Search results
Results from the Tech24 Deals Content Network
Code generation (compiler) In computing, code generation is part of the process chain of a compiler and converts intermediate representation of source code into a form (e.g., machine code) that can be readily executed by the target system. Sophisticated compilers typically perform multiple passes over various intermediate forms.
Convolutional code with any code rate can be designed based on polynomial selection; however, in practice, a puncturing procedure is often used to achieve the required code rate. Puncturing is a technique used to make a m/n rate code from a "basic" low-rate (e.g., 1/n) code. It is achieved by deleting of some bits in the encoder output.
Reed–Muller codes are linear block codes that are locally testable, locally decodable, and list decodable. These properties make them particularly useful in the design of probabilistically checkable proofs . Traditional Reed–Muller codes are binary codes, which means that messages and codewords are binary strings.
Zurich-based DeepCode claims that their system — essentially a tool for analyzing and improving code — is like Grammarly for programmers. The system, which uses a corpus of 250,000 rules ...
Markiplier (real name: Mark Fischbach) hosts “Distractible” with two of his longtime friends: Wade Barnes (whom “I think I’ve known since the sixth grade,” Fischbach says) and Bob ...
Industry leader OpenAI is trying to get ahead of the problem by creating a toolset that detects images created by its own DALL-E 3 generator. The results are a mixed bag. OpenAI. The company says ...
A linear code of length n and dimension k is a linear subspace C with dimension k of the vector space where is the finite field with q elements. Such a code is called a q -ary code. If q = 2 or q = 3, the code is described as a binary code, or a ternary code respectively. The vectors in C are called codewords.
It has learned to code (and blog and argue). Cade Metz, The New York Times OpenAI’s GPT-3 natural language system was trained on digital books, Wikipedia, blog posts, social media entries and more.