Results 71 to 80 of about 1,511,196 (292)

Technological capability building through networking strategies within high-tech industries [PDF]

open access: yes
Learning through networks has been considered as an important research topic for several years now. Technological learning is more and more based on a combination of internal and external learning and firms need to develop both technological and social ...
Beerkens, Bonnie   +2 more
core  

Technical Change Theory and Learning Curves: Patterns of Progress in Energy Technologies [PDF]

open access: yes, 2006
This paper presents a comparative analysis of energy technology learning and progress within the framework of Schumpeter’s invention-innovation-diffusion paradigm.
Jamasb, Tooraj
core   +2 more sources

Liquid Metal Sensors for Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang   +7 more
wiley   +1 more source

The Association Between Schizophrenia Risk Variants and Creativity in Healthy Han Chinese Subjects

open access: yesFrontiers in Psychology, 2019
Although previous evidence has suggested that there is a genetic link between schizophrenia and creativity, the specific genetic variants that underlie the link are still largely unknown.
Dan Wang   +13 more
doaj   +1 more source

Learning about Education [PDF]

open access: yes
Limited human capital investment is a common characteristic of low-income countries despite the fact that estimated returns to educational investment in low-income countries are generally higher than in high-income countries.
Emerson, Patrick M., McGough, Bruce
core  

Learning through social spaces: migrant women and lifelong learning in post-colonial London [PDF]

open access: yes, 2010
This article shows how migrant women engage in learning through social spaces. It argues that such spaces are little recognised, and that there are multiple ways in which migrant women construct and negotiate their informal learning through socialising ...
Bachu P.   +48 more
core   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

Environmental Policy, the Porter Hypothesis and the Composition of Capital: Effects of Learning and Technological Progress [PDF]

open access: yes
In this paper the e.ect of environmental policy on the composition of capital is investigated.By allowing for non-linearities it generalizes Xepapadeas and De Zeeuw (Journal of Environmental Economics and Management, 1999) and determines scenarios in ...
Feichtinger, G.   +3 more
core   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

Learning and excess volatility [PDF]

open access: yes
We introduce adaptive learning behavior into a general equilibrium lifecycle economy with capital accumulation. Agents form forecasts of the rate of return to capital assets using least squares autoregressions on past data.
James Bullard, John Duffy
core  

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