From User Stories To Code: Using AI To Transform The Entire Software Development Lifecycle

Organizations that treat AI adoption as both a technical evolution and a cultural transformation see the most lasting impact.
IEN.eu

From Code to Context: How Spatial AI is Powering the Next Leap in Manufacturing

The goal is to leverage the precision and tireless nature of automation while keeping human ingenuity, judgment, and ...
Computer Weekly

How low code can give agentic AI guide rails for the enterprise

Low code is far from new and has struggled to gain widespread enterprise popularity. Yet the arrival and adoption of ...

Chemify Raises More Than $50 Million in Oversubscribed Series B to Drive Global Expansion of Digital Chemistry and Discovery

Chemify Raises More Than $50 Million in Oversubscribed Series B to Drive Global Expansion of Digital Chemistry and Discovery ...
IEEE

An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far are We?

Abstract: Artificial Intelligence (AI) techniques, especially Large Language Models (LLMs), have started gaining popularity among researchers and software developers for generating source code.
ketk

Beyond the Headlines: How one East Texas detective uses AI to generate new leads in 1999 cold case

HENDERSON, Texas (KETK)– Twenty-six years ago, in Henderson, a 13-year-old girl disappeared, shaking the East Texas community. Now, in 2025, one detective is working diligently to give them answers.
Reuters

Salesforce deepens AI ties with OpenAI, Anthropic to power Agentforce platform

Oct 14 (Reuters) - Salesforce (CRM.N), opens new tab expanded partnerships with OpenAI and Anthropic to integrate their frontier AI models into its Agentforce 360 platform, aiming to deliver ...
Frontiers

HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers

1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...
IEEE

MMFmiRLocEL: A Multi-Model Fusion and Ensemble Learning Approach for Identifying miRNA Subcellular Localization Using RNA Structure Language Model

Abstract: MiRNA subcellular localizations (MSLs) are essential for uncovering and understanding miRNA functions in various biological processes. Several computational methods have been proposed for ...