Artificial Intelligence (AI)
Top 20 Voice AI Blogs and News Websites 2025: The Ultimate Resource Guide
Voice AI technology has experienced unprecedented growth in 2025, with revolutionary breakthroughs in real-time conversational AI, emotional intelligence, and voice synthesis. As enterprises increasingly adopt voice agents and consumers embrace next-generation AI assistants, staying informed about the latest developments has become crucial for professionals across industries. The global Voice AI market has reached $5.4 billion…
MIT researchers develop AI tool to improve flu vaccine strain selection
Every year, global health experts are faced with a high-stakes decision: Which influenza strains should go into the next seasonal vaccine? The choice must be made months in advance, long before flu season even begins, and it can often feel like a race against the clock. If the selected strains match those that circulate, the…
Australia’s Large Language Model Landscape: Technical Assessment
Key Points No flagship, globally competitive, locally developed LLM (such as GPT-4, Claude 3.5, LLaMA 3.1) has yet emerged from Australia. Australian research and commerce currently rely primarily on international LLMs, which are frequently used but have measurable limitations on Australian English and cultural context. Kangaroo LLM is the only major open-source, locally developed LLM…
Simpler models can outperform deep learning at climate prediction
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their…
A Coding Implementation of an Advanced Tool-Using AI Agent with Semantic Kernel and Gemini
In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as tools, like web search, math evaluation, file I/O, and note-taking, and then let Gemini orchestrate them through structured JSON outputs. We…
New technologies tackle brain health assessment for the military
Cognitive readiness denotes a person’s ability to respond and adapt to the changes around them. This includes functions like keeping balance after tripping, or making the right decision in a challenging situation based on knowledge and past experiences. For military service members, cognitive readiness is crucial for their health and safety, as well as mission…
SEA-LION v4: Multimodal Language Modeling for Southeast Asia
AI Singapore (AISG) has released SEA-LION v4, an open-source multimodal language model developed in collaboration with Google and based on the Gemma 3 (27B) architecture. The model is designed to support Southeast Asian languages, including those with limited digital resources, and provides both text and image understanding capabilities. SEA-LION v4 uses a commercially permissive license…
Build vs Buy for Enterprise AI (2025): A U.S. Market Decision Framework for VPs of AI Product
Enterprise AI in the U.S. has left the experimentation phase. CFOs expect clear ROI, boards expect evidence of risk oversight, and regulators expect controls consistent with existing risk management obligations. Against this backdrop, every VP of AI faces the enduring question: Should we build this capability in-house, buy it from a vendor, or blend the…
What is a Database? Modern Database Types, Examples, and Applications (2025)
In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is crucial for selecting the right system for specific needs, whether you’re building a personal project or architecting enterprise-level solutions. What is a Database? A database is a structured collection of…
Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide
No single solution universally wins between Large Language Models (LLMs, ≥30B parameters, often via APIs) and Small Language Models (SLMs, ~1–15B, typically open-weights or proprietary specialist models). For banks, insurers, and asset managers in 2025, your selection should be governed by regulatory risk, data sensitivity, latency and cost requirements, and the complexity of the use…