Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF

Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively announced to us at VentureBeat its emergence with an $8.5 million seed ...

Why T-shaped knowledge is becoming more important than ever in the age of AI

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your career long-term.
Beef Central

Artificial intelligence could play role in abattoirs to improve welfare outcomes

A webinar hosted today by the RSPCA looked into the potential to use artificial intelligence in the abattoir environment to ...

MicroCloud Hologram Inc. Quantum Intelligent Interconnected Fault-Tolerant Consensus Algorithm Achieves Collaborative Control of Financial Internet Nodes

MicroCloud Hologram Inc. (NASDAQ: HOLO), (HOLO or the Company), a technology service provider, proposed a quantum intelligent interconnected fault-tolerant consensus algorithm that deeply integrates q ...

Inside Google's AI plan to end Android developer toil - and speed up innovation

I spoke with Sam Bright, VP and GM of Google Play and Developer Ecosystem, about Gemini's expansion in Android Studio. The real story is the way AI cuts toil across the lifecycle.
Chromatography Online

AI/ML in Practice: Emery Bosten Explores Assisted Active Learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
qualitysafety.bmj

Re-establishing control limits in statistical process control analyses: the stable shift algorithm

Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...
IEEE

A New Paradigm for Scientific Computing: Accelerated Algorithm Development With Large Reasoning Models

Abstract: This study examines the application of Large Reasoning Model (LRM)-based artificial intelligence (AI) agents to accelerate scientific discovery, with a specific focus on the rapid ...
Frontiers

Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography

Introduction: Cardiotocography (CTG) assesses fetal well-being through measurements of fetal heart rate (FHR) and uterine activity (UA). Manual visual assessment of fetal tracings is variable due to ...
ahajournals.org

The Promise and Peril of Learning Algorithms and Predictive Models in Clinical Decision Support: Be Careful What You Train For

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and ...