropomorphism is taking on a new dimension. This trend raises crucial philosophical and ethical issues, while redefining our relationship with technology.
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EPFL researchers have built a drone that can walk, hop, and jump into flight with the aid of birdlike legs, greatly expanding the range of potential environments accessible to unmanned aerial vehicles.
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EPFL research investigating the potential impact on education of AI assistants has found that systems like GPT-4 can answer up to 85% of university assessment questions correctly.
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EPFL’s new Kuma supercomputer, which ranks 23rd in the Green500 ranking, illustrates EPFL’s efforts to support cutting-edge research with a low environmental impact. With Kuma, EPFL is helping anchor Switzerland’s position at the forefront of sustainable computing.
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IC Assistant Professor Maria Brbić, has been awarded SNSF Starting Grants for her innovative research project tackling a critical scientific and societal challenge.
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Scientists at EPFL have advanced their NeuroMechFly model, simulating fruit fly movement in the real world. With integrated vision and smell, it helps us understand brain-body coordination, setting a path for neuroengineering’s role in robotics and AI.
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