Results 21 to 30 of about 1,007,642 (258)

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions

Engineering
The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence (AGI) to the forefront of the artificial intelligence (AI) field once again.
Yujia Peng, Jiaheng Han, Zhenliang Zhang, Lifeng Fan, Tengyu Liu, Siyuan Qi, Xue Feng, Yuxi Ma, Yizhou Wang, Song-Chun Zhu   +9 more
doaj   +1 more source

Age-related changes in the risk of high blood pressure

Frontiers in Cardiovascular Medicine, 2022
Background and aimsUnderstanding the age-related trend of risk in high blood pressure (BP) is important for preventing heart failure and cardiovascular diseases. But such a trend is still underexplored.
Weibin Cheng, Weibin Cheng, Weibin Cheng, Yumeng Du, Qingpeng Zhang, Xin Wang, Chaocheng He, Jingjun He, Fengshi Jing, Hao Ren, Mengzhuo Guo, Junzhang Tian, Zhongzhi Xu, Zhongzhi Xu   +13 more
doaj   +1 more source

Self-Regulating Artificial General Intelligence

, 2018
Here we examine the paperclip apocalypse concern for artificial general intelligence (or AGI) whereby a superintelligent AI with a simple goal (ie., producing paperclips) accumulates power so that all resources are devoted towards that simple goal and ...
Gans, Joshua S.
core   +1 more source

General Video Game AI: Learning from screen capture [PDF]

, 2017
General Video Game Artificial Intelligence is a general game playing framework for Artificial General Intelligence research in the video-games domain. In this paper, we propose for the first time a screen capture learning agent for General Video Game AI ...
Kunanusont, K, Lucas, SM, Perez Liebana, D   +2 more
core   +2 more sources

A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps

Engineering
In this work, we present a reconfigurable data glove design to capture different modes of human hand–object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks.
Hangxin Liu, Zeyu Zhang, Ziyuan Jiao, Zhenliang Zhang, Minchen Li, Chenfanfu Jiang, Yixin Zhu, Song-Chun Zhu   +7 more
doaj   +1 more source

Deep convolutional neural networks to predict cardiovascular risk from computed tomography

Nature Communications, 2021
Coronary artery calcium is an accurate predictor of cardiovascular events but this information is not routinely quantified. Here the authors show a robust and time-efficient deep learning system to automatically quantify coronary calcium on CT scans and ...
Roman Zeleznik, Borek Foldyna, Parastou Eslami, Jakob Weiss, Ivanov Alexander, Jana Taron, Chintan Parmar, Raza M. Alvi, Dahlia Banerji, Mio Uno, Yasuka Kikuchi, Julia Karady, Lili Zhang, Jan-Erik Scholtz, Thomas Mayrhofer, Asya Lyass, Taylor F. Mahoney, Joseph M. Massaro, Ramachandran S. Vasan, Pamela S. Douglas, Udo Hoffmann, Michael T. Lu, Hugo J. W. L. Aerts   +22 more
doaj   +1 more source

Vision-language large learning model, GPT4V, accurately classifies the Boston Bowel Preparation Scale score

BMJ Open Gastroenterology
Introduction Large learning models (LLMs) such as GPT are advanced artificial intelligence (AI) models. Originally developed for natural language processing, they have been adapted for multi-modal tasks with vision-language input. One clinically relevant
Yuhe Ke, Chee Kiat Tan, Yu Bin Tan, Daniel Yan Zheng Lim, Jonas Ren Yi Ho, Sushmitha Carkarine, Tian Wei Valerie Chew, Jen Hong Tan, Ting Fang Tan, Kabilan Elangovan, Le Quan, Li Yuan Jin, Jasmine Chiat Ling Ong, Gerald Gui Ren Sng, Joshua Yi Min Tung, Damien Tan   +15 more
doaj   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Death and Suicide in Universal Artificial Intelligence

, 2016
Reinforcement learning (RL) is a general paradigm for studying intelligent behaviour, with applications ranging from artificial intelligence to psychology and economics.
Everitt, Tom, Hutter, Marcus, Martin, Jarryd   +2 more
core   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source