Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Analytics Insight

SLMs vs. LLMs: Which Model Works Better for Supply Chain Intelligence?

Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, routing, and documentation, sma ...

Excel on Autopilot : Endex Cleans Sheets, Pulls from PDFs, Builds Complete DCF Models

With Endex, you can build a full DCF in Excel, including history, projections, and valuation outputs, producing audit ready ...
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 ...
Analytics Insight

Edge vs Cloud: The Defining Big Data Power Struggle of 2026

The global data ecosystem has now entered a decisive phase as organisations rethink how information is processed, stored, and ...
Quanta Magazine

Distinct AI Models Seem To Converge On How They Encode Reality

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

Debt vs growth: What investors must check before buying stocks

Debt decides survival when cycles turn. From TCS’s near-zero leverage to Tata Motors’ stress phase, NIFTY 100 data shows why ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...