MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Technical View: Long-term trend remains positive; Nifty may consolidate if trendline support breaks, rising VIX signals caution

The weekly options data suggested that Nifty may face resistance in the 26,400–26,500 zone, while support is placed at 26,200 ...
Study Finds

Viral Protein Found In Cancer, Lupus, ALS Traced To Infection From Millions Of Years Ago

Researchers reveal structure of ancient viral protein appearing in breast cancer, lupus, and ALS, opening new paths for ...
IEEE

Multimodal Strain Sensing System for Shape Recognition of Tensegrity Structures by Combining Traditional Regression and Deep Learning Approaches

Abstract: A tensegrity-based system is a promising approach for dynamic exploration of uneven, unpredictable, and confined environments. However, implementing such systems presents challenges in state ...
IEEE

Efficient Data Structures and Algorithms for Cloud Computing Platforms

Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...