Top Tweets for #naturemachineintelligence
View the paper:
📰 Nature (official): https://t.co/1RVTIYWMo6
View-only (Springer Nature SharedIt): https://t.co/viwZbrXLU0
📘 Preprint: https://t.co/l9Gfl4uByP
#MultimodalAI #DeploymentCentricAI #NatureMachineIntelligence #UKOMAIN
Our new Nature Machine Intelligence Perspective presents a blueprint for deployment-centric multimodal AI beyond vision and language — building AI that works in the real world.
🔗 Read more: https://t.co/zaP5IjSYTs
@sheffielduni @turinginst #MultimodalAI #UKOMAIN
人間の脳が自然な場面を理解するとき
その表現の仕方が、大規模言語モデル（LLM）の“文章理解”と驚くほど似ていることが分かった
👉 AIと脳は、同じ言語的コードで風景を整理しているのかもしれない
#今日の論文紹介
#AIと脳
#NatureMachineIntelligence
Swarm navigation at 20 m/s with no communication, no state estimation, & on a $21 computer?
This paper combines deep learning + differentiable sim for zero-shot sim-to-real flight. It is an underrated breakthrough. Paper: https://t.co/5T14AxqE40
#naturemachineintelligence
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#AI #Proteomics #DeNovoSequencing #MassSpec #InstaNovo #NatureMachineIntelligence
Excited and proud to share our latest paper entitled "Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning" published in #NatureMachineIntelligence @SpringerNature
https://t.co/UUDeuWhdDP
@UniRijeka @hrzz_science
#NatureMachineIntelligence #Editorial Seeking a quantum advantage for machine learning https://t.co/kNN6J1YwKc "It is key to be honest about what quantum computers can do, now and in the near future, and whether they present an advantage over classical computing approaches."
AI can be a great asset in space exploration! 🚀 A new study shows that AI can help astronauts on long-term space missions with automated biomonitoring, data collection & analysis. #AIforSpaceExploration #AI #SpaceExploration #NatureMachineIntelligence
#NatureMachineIntelligence An ethical trajectory planning algorithm for autonomous vehicles https://t.co/1IghfSO5Es five ethical principles: minimization of the overall risk, priority for the worst-off, equal treatment of people, responsibility and maximum acceptable risk.
📘 Read our new article on #naturemachineintelligence - "An extension to the FDA approval process is needed to achieve AI equity": https://t.co/r0NpphkytW
#NatureMachineIntelligence Learning plastic matching of robot dynamics in closed-loop central pattern generators https://t.co/jAxSM1lXee How biological locomotion controllers learn to leverage the intelligence embodied in their leg mechanics.
Can Artificial Intelligence Aid in Seeing Cancer in New Ways? | PIVOT AI Tool
Watch More :- https://t.co/yrCdsTJXoG
#artificialintelligence
#ai #technology
#artificialgeneralintelligence
#aicompanies
#artificialintelligenceinhealthcare
#naturemachineintelligence
#aiprojects
I am so so proud our article on the Myoshirt has just been published with @SpringerNature in #NatureMachineIntelligence! I could not have wished for a better conclusion of my PhD at the #SMSLab @ETH_en.
Read and share with this link: https://t.co/7aUAmHGrv6 (SahredID)
Researchers at ETH Zurich have developed a #wearable textile #exomuscle that serves as an extra layer of muscles. They aim to use it to increase the upper body #strength and #endurance of people with restricted #mobility. #myoshirt https://t.co/0kl8X4NkkD
#OutNow Una pelle artificiale sensorizzata per i #robot collaborativi: è la nuova frontiera dello studio pubblicato su #NatureMachineIntelligence. I robot sentono e percepiscono grazie a una tecnologia che cambia l’interazione con persone e ambiente 👇
https://t.co/dRR7FB9EAz
Dual use of artificial-intelligence-powered drug discovery #NatureMachineIntelligence
https://t.co/yN2urYFYsx
An international security conference explored how artificial intelligence #AI technologies for drug discovery... @ssinha_ieee @TheGingerBoii
@itamblyn & friends have a new paper out at the intersection of #ReinforcementLearning and #Physics, another mmilestone on the road to #SelfDrivingChemistry - in #NatureMachineIntelligence (!) https://t.co/hvpxO1x5sb
#NatureMachineIntelligence The carbon impact of artificial intelligence https://t.co/bEDWR4k3Fh AI training models had been doubling every 3.4 months since 2012 — a wild deviation from Moore’s Law, which puts this at 18 months — accounting for a 300,000× increase.
Deep-Learning-Algorithmen klassifizieren Leukämie-Blutproben auf Experten-Niveau: München – Deep-Learning-Algorithmen können bei der Klassifizierung von Blutproben von Patienten mit akuter myeloischer… https://t.co/HcNmIMciyX #NatureMachineIntelligence #Leukaemie #KI
Our very own @MattiaG_Bergomi & colleagues have a new paper out!
#naturemachineintelligence #equivariance #MachineLearning
https://t.co/4ZJiWzJFOW
#NatureMachineIntelligence “Developing a brain atlas through deep learning (DL)” by Iqbal et al.
📌DL can accelerate brain-wide exploration of region-specific changes in brain development and diseases.
📌Link: https://t.co/TSOdf5kG2r
Erklärende #KI-Systeme in der Medizinforschung: Lernende Maschinen erklären, wie sie zu ihren Entscheidungen kommen >> https://t.co/6wyq7E0BRG via @faznet #KünstlicheIntelligenz #AI #NatureMachineIntelligence #Arztbrief #Healthcare
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