Despite consistent improvements in glycemic outcomes across simulations, real-world adoption is lagging. The study finds that ...

New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.

Reports Q4 revenue $160.4M, consensus $155.7M. “Fiscal 2025 was a milestone year for Braze (BRZE) that reinforced our position as the leading ...

Q4 2025 Earnings Call Transcript March 27, 2025 Braze, Inc. beats earnings expectations. Reported EPS is $0.12, expectations ...

Q4 2024 Results Conference Call March 25, 2025 8:00 AM ETCompany ParticipantsGeorge Shao - Head of Capital Markets & ...

Braze (Nasdaq: BRZE) the leading customer engagement platform that empowers brands to Be Absolutely Engaging™, today ...

Braze furthers agentic AI innovation with acquisition of a leading AI decisioning company NEW YORK--(BUSINESS WIRE)--Braze (Nasdaq: BRZE), the leading customer engagement platform that empowers brands ...

A reinforcement learning project for centralized scheduling in communication networks. Implements classical dynamic programming (Value Iteration, Policy Iteration) and modern RL methods (Q-Learning, ...

In the Markov decision framework, a single-task multi-decision evolutionary game model based on multi-agent reinforcement learning is proposed ... Secondly, the Q-learning algorithm is used to improve ...

(RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with labeled data, RL involves ...

Separately, Databricks said it has found a new fine-tuning method that leverages Test-time Adaptive Optimization, a type of ...