createLiveAI

📄 AI News

Nov 18, 2025

Franklin Templeton & Wand AI bring agentic AI to asset management

Franklin Templeton has partnered with Wand AI to deploy agentic AI technologies at scale across its global investment platform, aiming to enhance decision-making and operational efficiency. Utilizing Wands Autonomous Workforce and Agent Management tools, the firm has transitioned from pilot programs to fully operational AI systems, initially focusing on high-value applications within investment teams. Looking ahead to 2026, Franklin Templeton plans to expand the deployment of intelligent agents across multiple departments, driving digital transformation and further optimizing investment research through autonomous, data-driven processes.

Autonomous Systems

VentureBeat AI

📈 VentureBeat AI

Nov 18, 2025

How AI tax startup Blue J torched its entire business model for ChatGPTand became a $300 million company

In 2022, legal tech startup Blue J pivoted from its traditional predictive models to leverage large language models (LLMs), recognizing their potential despite initial errors, which significantly transformed its business. This strategic shift, driven by CEO David Alarie, enabled Blue J to secure a $300 million valuation after a Series D funding round co-led by HC/FT and Ventures, and resulted in a twelvefold revenue increase, expanding its client base to over 3,500 organizations including Fortune 500 companies and global accounting firms. The adoption of LLMs has allowed Blue J to drastically reduce the time

GPT Claude +2

📄 Towards Data Science

Nov 18, 2025

How Deep Feature Embeddings and Euclidean Similarity Power Automatic Plant Leaf Recognition

Automatic plant leaf detection leverages advanced computer vision and deep learning techniques to identify plant species from leaf photographs. By extracting meaningful features and converting them into numerical embeddings, this approach enables accurate classification based on Euclidean similarity measures, enhancing the precision and efficiency of botanical identification. This innovation holds significant potential for applications in agriculture, biodiversity monitoring, and environmental research by automating and streamlining plant recognition processes.

Machine Learning Deep Learning +1

📄 Towards Data Science

Nov 18, 2025

Introducing Googles File SearchTool

Google has introduced a new file search tool that advances beyond traditional Retrieval-Augmented Generation (RAG) processing methods. This innovation aims to enhance search efficiency and accuracy by integrating more sophisticated data retrieval techniques, signaling a significant step forward in Google's information retrieval capabilities.

Google AI

AI News

Technology

📄 AI News

Nov 18, 2025

SC25 showcases the next phase of Dell and NVIDIAs AI partnership

At SC25, Dell Technologies and NVIDIA unveiled enhancements to their joint AI platform, the Dell AI Factory with NVIDIA, designed to support a broader spectrum of AI workloadsfrom legacy models to advanced agent-based systemsby simplifying deployment and management across diverse hardware and software environments. This integrated platform leverages Dells comprehensive infrastructure solutions alongside NVIDIAs AI tools, supported by professional services, to facilitate seamless transition from AI concepts to operational results while mitigating technical complexity. Key technical advancements include the integration of Dells storage engines, ObjectScale and PowerScale, with NVIDIAs NIXL library from NVIDIA Dynamo, enabling scalable

NVIDIA

VentureBeat AI

Technology

📈 VentureBeat AI

Nov 18, 2025

Google Antigravity introduces agent-first architecture for asynchronous, verifiable coding workflows

Google has introduced Antigravity, a new agent-centric coding platform designed to facilitate collaborative development of autonomous agents capable of executing complex tasks. Powered by advanced models such as Gemini 3, Sonnet 4.5, and open-source GPT-OSS, Antigravity aims to transform integrated development environments (IDEs) into an agent-first ecosystem, incorporating features like browser control, asynchronous interactions, and cross-platform compatibility across macOS, Linux, and Windows. Currently available in public preview with generous rate limits on Gemini 3 Pro usage, Antigravity enables developers to build and deploy intelligent agents that

GPT Claude +2

📄 Towards Data Science

Nov 17, 2025

Understanding Convolutional Neural Networks (CNNs) Through Excel

A novel approach demonstrates how to construct a simplified Convolutional Neural Network (CNN) within Microsoft Excel, enabling a transparent view of the learning process typically regarded as a "black box." By translating core CNN operationssuch as convolution, pattern detection, and feature extractioninto Excel formulas and calculations, this method allows users to observe each step of how images are analyzed and patterns are recognized, fostering a deeper understanding of deep learning fundamentals. This innovative technique leverages Excel's computational capabilities to demystify complex neural network processes, making the mechanics of shape and pattern detection accessible to a broader audience. It

Microsoft Deep Learning

📄 Towards Data Science

Nov 17, 2025

Javascript Fatigue: HTMX Is All You Need to Build ChatGPT Part 2

The article discusses leveraging HTMX, a lightweight JavaScript library, to enhance web interactivity without traditional JavaScript coding, exemplified through building a simple chatbot that simulates responses from a large language model (LLM). In the second part of the series, the focus shifts to extending the chatbot's functionality by adding new features, demonstrating how HTMX can streamline the development of dynamic, interactive AI-powered web applications. This approach highlights a shift towards more declarative web development techniques that simplify integrating AI capabilities into user interfaces without extensive JavaScript, potentially reducing complexity and improving maintainability.

GPT

AI News

📄 AI News

Nov 17, 2025

Quantitative finance experts believe graduates ill-equipped for AI future

A recent survey by the CQF Institute highlights a significant skills gap in the quantitative finance industry, with fewer than 10% of professionals believing that new graduates possess adequate AI and machine learning expertise to succeed. Despite this deficiency, AI adoption is rapidly increasing, with 83% of respondents actively using or developing AI tools such as ChatGPT, Microsoft/GitHub Copilot, and Google's Bard, often on a daily basis, for tasks including coding, market analysis, and report generation. The survey underscores the critical importance of AI and machine learning in areas like research, alpha generation, algorithmic trading,

GPT Google AI +2

📄 Towards Data Science

Nov 17, 2025

Javascript Fatigue: HTMX Is All You Need to Build ChatGPT Part 1

A recent development demonstrates that it is possible to build a functional chatbot similar to ChatGPT using primarily Python and HTML, significantly reducing reliance on JavaScript. The approach leverages HTMX, a lightweight library that enables dynamic web interactions with minimal client-side scripting, streamlining the development process and enhancing accessibility for developers with limited JavaScript expertise. This innovation highlights a shift toward simpler, more maintainable web applications for AI-powered chatbots, emphasizing the potential of HTMX to facilitate server-driven interactivity without complex frontend frameworks.

GPT

📄 Towards Data Science

Nov 16, 2025

I Built an IOS App in 3 Days with Literally No Prior Swift Knowledge

A recent development highlights how AI tools and "vibe coding" techniques enable individuals with minimal programming experience to rapidly develop applications, exemplified by building an iOS app in just three days without prior Swift knowledge. This approach leverages AI-assisted coding platforms and intuitive development workflows, lowering barriers for solopreneurs and democratizing app creation by streamlining technical complexity and accelerating time-to-market.