Newcastle Disease Virus (NDV), classified as Avian orthoavulavirus 1 (avian paramyxovirus type 1), is a promising oncolytic agent that selectively targets and destroys cancer cells while sparing normal tissues. Its oncoselectivity exploits cancer-spe...
Automatic Speech Recognition (ASR) systems struggle with regional dialects due to biased training which favours mainstream varieties. While previous research has identified racial, age, and gender biases in ASR, regional bias remains underexamined. T...
PROJECT RED DOWN My name is Lars, not my real name, I am a software engineer specializing in air navigation systems. I am originally German, I have worked for both civil and military agencies...
Bjarke Ingels can sometimes sound like a mad scientist. “One thing I’ve learned a lot about over the past year is stone flour,” the 46-year-old Danish architect says over Zoom from his couch in Copenhagen. A mischievous smile spreads over Ingels’ tanned, boyis…
We present a distributed average consensus protocol that preserves the privacy of agents' inputs. Unlike the differential privacy mechanisms, the presented protocol does not affect the accuracy of the output. It is shown that the protocol preserves t...
In the context of addressing the Robot Air Hockey Challenge 2023, we investigate the applicability of model-based deep reinforcement learning to acquire a policy capable of autonomously playing air hockey. Our agents learn solely from sparse rewards...
Learn about the United States, including American history, the president, holidays, the American flag, census data, and more. Get contact information for U.S. federal government agencies, departments, …
Intelligent agents are often faced with the problem of trying to merge possibly conflicting pieces of information obtained from different sources into a consistent view of the world. We propose a framework for the modelling of such merging operatio...
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Many machine learning systems are built to solve the hardest examples of a particular task, which often makes them large and expensive to run---especially with respect to the easier examples, which might require much less computation. For an agent wi...
created by Anthropic. MCP allows AI models to securely access and interact with external data, tools, and systems. This enables FuseBase AI Agents to
The Model Context Protocol (MCP) has emerged as a universal standard that enables AI agents to seamlessly connect with external tools, significantly enhancing their functionality. However, while MCP brings notable benefits, it also introduces signifi...
Bioinformatics tools are essential for complex computational biology tasks, yet their integration with emerging AI-agent frameworks is hindered by incompatible interfaces, heterogeneous input-output formats, and inconsistent parameter conventions. Th...
# * UPDATE: solved as of the latest Antigravity Version: 1.14.2 * **Bug description:** In Google Antigravity, there is a critical execution conflict between the Firebase MCP server and Anthropic C...
The Model Context Protocol (MCP) represents a significant advancement in AI-tool integration, enabling seamless communication between AI agents and external services. However, this connectivity introduces novel attack vectors that remain largely unex...
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions. (⭐ 375)
Model Context Protocol (MCP) has recently gained increased attention within the AI community for providing a standardized way for large language models (LLMs) to interact with external tools and services, significantly enhancing their capabilities. H...
likened to OpenAPI, a similar specification that aims to describe APIs. Agent2Agent – Open protocol for communication between AI agents AI governance – Guidelines
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