A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

Explaining the principles of algorithms used in arithmetic operations on digital computers, this book covers basic as well as complex operations and describes the similarities between different ...

The team at BitEnergyAI claims that not only does their method save energy, it works faster while maintaining the same ...

Speaker: Lots of things come in multiples. You can look at multiplication as repeated addition. For example, these cans are in 5 rows of 3. Which you could think of as 5 times 3, or 3 + 3 + 3 + 3 ...

Booth’s algorithm is more efficient ... so they represent multiply by zero in the long multiplication. You can cross them out. That leaves the row for 17 and 1. Adding those up, you get 5457 ...

The expectation maximization algorithm enables parameter estimation in probabilistic models with incomplete data. In summary, the expectation maximization algorithm alternates between the steps of ...

Huge savings are possible simply by changing the maths of tensor computation, says BitEnergy AI’s Hongyin Luo.

Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find ...

When good mathematicians are stuck on a problem, they see if they can simplify it. In long multiplication we break the sum down into parts that we can easily answer and then add the parts together ...

Engineers from BitEnergy AI, a firm specializing in AI inference technology, has developed a means of artificial intelligence ...

Thousands of students in England are angry about the controversial use of an algorithm to determine this year's GCSE and A-level results. They were unable to sit exams because of lockdown ...