Streamline Control Collaborates with Snowflake to Accelerate AI-Driven Energy Operations

Streamline Control and Snowflake deliver a unified data foundation that helps energy organizations modernize faster and ...

PSCI Addresses Challenges In Identifying Qualified AI Talent

Wilmington, Delaware - February 03, 2026 - PRESSADVANTAGE - As organizations across industries expand their use of AI, ...

Glass Imaging Announces Availability of GlassAI™ RAW Video Neural ISP Pipeline on Qualcomm Chipsets

GlassAI Enables Real-Time RAW Video Processing on Snapdragon® 8 Elite (Gen 5) Platforms The Snapdragon 8 Elite (Gen 5) ...

Speechify's AI Voice Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI

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 ...
Science News

Machine learning streamlines the complexities of making better proteins

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

Automating knowledge production and teaching weakens the ecosystem of students and scholars that sustains universities, ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
marktechpost

An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and XGBoost for Automated Data Science Workflows

In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...
Rigzone

How does machine learning optimize pipeline inspections?

At-a-Glance: Machine learning streamlines pipeline inspections by automating signal interpretation, predicting defect growth, and prioritizing digs—cutting cycle time, false alarms, and OPEX while ...