Artificial Intelligence (AI)
Pushing the frontiers of audio generation
Technologies Published 30 October 2024 Authors Zalán Borsos, Matt Sharifi and Marco Tagliasacchi Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools. Speech is central to human connection. It helps people around the world exchange information and ideas, express emotions and…
MIT engineers grow “high-rise” 3D chips
The electronics industry is approaching a limit to the number of transistors that can be packed onto the surface of a computer chip. So, chip manufacturers are looking to build up rather than out. Instead of squeezing ever-smaller transistors onto a single surface, the industry is aiming to stack multiple surfaces of transistors and semiconducting…
TinyAgent: Function Calling at the Edge
The ability of LLMs to execute commands through plain language (e.g. English) has enabled agentic systems that can complete a user query by orchestrating the right set of tools (e.g. ToolFormer, Gorilla). This, along with the recent multi-modal efforts such as the GPT-4o or Gemini-1.5 model, has expanded the realm of possibilities with AI agents….
Camel-AI Open Sourced OASIS: A Next Generation Simulator for Realistic Social Media Dynamics with One Million Agents
Social media platforms have revolutionized human interaction, creating dynamic environments where millions of users exchange information, form communities, and influence one another. These platforms, including X and Reddit, are not just tools for communication but have become critical ecosystems for understanding modern societal behaviors. Simulating such intricate interactions is vital for studying misinformation, group polarization,…
Master API Testing: The Ultimate Guide to Integration & Performance
In today’s digital landscape, APIs (Application Programming Interfaces) play a crucial role in connecting systems, applications, and services. With the growing reliance on APIs, ensuring their reliability, security, and performance through rigorous testing is essential. This guide explores the core components of an effective API testing methodology, covering different testing types, best practices, and tips…
How is China doing in the AI race? Tech giants and startups are pushing boundaries | DailyAI
Alibaba Cloud recently released over 100 new open-source models in its Qwen 2.5 family. These models range in size from 0.5 to 72 billion parameters and handle tasks from coding to math in 29 different languages. The company’s Tongyi model, available through the Model Studio platform, has seen its user base jump from 90,000 to…
Why AI Needs Large Numerical Models (LNMs) for Mathematical Mastery • AI Blog
The availability and structure of mathematical training data, combined with the unique characteristics of mathematics itself, suggest that training a Large Numerical Model (LNM) is feasible and may require less data than training a general-purpose LLM. Here’s a detailed look: Availability of Mathematical Training Data Structure of Mathematics and Data Efficiency Mathematics’ highly structured nature…
Understanding Shadow AI and Its Impact on Your Business
The market is booming with innovation and new AI projects. It’s no surprise that businesses are rushing to use AI to stay ahead in the current fast-paced economy. However, this rapid AI adoption also presents a hidden challenge: the emergence of ‘Shadow AI.’ Here’s what AI is doing in day-to-day life: Saving time by automating…
GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy
Technologies Published 4 December 2024 Authors Ilan Price and Matthew Willson New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead Weather impacts all of us — shaping our decisions, our safety, and our way of life. As climate change drives more extreme weather…
Need a research hypothesis? Ask AI.
Crafting a unique and promising research hypothesis is a fundamental skill for any scientist. It can also be time consuming: New PhD candidates might spend the first year of their program trying to decide exactly what to explore in their experiments. What if artificial intelligence could help? MIT researchers have created a way to autonomously…