Results for ""
The importance of data structures in the computer world
In the world of computers, data structures are essential. They are used to store data in a way that is efficient and easy to access. Without data structures, the computer world...Tech leaders vouch for upskilling, federated data structures and...
Back in 2006, it was mathematician Clive Humby who coined the now popular adage “data is the new oil”, several extrapolations were made. The most common one was to assume that...Understanding satisfiability modulo theories
Satisfiability Modulo Theories (SMT) refers to the difficulty of establishing whether a first-order formula is satisfiable about a particular logical theory.Do trains use AI? Where is it used in IRCTC?
In this section of "Ask INDIAai," you can ask questions and get answers.Exploring algorithmic information theory in AI
Algorithmic information theory was established by Ray Solomonoff, who invented algorithmic probability to solve Bayes' rule problems in statistics.Understanding Breadth-first search
Breadth-first search (BFS) searches tree data structures for nodes with a particular property.Understanding depth-first search
DFS is an algorithm that traverses or searches tree or graph data structures.Understanding best-first search
The best-first search works by using an evaluation function to determine which nearby is most promising and then exploring it.Researchers developed an AI tool for rapid and cost-effective...
Study conducted by researchers at Monash University.New datasets can help faster drug discovery
Molecules packed in a different arrangement, although having similar chemical compositions are called polymorphs. Researchers at GlaxoSmithKline (GSK) and the Cambridge...AI Model Developed by MIT Chemists Unlocks Structures of...
For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as metals, rocks, and ceramics.Research team develops AI to predict antibody drugs accurately
MIT researchers develop a new computational model that may be able to identify antibody drugs that can target a variety of infectious diseases.Scientists teach AI about frustration in protein folding
Their method improves AlphaFold2 (AF2), a tool for predicting static protein structures, by teaching it to focus on "energetic frustration."Advanced Dental Segmentation Using U-Net Neural Networks
This project leverages the U-Net neural network architecture to accurately segment key dental structures such as ToothThe top platforms for learning to code in 2022
Coding is a highly in-demand skill in today's technologically advanced world.AI draws a transformative map of human proteins
DeepMind, a subsidiary of Google-parent Alphabet, and the European Molecular Biology Laboratory (EMBL) has created the most exhaustive map of human proteins till date. The company...#WebinarWindUp: Neuromorphic systems enhancing environmental...
The next generation of AI is expected to enter new frontiers that are equivalent to several traits of human cognition such as interpretation and autonomous adaptationScientists discover dense rock structures near Earth’s core...
An international team of geophysicists used AI algorithm used in astrophysics to detect activities deep inside the EarthDoT’s AI Standardisation Committee releases Indian AI Stack...
The Department of Telecommunication (DoT)’s AI Standardisation Committee released its Indian AI Stack discussion paper,A new deep-learning system explores material interiors from the...
Researchers have developed a machine-learning technique that detects internal structures