Follow the ideas that keep turning up in Hacker News discussions.
Scott Aaronson
In honor of Alan Turing's hundredth birthday, I unwisely set out some thoughts about one of Turing's obsessions throughout his life, the question of physics and free will.
Yiqun Duan, Jinzhao Zhou, Zhen Wang +2
The translation of brain dynamics into natural language is pivotal for brain-computer interfaces (BCIs).
Purna Mukherjee, Zachary M. Augur, Mingyi Li +10
AbstractGlioblastoma (GBM) is an aggressive primary human brain tumour that has resisted effective therapy for decades.
Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan +5
This study explores the neural and behavioral consequences of LLM-assisted essay writing.
Sara Sabour, Nicholas Frosst, Geoffrey E Hinton
A capsule is a group of neurons whose activity vector represents the instantiation parameters of a specific type of entity such as an object or an object part.
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum +1
Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people.
James C. R. Whittington, Joseph Warren, Timothy E. J. Behrens
Many deep neural network architectures loosely based on brain networks have recently been shown to replicate neural firing patterns observed in the brain.
Daniel Shawcross Wilkerson
Most music theory books are like medieval medical textbooks: they contain unjustified superstition, non-reasoning, and funny symbols glorified by Latin phrases.
Max Tegmark
We examine the hypothesis that consciousness can be understood as a state of matter, "perceptronium", with distinctive information processing abilities.
Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko +5
Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks.
Alexei A. Sharov, Richard Gordon
An extrapolation of the genetic complexity of organisms to earlier times suggests that life began before the Earth was formed.
Wes Gurnee, Max Tegmark
The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a set of more coherent and grounded representations that reflect the real world.
Elisabetta Lauretti, Domenico Praticò
AbstractIn recent years consumption of canola oil has increased due to lower cost compared with olive oil and the perception that it shares its health benefits.
Gary Marcus
Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute.
Takeshi Kojima, Shixiang Shane Gu, Machel Reid +2
Pretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners with task-specific exemplars.
Stephen D. H. Hsu
How do genes affect cognitive ability or other human quantitative traits such as height or disease risk?
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky +2
When a large feedforward neural network is trained on a small training set, it typically performs poorly on held-out test data.
Yoshua Bengio, Dong-Hyun Lee, Jorg Bornschein +2
Neuroscientists have long criticised deep learning algorithms as incompatible with current knowledge of neurobiology.
Emily A. Partridge, Marcus G. Davey, Matthew A. Hornick +15
Abstract In the developed world, extreme prematurity is the leading cause of neonatal mortality and morbidity due to a combination of organ immaturity and iatrogenic injury.
Louisa Dahmani, Véronique D. Bohbot
Abstract Global Positioning System (GPS) navigation devices and applications have become ubiquitous over the last decade.
Ali Gordji-Nejad, Andreas Matusch, Sophie Kleedörfer +5
AbstractThe inverse effects of creatine supplementation and sleep deprivation on high energy phosphates, neural creatine, and cognitive performances suggest that creatine is a suitable candidate for reducing the negative effects of sleep deprivation.
Kyle Mahowald, Anna A. Ivanova, Idan A. Blank +3
Large Language Models (LLMs) have come closest among all models to date to mastering human language, yet opinions about their linguistic and cognitive capabilities remain split.
Patrick Butlin, Robert Long, Eric Elmoznino +16
Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern.
Guan Wang, Jin Li, Yuhao Sun +6
Reasoning, the process of devising and executing complex goal-oriented action sequences, remains a critical challenge in AI.
Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala +6
In recent years deep reinforcement learning (RL) systems have attained superhuman performance in a number of challenging task domains.
Christopher J. Cueva, Xue-Xin Wei
Decades of research on the neural code underlying spatial navigation have revealed a diverse set of neural response properties.
Judy Hanwen Shen, Alex Tamkin
AI assistance produces significant productivity gains across professional domains, particularly for novice workers.
Max Tegmark
Based on a calculation of neural decoherence rates, we argue that that the degrees of freedom of the human brain that relate to cognitive processes should be thought of as a classical rather than quantum system, i.e., that there is nothing fundamentally wrong with the current classical approach to neural network simulations.
Remi Daviet, Gökhan Aydogan, Kanchana Jagannathan +5
Abstract Heavy alcohol consumption has been associated with brain atrophy, neuronal loss, and poorer white matter fiber integrity.
Robert R. Scully, Mathias Basner, Jad Nasrini +7
Abstract Acute exposure to carbon dioxide (CO 2 ) concentrations below those found on the International Space Station are reported to deteriorate complex decision-making.