
Nature Machine Intelligence
@NatMachIntell
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A @SpringerNature journal on AI, robotics and machine learning. Tweets by @LCVenema
London, England
Joined November 2017
Nature Machine Intelligence has turned 5! Many thanks to all colleagues, authors and referees for helping us shape the journal. Read our anniversary edition of AI Reflections - interviews with recent Comment and Perspective authors
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RT @NatureGeosci: Focus: Artificial intelligence in geoscience - collating recent @NatureGeosci research articles that use AI methods and o….
nature.com
Artificial intelligence (AI) techniques are increasingly being adopted in geoscience.
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RT @ebervector: So pleased to have been able to write a little commentary piece with my advisor @weixx2 for @NatMachIntell! It's about this….
nature.com
Nature Machine Intelligence - Constructing spatial maps from sensory inputs is challenging in both neuroscience and artificial intelligence. A recent study demonstrates that a self-attention neural...
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RT @SvenNyholm: New (short) paper by Silvia Milano (@SilviaMilano1) and me: "Advanced AI assistants that act on our behalf may not be ethic….
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RT @QingxuZhu: I'm thrilled to announce that our paper has been published in Nature Machine Intelligence @NatMachIntell today! To encourage….
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This year may see big advances in solving longstanding robotics challenges with generative AI - or are expectations too high? We discuss various viewpoints in our June editorial.
nature.com
Nature Machine Intelligence - In the current wave of excitement about applying large vision–language models and generative AI to robotics, expectations are running high, but conquering...
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RT @hannahrosekirk: Great to see our personalised LLMs article in this @NatMachIntell editorial. Increased empathy exemplifies 2nd-order ef….
nature.com
Nature Machine Intelligence - Personalized LLMs built with the capacity for emulating empathy are right around the corner. The effects on individual users need careful consideration.
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RT @NatComputSci: 📢Our May issue is now live, and it includes a Perspective on computational frameworks for semiconductor discovery, a data….
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RT @pschwllr: More than a year after the preprint, I’m excited to have the first @SchwallerGroup study featured on the @EPFL landing page -….
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RT @Amit_Goldenb: Great questions about AI and empathy in this short piece: People cannot experience love from an LLM unless they act on th….
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RT @jankosinski: This is the end of the world as we know it, if this is reproducible! The new era of functional modeling has begun. I took….
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RT @andrewwhite01: ChemCrow is out today in @NatMachIntell! ChemCrow is an agent that uses chem tools and a cloud-based robotic lab for ope….
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RT @BerruetaThomas: ⚡️New paper in @NatMachIntell⚡️. Embodied AI is the future, but are our algorithms ready for it? With MaxDiff RL, we re….
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RT @hannahrosekirk: Published in Nature Machine Intelligence today, our new article explores the trade-offs of personalised alignment in la….
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RT @igashov: Our method for molecular linker design with diffusion models (DiffLinker) got published in @NatMachIntell 🥳. .
nature.com
Nature Machine Intelligence - Fragment-based molecular design uses chemical motifs and combines them into bio-active compounds. While this approach has grown in capability, molecular linker methods...
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RT @adeenflinker: New paper out today in @NatMachIntell, where we show robust neural to speech decoding across 48 patients. .
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RT @skinniderlab: Very happy to share this work testing a widespread assumption in chemical AI and showing that invalid SMILES are a featur….
nature.com
Nature Machine Intelligence - Generative models for chemical structures are often trained to create output in the common SMILES notation. Michael Skinnider shows that training models with the goal...
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RT @NatComputSci: 📢Our March issue is now live, and it’s a special one, including a Focus that highlights the state of the art, challenges,….
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Our March editorial, about the longstanding and evolving connections between neuroscience and AI research
nature.com
Nature Machine Intelligence - After several decades of developments in AI, has the inspiration that can be drawn from neuroscience been exhausted? Recent initiatives make the case for taking a...
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RT @enzoferrante: We made it to the cover of Nature Machine Intelligence @NatMachIntell !. Congrats @rodbonazzola @affrangi and team!. If y….
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RT @ayushnoori: We’re pretty excited about this work from @KyleWSwanson, @james_y_zou, @ItsJonStokes and team, out now in @NatMachIntell.….
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