Media Summary: Just how far can we go with processing speed? Physicist Professor Phil Moriarty talks about the hard The story of recursion continues as Professor Brailsford explains one of the most difficult programs to A web app that works out how many seconds ago something happened. How hard can coding that be? Tom Scott explains how ...

Computing Limit Computerphile - Detailed Analysis & Overview

Just how far can we go with processing speed? Physicist Professor Phil Moriarty talks about the hard The story of recursion continues as Professor Brailsford explains one of the most difficult programs to A web app that works out how many seconds ago something happened. How hard can coding that be? Tom Scott explains how ... Delving into the various timescales I hereby your How programmers found ways to push the hardware past its design Newcomb's Problem is a thought experiment which, on the surface, seems obvious, but what if you're trying it out on your identical ...

Gödel's Incompleteness Theorem explained with Pen, Paper & Lean (the proof assistant) Professor Thorsten Altenkirch is based ... Parting the veil of mystery on quantum superposition using waves. Professor Phil Moriarty takes us through it. Phil's blogpost on ... You can optimise for speed, power consumption or memory use & tiny changes can have a negligible or huge impact, but what ... If you're not the customer you are the product. Dr Max Wilson on the third party apps embedded in social media. EXTRA BITS: ... The number of virtual machines has swelled due to cloud 2GHz ≠ 2GHz - Well sometimes! Dr Steve Bagley on why the clock cycles of a CPU aren't enough to measure its speed.

They're called 'Finite State Automata" and occupy the centre of Chomsky's Hierarchy - Professor Brailsford explains the ultimate ... Part 1 of a Series on AI Safety Research with Rob Miles. Rob heads away from his 'Killer Stamp Collector' example to find a more ... "The Matrix" conjures visions of Keanu Reeves as Neo on the silver screen, but matrices have a very real use in manipulating 3D ... Peforming operations in parallel on big data. Rebecca Tickle explains MapReduce. Why can't floating point do money? It's a brilliant solution for speed of calculations in the

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Computing Limit - Computerphile
The Most Difficult Program to Compute? - Computerphile
The Problem with Time & Timezones - Computerphile
Computer Timescales Mapped onto Human Timescales - Computerphile
Pushing the Atari Limits - Computerphile
LLMs and Newcomb's Problem - Computerphile
Gödel's Incompleteness Theorem - Computerphile
Superposition in Quantum Computers - Computerphile
Optimising Code - Computerphile
Social Media Data - Computerphile
Virtual Machines Power the Cloud - Computerphile
Computer Speeds - Computerphile
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Computing Limit - Computerphile

Computing Limit - Computerphile

Just how far can we go with processing speed? Physicist Professor Phil Moriarty talks about the hard

The Most Difficult Program to Compute? - Computerphile

The Most Difficult Program to Compute? - Computerphile

The story of recursion continues as Professor Brailsford explains one of the most difficult programs to

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The Problem with Time & Timezones - Computerphile

The Problem with Time & Timezones - Computerphile

A web app that works out how many seconds ago something happened. How hard can coding that be? Tom Scott explains how ...

Computer Timescales Mapped onto Human Timescales - Computerphile

Computer Timescales Mapped onto Human Timescales - Computerphile

Delving into the various timescales I hereby your

Pushing the Atari Limits - Computerphile

Pushing the Atari Limits - Computerphile

How programmers found ways to push the hardware past its design

Sponsored
LLMs and Newcomb's Problem - Computerphile

LLMs and Newcomb's Problem - Computerphile

Newcomb's Problem is a thought experiment which, on the surface, seems obvious, but what if you're trying it out on your identical ...

Gödel's Incompleteness Theorem - Computerphile

Gödel's Incompleteness Theorem - Computerphile

Gödel's Incompleteness Theorem explained with Pen, Paper & Lean (the proof assistant) Professor Thorsten Altenkirch is based ...

Superposition in Quantum Computers - Computerphile

Superposition in Quantum Computers - Computerphile

Parting the veil of mystery on quantum superposition using waves. Professor Phil Moriarty takes us through it. Phil's blogpost on ...

Optimising Code - Computerphile

Optimising Code - Computerphile

You can optimise for speed, power consumption or memory use & tiny changes can have a negligible or huge impact, but what ...

Social Media Data - Computerphile

Social Media Data - Computerphile

If you're not the customer you are the product. Dr Max Wilson on the third party apps embedded in social media. EXTRA BITS: ...

Virtual Machines Power the Cloud - Computerphile

Virtual Machines Power the Cloud - Computerphile

The number of virtual machines has swelled due to cloud

Computer Speeds - Computerphile

Computer Speeds - Computerphile

2GHz ≠ 2GHz - Well sometimes! Dr Steve Bagley on why the clock cycles of a CPU aren't enough to measure its speed.

Computers Without Memory - Computerphile

Computers Without Memory - Computerphile

They're called 'Finite State Automata" and occupy the centre of Chomsky's Hierarchy - Professor Brailsford explains the ultimate ...

General AI Won't Want You To Fix its Code - Computerphile

General AI Won't Want You To Fix its Code - Computerphile

Part 1 of a Series on AI Safety Research with Rob Miles. Rob heads away from his 'Killer Stamp Collector' example to find a more ...

The True Power of the Matrix (Transformations in Graphics) - Computerphile

The True Power of the Matrix (Transformations in Graphics) - Computerphile

"The Matrix" conjures visions of Keanu Reeves as Neo on the silver screen, but matrices have a very real use in manipulating 3D ...

Square & Multiply Algorithm - Computerphile

Square & Multiply Algorithm - Computerphile

How do you

The Interlaced Video Problem - Computerphile

The Interlaced Video Problem - Computerphile

Why do

MapReduce - Computerphile

MapReduce - Computerphile

Peforming operations in parallel on big data. Rebecca Tickle explains MapReduce. https://www.facebook.com/

Floating Point Numbers - Computerphile

Floating Point Numbers - Computerphile

Why can't floating point do money? It's a brilliant solution for speed of calculations in the

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