Our group has been actively pursuing inter-disciplinary research across several areas, including: Uncertainty quantification and reliability analysis of complex systems using multi-fidelity and ...

Computational Data-Driven Modeling (CDM) I is the first in a sequence of two courses designed to introduce the student to basics skills in exploratory data analysis and data-driven computational ...

Computational Data-Driven Modeling (CDM) II is the second in a sequence of two courses designed to introduce the student to skills in exploratory data analysis and data-driven computational modeling.

Explore GROK 3’s groundbreaking AI capabilities, including Deep Search and Think, and its potential to transform industries ...

As we transition to an AI-first world, the SaaS paradigm will inevitably evolve as it tries to parry the attacks of AI.

Traditionally, this process relied heavily on human-driven statistical methods, data cleaning and manual modeling. However, the advent of AI, more specifically machine learning (ML) and deep ...

Understanding Neuro-Symbolic Integration Neuro-symbolic AI combines two fundamental paradigms in artificial intelligence: ...

Key Benefits of the AtScale and Snowflake Cortex Analyst Integration Include: Increased Query Accuracy: AtScale’s semantic models and semantic engine infuse AI-generated queries with business logic, ...

given its fabless model relies on external partners like TSMC for production continuity. During the third quarter, Cirrus Logic's financial outcomes were buoyed by an impressive demand for its ...

Fangzhou Inc. (06086.HK) is China's leading online chronic disease management platform, serving 45.6 million registered users and 217,000 doctors (as of June 30, 2024 ). The Company provides tailored ...

Through this partnership, Paras Defence will be able to leverage Logic Fruit's expertise in high-speed data processing, AI-driven embedded solutions, and real-time computing architectures to ...

Her research involves estimating the probability of failure for the forebody heatshield, specifically focusing on bondline temperature under high-dimensional conditions with epistemic uncertainty ...