Joined May 2011
And back to working with a view – at Manhattan, NY
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Loved the panel at @SusHiTech_SUJP about knowledge, information dissemination and intellectual property in the age of #ai. Thanks for having me!
Session: From Research to Impact: The Vision of University Spin Off Startups in Protecting, Creating, and Commercializing Knowledge in the Age of AI The rapid evolution of AI is fundamentally rethinking the nature of knowledge, copyright, and intellectual property. Leaders from various fields, including Professor Yutaka Matsuo (@ymatsuo) from the University of Tokyo and Saskia Steinacker from Springer Nature AG & Co. KGAA, will gather to discuss from multiple perspectives the "creation of knowledge and realization of a safe society" in the AI ​​era, from the standpoint of promoting startups based on university research results. Key Points to Note! 🎓 A stellar lineup of speakers from the forefront of knowledge, including the University of Tokyo and the World Intellectual Property Organization, will gather. 🔐 Deep dive into the intersection of AI and intellectual property, security, and governance. 🚀 University-born startups will present their vision for a sustainable and advanced knowledge-creating society. Experience firsthand the new horizons of the AI ​​era—protecting, creating, and utilizing knowledge. 📅 April 28th (Tue) 16:00-16:45 Impact Stage 🔗 Details here → sushitech-startup.metro.toky… #STT2026 #AI #Innovation
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Thank you for having me #DLD2026 to talk about “From Fake Science to Faster Breakthroughs: AI’s Double-Edged Impact on Science”, it has been a pleasure to meet all the great minds at the conference!
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Thanks #GITEX for having me and being able to discuss with experts how #AI will transform Healthcare. #teambayer #healthforallhungerfornone
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Great day at #GITEXAFRICA, looking forward to my panel!
🎥 Day 1 at #GITEXAFRICA 2024 was a blast! 🙌🏻 From mind-blowing tech demos to inspiring keynotes, here are the top moments that made today unforgettable. We’re just getting started, so gear up for more innovation and excitement tomorrow.
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Google DeepMind’s new AlphaFold can model a much larger slice of biological life [..] can predict how DNA, RNA and other molecules interact, further cementing its leading role in drug discovery and research.#MIT search.app/KGFjVaV7txf7ayL17
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Saskia Steinacker retweeted
An extreme close-up of an gray-haired man with a beard in his 60s, he is deep in thought pondering the history of the universe as he sits at a cafe in Paris, his eyes focus on people offscreen as they walk as he sits mostly motionless, he is dressed in a wool coat suit coat...
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Saskia Steinacker retweeted
AI researcher tuning hyperparameters of their LLM
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Google #deepmind using #LLM to solve an until now unsolved mathematical problem technologyreview.com/2023/12…
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Interesting approach weak-to- strong generalization
In the future, humans will need to supervise AI systems much smarter than them. We study an analogy: small models supervising large models. Read the Superalignment team's first paper showing progress on a new approach, weak-to-strong generalization: openai.com/research/weak-to-…
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The European Union has agreed an #AI Act, a landmark regulation for Artificial Intelligence. With this political deal, the EU moves toward becoming the first major world power to enact laws to govern AI. The law is expected to go live in 2026. europarl.europa.eu/news/en/p…
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Year-end celebration of all the accomplishments of our #digitalhub in #Warsaw - outstanding team and can’t wait to see what they accomplish in 2024! #teambayer
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When you hotel has tiny rooms, but a sensational rooftop #NewYorkCity – at Manhattan, NY
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Thanks @GITEX_GLOBAL for inviting me to discuss how to make #AI projects a success with a star panel line up. Maximize the benefits to deliver #CustomerSatisfaction while taking care of #ethics, compliance/security, smart set-up and most important high quality, diverse #data. – at Dubai, United Arab Emirates
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Super interesting paper by @wesg52 and @tegmark about #languagemodels stating they have an internal world model – at Cologne, Germany
Do language models have an internal world model? A sense of time? At multiple spatiotemporal scales? In a new paper with @tegmark we provide evidence that they do by finding a literal map of the world inside the activations of Llama-2!
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#Unsupervised, by Refik Anadol, AI art based on #machinelearning at #MoMa – at Manhattan, NY
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