Results 61 to 70 of about 109,451 (303)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Delusional procreation syndrome: Report from TURUVECARE community intervention program

Indian Journal of Psychological Medicine, 2013
New insights on Delusional Procreation Syndrome (DPS), a sequence of delusions in the cycle of human procreation are emerging in recent times. Till date, most of the data on DPS are reported from the clinical samples. Authors report case series of having
Narayana Manjunatha, Shanivaram K Reddy, N R Renuka Devi, Vikram Rawat, Somashekar Bijjal, Naveen C Kumar, K V Kishrore Kumar, Jagadisha Thirthalli, B N Gangadhar   +8 more
doaj   +1 more source

Sleep Deprivation and Delusion Proneness: Influence on Dream Bizarreness [PDF]

, 2012
While evidence for many types of psychotic experience exists in the general population, dreams have been a particularly prominent model for hallucinations and delusions in otherwise healthy individuals.
Lezon, Anna Leigh
core   +1 more source

Against Explanatory Minimalism in Psychiatry [PDF]

, 2015
The idea that psychiatry contains, in principle, a series of levels of explanation has been criticised both as empirically false but also, by Campbell, as unintelligible because it presupposes a discredited pre-Humean view of causation.
Arrington, Campbell, Campbell, Campbell, Campbell, Craver, Currie, Davidson, Dennett, Frith, Hopkins, Marr, Murphy, Oppenheim, Thornton, Wittgenstein, Wittgenstein, Woodward   +17 more
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Delusional Altruism: Avoiding Self-Deception and Disrespect [PDF]

, 2017
Our new white paper explains the damage that Delusional Altruism can do to your philanthropic effectiveness. Including real-world examples from funders just like you. Most importantly, it provides a roadmap for escape.Here's a sample of what you'll learn:

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Avoiding Wireheading with Value Reinforcement Learning

, 2016
How can we design good goals for arbitrarily intelligent agents? Reinforcement learning (RL) is a natural approach. Unfortunately, RL does not work well for generally intelligent agents, as RL agents are incentivised to shortcut the reward sensor for ...
B Hibbard, CE Sezener, D Dewey, M Ring
core   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Am I delusional? [PDF]

, 2014
Background Delusions are a significant feature of mental illnesses and can occur in many clinical conditions (Maher, 2001) yet the standard clinical definition (American Psychiatric Association. DSM-5 Task Force, 2013) is highly contentious.
Gunn, Rachel
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