Results 51 to 60 of about 10,151,897 (282)

Global Catastrophic Biological Risks: Toward a Working Definition [PDF]

Health Security, 2017
The Johns Hopkins Center for Health Security is working to analyze and deepen scientific dialogue regarding potential global catastrophic biological risks (GCBRs), in a continuation of its mission to reduce the consequences of epidemics and disasters.
Schoch-Spana, Monica, Cicero, Anita, Adalja, Amesh, Gronvall, Gigi, Kirk Sell, Tara, Meyer, Diane, Nuzzo, Jennifer B., Ravi, Sanjana, Shearer, Matthew P., Toner, Eric, Watson, Crystal, Watson, Matthew, Inglesby, Tom   +12 more
openaire   +2 more sources

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Long-term cost-effectiveness of interventions for loss of electricity/industry compared to artificial general intelligence safety

European Journal of Futures Research, 2021
Extreme solar storms, high-altitude electromagnetic pulses, and coordinated cyber attacks could disrupt regional/global electricity. Since electricity basically drives industry, industrial civilization could collapse without it.
David Denkenberger, Anders Sandberg, Ross John Tieman, Joshua M. Pearce   +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

Net zero climate remediations and potential terminal depletion of global critical metal resources: A synoptic geological perspective

Geosystems and Geoenvironment, 2023
Over the past two decades, concerns about anthropogenic CO2 emissions have led to computer-based climate models of the consequences, first on global warming and then on more general climate change.
David I. Groves, M. Santosh, Liang Zhang
doaj   +1 more source

Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage: The Global Burden of Disease Study 2021 [PDF]

IMPORTANCE Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments.
Ilari Rautalin, Victor Volovici, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors Collaborators, Luca Cegolon   +3 more
core   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Limits of Risk Predictability in a Cascading Alternating Renewal Process Model

Scientific Reports, 2017
Most risk analysis models systematically underestimate the probability and impact of catastrophic events (e.g., economic crises, natural disasters, and terrorism) by not taking into account interconnectivity and interdependence of risks.
Xin Lin, Alaa Moussawi, Gyorgy Korniss, Jonathan Z. Bakdash, Boleslaw K. Szymanski   +4 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Nuclear War as a Global Catastrophic Risk [PDF]

Journal of Benefit-Cost Analysis, 2019
AbstractNuclear war is clearly a global catastrophic risk, but it is not an existential risk as is sometimes carelessly claimed. Unfortunately, the consequence and likelihood components of the risk of nuclear war are both highly uncertain. In particular, for nuclear wars that include targeting of multiple cities, nuclear winter may result in more ...
openaire   +1 more source