“Testing and control sit at the center of how complex hardware is developed and deployed, but the tools supporting that work haven’t kept pace with system complexity,” said Revel founder and CEO Scott ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
The FDA approved Cleveland Diagnostics' blood-based test to help diagnose high-grade prostate tumors and aid in biopsy decisions, the company announced. Dubbed IsoPSA, the in vitro diagnostic kit is ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...
Abstract: This paper investigates the identification and resolution of social dilemmas in multi-agent reinforcement learning. The model of multi-agent environment was developed to simulate agent ...
Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...
ByteDance launches Seedance 2.0 AI video model, intensifying competition with OpenAI and expanding its multimodal AI strategy ...
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...
Atelier: An Automated Analog Circuit Design Framework via Multiple Large Language Model-Based Agents
Abstract: This article introduces Atelier, a large language model (LLM)-based framework for analog circuit design to address the issues of data scarcity and the substantial domain-specific knowledge ...
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