Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
XDA Developers on MSN

3 Python libraries that manage my computer for me better than I ever could

This Python library lets Python read system-level data like CPU usage, memory pressure, disk activity, battery drain, and ...

Elon Musk Says X Algorithm Will Go Open Source

Musk promises full access to X’s recommendation code and recurring updates as regulators intensify scrutiny over feeds and ...

Beyond Meat's Debt Reduction Bought Time, Not A Turnaround

Beyond Meat (BYND) gets a Sell rating as revenues slide, losses persist, and dilution hurts value despite debt cuts. Read ...
IEEE

Preference-Consistent Knowledge Distillation for Recommender System

Abstract: Feature-based knowledge distillation has been applied to compress modern recommendation models, usually with projectors that align student (small) recommendation models’ dimensions with ...
The Manila Times

Interview Kickstart's New Advanced Machine Learning and Agentic AI Program 2026 Helps Software Engineers Transition To Top ML and AI Roles

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

Hanchen Su Contributes to Advancing LLM-Friendly Knowledge Representation for Customer Support Automation

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

Fluence Energy: The Scalable Solution Powering AI-Driven Data Centers

Fluence Energy is rated BUY for high-risk-tolerant investors, driven by its leadership in Battery Energy Storage Systems and ...

Google’s Recommender System Breakthrough Detects Semantic Intent

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
IEEE

Conversational Recommender System Using a Combination of Fine-Tuned GPT-4o and Retrieval-Augmented Generation for Laptop Recommendations

Abstract: Conversational recommender systems (CRS) have revolutionized personalized recommendations in recommender systems by using interactive and adaptive decision-making, particularly in complex ...