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🏆Nominations and Winners:

AI Research of the Year

Honorable Mentions

🏆 Justas Dauparas - Mega-scale experimental analysis of protein folding stability in biology and design

Full author list: Kotaro Tsuboyama, Justas Dauparas, Jonathan Chen, Elodie Laine, Yasser Mohseni Behbahani, Jonathan J. Weinstein, Niall M. Mangan, Sergey Ovchinnikov & Gabriel J. Rocklin, Nature 2023

• Rokas Gipiškis, The Impact of Adversarial Attacks on Interpretable Semantic Segmentation in Cyber-Physical Systems
• Minija Tamošiūnaitė, Bootstrapping Concept Formation in Small Neural Networks
• Tadas Baltrušaitis, Scamps: Synthetics for camera measurement of physiological signals
• Laurynas Karazija, Unsupervised multi-object segmentation by predicting probable motion patterns
• Tadas Baltrušaitis, "Rodin: A generative model for sculpting 3d digital avatars using diffusion
• Karolis Misiūnas, Neural architecture search for energy-efficient always-on audio machine learning
• Akvilė Žemgulytė, Accurate proteome-wide missense variant effect prediction with AlphaMissense
• Modestas Jurčius, Parallel Neurosymbolic Integration with Concordia
• Rūta Binkytė-Sadauskienė, Causal Discovery for Fairness

AI Company of the Year

🏆 Neurotechnology. Neurotechnology using neural networks for applications such as biometric person identification, computer vision, robotics and artificial intelligence.

The title of AI company of the year was won by the company "Neurotechnology", which uses neural networks in biometric personal recognition. The company is strengthening its hardware capabilities - this year it purchased ten NVIDIA H100 80GB SXM5 graphics processors, which are currently considered the most powerful in the world. In turn, it became the largest computing capacity with neural networks in Lithuania.