Seriously, ThinkAlgorihms, About
disagreements about what counts as an algorithm are likely. Rather than trying to agree on a common definition of "algorithm" or a particular universal auditing technique, we suggest evaluating automated systems primarily based on their impact. By focusing on outcome rather than input, we avoid ...
Twofish is the successor of Blowfish. The key length used for this algorithm can be up to 256 bits and only one key can suffice as a symmetrical technique. Twofish is one of the fastest of its kind that is suitable for both software and hardware environments. Like Blowfish, Twofish is ...
Generative design is an advanced, algorithm-driven process, sometimes enabled by AI, used to explore a wide array of design possibilities that meet predefined criteria set by engineers or designers. LuxMea Studio explores the boundaries of design and fabrication at the Autodesk Technology Centre in...
Machine learningis a critical technique that enables AI to solve problems. Despite common misperceptions (and misnomers in popular culture), machines do not learn. They store and compute — admittedly in increasingly complex ways. Machine learning solves business problems by using statistical models to...
Machine Learning is an AI technique that teaches computers to learn from experience. Videos and code examples get you started with machine learning algorithms.
After initial training, generative AI models can be fine-tuned via a supervised learning technique, such as reinforcement learning from human feedback (RLHF). In RLHF, the model’s output is given to human reviewers who make a binary positive or negative assessment—thumbs up or down—which ...
Photogrammetry is the process of taking reliable measurements from photographs. It has been with us in some form for centuries and has helped shape our understanding of things like the Earth’s surface. Today, it plays a vital role in many industries. So
Black field signals and the three-level technique are used for precise clock synchronization to implement frame alignment and ensure image stability and lip synchronization. Clock synchronization of the entire TV station system is critical in the IP-based production and broadcasting network, wh...
An autoencoder is a neural network trained to efficiently compress input data down to essential features and reconstruct it from the compressed representation.