Results 71 to 80 of about 1,888,792 (317)

Biological learning and artificial intelligence [PDF]

, 1994
It was once taken for granted that learning in animals and man could be explained with a simple set of general learning rules, but over the last hundred years, a substantial amount of evidence has been accumulated that points in a quite different ...
Balkenius, Christian
core   +3 more sources

Projective simulation for classical learning agents: a comprehensive investigation

, 2014
We study the model of projective simulation (PS), a novel approach to artificial intelligence based on stochastic processing of episodic memory which was recently introduced [H.J. Briegel and G. De las Cuevas. Sci. Rep. 2, 400, (2012)]. Here we provide a
Briegel, Hans J., Makmal, Adi, Manzano, Daniel, Mautner, Julian, Tiersch, Markus   +4 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction

Sensors, 2023
Allocentric semantic 3D maps are highly useful for a variety of human–machine interaction related tasks since egocentric viewpoints can be derived by the machine for the human partner. Class labels and map interpretations, however, may differ or could be
László Kopácsi, Benjámin Baffy, Gábor Baranyi, Joul Skaf, Gábor Sörös, Szilvia Szeier, András Lőrincz, Daniel Sonntag   +7 more
doaj   +1 more source

The Hanabi Challenge: A New Frontier for AI Research

, 2019
From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made dramatic advances with artificial agents reaching superhuman performance ...
Bard, Nolan, Bellemare, Marc G., Bowling, Michael, Burch, Neil, Chandar, Sarath, Dumoulin, Vincent, Dunning, Iain, Foerster, Jakob N., Hughes, Edward, Lanctot, Marc, Larochelle, Hugo, Moitra, Subhodeep, Mourad, Shibl, Parisotto, Emilio, Song, H. Francis   +14 more
core   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Real-Time multifaceted artificial intelligence vs In-Person instruction in teaching surgical technical skills: a randomized controlled trial

Scientific Reports
Trainees develop surgical technical skills by learning from experts who provide context for successful task completion, identify potential risks, and guide correct instrument handling.
Recai Yilmaz, Mohamad Bakhaidar, Ahmad Alsayegh, Nour Abou Hamdan, Ali M. Fazlollahi, Trisha Tee, Ian Langleben, Alexander Winkler-Schwartz, Denis Laroche, Carlo Santaguida, Rolando F. Del Maestro   +10 more
doaj   +1 more source

Teaching and learning with Artificial Intelligence

Project Approaches in Engineering Education
Artificial Intelligence (AI) has significant potential to revolutionize teaching and learning methods by providing innovative tools that personalize teaching and make the learning process more efficient. In this way, it is possible to create dynamic scenarios more easily, promoting the evolution of teaching towards a model based on the development of ...
Magalhães, Andreia, Andrade, António
openaire   +1 more source

Artificial Intelligence: Learning and Limitations

WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION, 2020
Artificial Intelligence, IA, is a new technology with enormous potential to change the world forever as we know it. It finds applications in many fields of human activity, including services, industry, education, social networks, transportation, among others.
Alisson Paulo De Oliveira, Hugo Ferreira Tadeu Braga   +1 more
openaire   +1 more source

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