Search Results for author: Manuel Blum

Found 9 papers, 2 papers with code

AI Consciousness is Inevitable: A Theoretical Computer Science Perspective

no code implementations25 Mar 2024 Lenore Blum, Manuel Blum

We look at consciousness through the lens of Theoretical Computer Science, a branch of mathematics that studies computation under resource limitations.

A Theoretical Computer Science Perspective on Free Will

no code implementations25 Jun 2022 Lenore Blum, Manuel Blum

We consider the paradoxical concept of free will from the perspective of Theoretical Computer Science (TCS), a branch of mathematics concerned with understanding the underlying principles of computation and complexity, including the implications and surprising consequences of resource limitations.

A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machine

no code implementations29 Jul 2021 Lenore Blum, Manuel Blum

The quest to understand consciousness, once the purview of philosophers and theologians, is now actively pursued by scientists of many stripes.

A Theoretical Computer Science Perspective on Consciousness

no code implementations18 Nov 2020 Manuel Blum, Lenore Blum

The quest to understand consciousness, once the purview of philosophers and theologians, is now actively pursued by scientists of many stripes.

Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller

no code implementations12 Jun 2018 Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker

Most approaches for early seizure detection in the literature are, however, not optimized for implementation on ultra-low power microcontrollers required for long-term implantation.

EEG Seizure Detection

Efficient and Robust Automated Machine Learning

2 code implementations NeurIPS 2015 Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum, Frank Hutter

The success of machine learning in a broad range of applications has led to an ever-growing demand for machine learning systems that can be used off the shelf by non-experts.

Bayesian Optimization BIG-bench Machine Learning +1

GOTCHA Password Hackers!

no code implementations4 Oct 2013 Jeremiah Blocki, Manuel Blum, Anupam Datta

(2) The puzzles are hard for a computer to solve even if it has the random bits used by the computer to generate the final puzzle --- unlike a CAPTCHA.

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