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 ...
IEEE

Deep-Detector: Deepfake Voice Recognition using Machine Learning

Abstract: Advancements in machine learning (ML) and artificial intelligence (AI) have paved the way for the deepfake spectrum to expand in the tech space. The growing demand for generative AI has ...
IEEE

Multi-machine Adaptive Freezing algorithm for Enhanced Pipeline Parallelism Training in 6G Networks

Abstract: As the scale of deep learning models continues to expand, computational cost has become a major challenge. Model parallelism techniques, especially pipeline parallelism, have been shown to ...