Results 41 to 50 of about 55,056 (264)

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Improving protein-ligand complex generation with force field guidance

Journal of Cheminformatics
Generative models based on diffusion and flow matching have recently been applied to structure-based drug design, but their outputs often include unrealistic protein–ligand interactions that do not obey the laws of physics.
Helen Lai, Tingyu Wang, Hassan Sirelkhatim, Joe Eaton, Howard Huang, Brad Rees, Ola Engkvist, Jon Paul Janet, Xiaoyun Wang, Alessandro Tibo   +9 more
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Folding the human proteome using BioNeMo: A fused dataset of structural models for machine learning purposes

Scientific Data
Human proteins are crucial players in both health and disease. Understanding their molecular landscape is a central topic in biological research. Here, we present an extensive dataset of predicted protein structures for 42,042 distinct human proteins ...
Michael Hetmann, Lena Parigger, Hassan Sirelkhatim, Abraham Stern, Andreas Krassnigg, Karl Gruber, Georg Steinkellner, David Ruau, Christian C. Gruber   +8 more
doaj   +1 more source

ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures

IEEE Open Journal of the Computer Society
Vision Transformers are being increasingly deployed in safety-critical applications that demand high reliability. Ensuring the correct execution of these models in GPUs is critical, despite the potential for transient hardware errors.
Haoxuan Liu, Vasu Singh, Michal Filipiuk, Siva Kumar Sastry Hari   +3 more
doaj   +1 more source

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming [PDF]

Electronic Proceedings in Theoretical Computer Science, 2019
Recent successes of Reinforcement Learning (RL) allow an agent to learn policies that surpass human experts but suffers from being time-hungry and data-hungry.
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson   +3 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Review on synergizing the Metaverse and AI-driven synthetic data: enhancing virtual realms and activity recognition in computer vision

Visual Intelligence
The Metaverse’s emergence is redefining digital interaction, enabling seamless engagement in immersive virtual realms. This trend’s integration with AI and virtual reality (VR) is gaining momentum, albeit with challenges in acquiring extensive human ...
Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See   +4 more
doaj   +1 more source

Learning Radio Environments by Differentiable Ray Tracing

IEEE Transactions on Machine Learning in Communications and Networking
Ray tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and environment-specific channel impulse responses (CIRs).
Jakob Hoydis, Faycal Ait Aoudia, Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan Ten Brink, Alexander Keller   +6 more
doaj   +1 more source

Datasets from the evaluation of the adoption and use of digital technologies in China museums

Data in Brief, 2019
The datasets described in this article were collected as a result of 5 months of funded study, carried out between 23rd January 2017 and 30th May 2017 within China.
Eugene Ch'ng, Shengdan Cai, Fui-Theng Leow, Tong Evelyn Zhang   +3 more
doaj   +1 more source