#computational_complexity wyniki wyszukiwania

This is what ChatGPT thinks about using Turing machines to formulate the P vs NP problem #PvsNP #Turing #Computational_Complexity

M_Turkistany's tweet image. This is what ChatGPT thinks about using Turing machines to formulate the P vs NP problem
#PvsNP #Turing #Computational_Complexity

Turing machines and understanding computational complexity - by P.M.B. Vitanyi bit.ly/zAZT80 #Computational_complexity


NEW math on Futurama http://is.gd/eASsL #computational_complexity


Latest #Article by Florin Manea. "On Turing Machines Deciding According to the Shortest Computations". mdpi.com/2075-1680/10/4… More related papers are available at: mdpi.com/journal/axioms… #computational_complexity #Turing_machine

Axioms_MDPI's tweet image. Latest #Article by Florin Manea.

"On Turing Machines Deciding According to the Shortest Computations". mdpi.com/2075-1680/10/4…

More related papers are available at: mdpi.com/journal/axioms…

#computational_complexity #Turing_machine

A Solution of the P versus NP Problem arxiv.org/pdf/1708.03486… (Popularity:22.0) #Computational_Complexity


Markets are efficient if and only if P = NP arxiv.org/pdf/1002.2284.… (Popularity:36.0) #Computational_Complexity #General_Finance


Adversarial examples from computational constraints arxiv.org/pdf/1805.10204… (Popularity:24.0) #Computational_Complexity #Machine_Learning


Real-Time Computability of Real Numbers by Chemical Reaction arxiv.org/pdf/1803.10267… (Popularity:53.3) #Computational_Complexity #Emerging_Technologies


Adversarial examples from computational constraints arxiv.org/pdf/1805.10204… (Popularity:24.0) #Computational_Complexity #Machine_Learning


Computing Kernels in Parallel: Lower and Upper Bounds arxiv.org/pdf/1807.03604… (Popularity:51.9) #Computational_Complexity


A compressed classical description of quantum states arxiv.org/pdf/1801.05721… (Popularity:35.5) #Quantum_Physics #Computational_Complexity


Complexity-Theoretic Foundations of Quantum Supremacy Experi arxiv.org/pdf/1612.05903… (Popularity:42.0) #Computational_Complexity #Quantum_Physics


Static-Memory-Hard Functions and Nonlinear Space-Time Tradeo arxiv.org/pdf/1802.07433… (Popularity:35.0) #Cryptography_and_Security #Computational_Complexity


This is what ChatGPT thinks about using Turing machines to formulate the P vs NP problem #PvsNP #Turing #Computational_Complexity

M_Turkistany's tweet image. This is what ChatGPT thinks about using Turing machines to formulate the P vs NP problem
#PvsNP #Turing #Computational_Complexity

Latest #Article by Florin Manea. "On Turing Machines Deciding According to the Shortest Computations". mdpi.com/2075-1680/10/4… More related papers are available at: mdpi.com/journal/axioms… #computational_complexity #Turing_machine

Axioms_MDPI's tweet image. Latest #Article by Florin Manea.

"On Turing Machines Deciding According to the Shortest Computations". mdpi.com/2075-1680/10/4…

More related papers are available at: mdpi.com/journal/axioms…

#computational_complexity #Turing_machine

Markets are efficient if and only if P = NP arxiv.org/pdf/1002.2284.… (Popularity:34.1) #Computational_Complexity #General_Finance


Static-Memory-Hard Functions and Nonlinear Space-Time Tradeo arxiv.org/pdf/1802.07433… (Popularity:35.0) #Cryptography_and_Security #Computational_Complexity


Markets are efficient if and only if P = NP arxiv.org/pdf/1002.2284.… (Popularity:36.0) #Computational_Complexity #General_Finance


Why Philosophers Should Care About Computational Complexity arxiv.org/pdf/1108.1791.… (Popularity:12.0) #Computational_Complexity #Quantum_Physics


Complexity-Theoretic Foundations of Quantum Supremacy Experi arxiv.org/pdf/1612.05903… (Popularity:42.0) #Computational_Complexity #Quantum_Physics


Complexity-Theoretic Foundations of Quantum Supremacy Experi arxiv.org/pdf/1612.05903… (Popularity:42.0) #Computational_Complexity #Quantum_Physics


No occurrence obstructions in geometric complexity theory arxiv.org/pdf/1604.06431… (Popularity:31.9) #Computational_Complexity #Algebraic_Geometry #Representation_Theory


A compressed classical description of quantum states arxiv.org/pdf/1801.05721… (Popularity:35.5) #Quantum_Physics #Computational_Complexity


Adversarial examples from computational constraints arxiv.org/pdf/1805.10204… (Popularity:24.0) #Computational_Complexity #Machine_Learning


Adversarial examples from computational constraints arxiv.org/pdf/1805.10204… (Popularity:24.0) #Computational_Complexity #Machine_Learning


Computing Kernels in Parallel: Lower and Upper Bounds arxiv.org/pdf/1807.03604… (Popularity:51.9) #Computational_Complexity


Brak wyników dla „#computational_complexity”

A time-complexity cheat sheet of 10 ML algorithms: What's the inference time-complexity of KMeans?

_avichawla's tweet image. A time-complexity cheat sheet of 10 ML algorithms:

What's the inference time-complexity of KMeans?

"AI benchmarks need to use more serious examples" Challenge accepted. genai-showdown.specr.net/image-editing

AmplifyPartners's tweet image. "AI benchmarks need to use more serious examples"

Challenge accepted. 

genai-showdown.specr.net/image-editing

Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

thinkymachines's tweet image. Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

Complexity's core recipe: nonlinearity + time. High-D space is optional. When modeling high dimensions are not preferred because the noise threshold is often too low, burying the signal. I would prefer hunting for the emergent, low-D manifold where the "meaningful surprise" of…

CankayKoryak's tweet image. Complexity's core recipe: nonlinearity + time. High-D space is optional. When modeling high dimensions are not preferred because the noise threshold is often too low, burying the signal. I would prefer hunting for the emergent, low-D manifold where the "meaningful surprise" of…

Functional Intergrated Irreducible Complexity.

NotEvolution1's tweet image. Functional Intergrated Irreducible Complexity.

Computation turned reflective, measuring the cost of thought.

TimRussell's tweet image. Computation turned reflective, measuring the cost of thought.

Algorithm Upgrades: From Naive → Optimal

theskilledcoder's tweet image. Algorithm Upgrades:  From Naive → Optimal

Efficient client-side filtering, who needs React compiler. 👀

James_Marotta's tweet image. Efficient client-side filtering, who needs React compiler. 👀

A time-complexity cheat sheet of 10 ML algorithms:

DailyDoseOfDS_'s tweet image. A time-complexity cheat sheet of 10 ML algorithms:

“Complexity: A Guided Tour” (tap summary, hold, load in 4k)

MindBranches's tweet image. “Complexity: A Guided Tour”
(tap summary, hold, load in 4k)
MindBranches's tweet image. “Complexity: A Guided Tour”
(tap summary, hold, load in 4k)

Should be easy to just give it more compute to get better results

tom_doerr's tweet image. Should be easy to just give it more compute to get better results

Time Complexity of Machine Learning Algorithms:

hamptonism's tweet image. Time Complexity of Machine Learning Algorithms:

How a Kalman filter works, in pictures ow.ly/QNZXd via @mathupdate

CompSciFact's tweet image. How a Kalman filter works, in pictures ow.ly/QNZXd via @mathupdate

visual complex analysis by tristan needham PDF: umv.science.upjs.sk/hutnik/Needham…

Riazi_Cafe_en's tweet image. visual complex analysis 
by tristan needham

PDF: umv.science.upjs.sk/hutnik/Needham…

controversial opinion: mathematics isn’t inherently beautiful in its raw forum. what happens is the people who love it craft beautiful representations so that others can see it as they do.

kareem_carr's tweet image. controversial opinion: mathematics isn’t inherently beautiful in its raw forum. what happens is the people who love it craft beautiful representations so that others can see it as they do.

Computational Complexity: A Modern Approach by Sanjeev Arora and Boaz Barak PDF: theory.cs.princeton.edu/complexity/boo…

Riazi_Cafe_en's tweet image. Computational Complexity: A Modern Approach 
by Sanjeev Arora and Boaz Barak

PDF: theory.cs.princeton.edu/complexity/boo…

Am image I inadvertently think about more than I should, given the state of the algorithm

blue_bateman's tweet image. Am image I inadvertently think about more than I should, given the state of the algorithm

Finds duplicates and outliers in image datasets

tom_doerr's tweet image. Finds duplicates and outliers in image datasets

Photonic compute there are a near infinite number of dimensions folded into light from every perspective . The amount of data you can fit into an image is limited only to what meaning you give it .

ClonanBradley's tweet image. Photonic compute there are a near infinite number of dimensions folded into light from every perspective . The amount of data you can fit into an image is limited only to what meaning you give it .
ClonanBradley's tweet image. Photonic compute there are a near infinite number of dimensions folded into light from every perspective . The amount of data you can fit into an image is limited only to what meaning you give it .
ClonanBradley's tweet image. Photonic compute there are a near infinite number of dimensions folded into light from every perspective . The amount of data you can fit into an image is limited only to what meaning you give it .
ClonanBradley's tweet image. Photonic compute there are a near infinite number of dimensions folded into light from every perspective . The amount of data you can fit into an image is limited only to what meaning you give it .

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