Understanding Normalized Earnings: Core Concepts and Key Examples

Normalized earnings remove one-time events and seasonal shifts, offering a clear view of a company's genuine financial status ...

Why historical VaR is wrong by design

This article argues that the recalibration response, while understandable, addresses the wrong problem. The reason tail risk ...
Electronics360

One module, two data center problems solved

Looking to capitalize on the shift to vertical power delivery (VPD) to solve power distribution losses and thermal challenges in data centers, Lotus Microsystems has launched what it claims is the ...
Fierce Pharma

Medline earns FDA warning letter ire for repeated toxic bacteria problems

Medical device distribution giant Medline was slammed for a second time since April by an FDA warning letter that chided the ...
Investopedia

What Is Six Sigma? Concept, Steps, Examples, and Certification

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

First round of water samples tests negative for E. coli, Elkins mayor says

The Mayor of Elkins provided a June 3 update regarding the emergency boil order issued after E. coli was detected in a water ...

The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most ...
IEEE

Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection

Abstract: Vision-language models (VLMs), such as CLIP, have shown remarkable capabilities in downstream tasks. However, the coupling of semantic information between the foreground and the background ...
Crypto Briefing

Google DeepMind’s AlphaProof Nexus solves 9 Erdős problems and proves 44 sequence conjectures

A machine just solved math problems that stumped humans for decades. Google DeepMind’s AlphaProof Nexus, a system that fuses large language models with the Lean formal proof assistant, has ...
IEEE

A Comparative Study of Reinforcement Learning Algorithms for Distribution Network Reconfiguration With Deep Q-Learning-Based Action Sampling

Abstract: Distribution network reconfiguration (DNR) is one of the most important methods to cope with the increasing electricity demand due to the massive integration of electric vehicles. Most ...
crypto

CoinList’s Passage targets tokenization’s distribution problem

CoinList’s Passage pitches itself as an “access layer” for on‑chain capital markets, wiring compliant distribution, allocation, and infra so tokenized assets can actually circulate instead of rotting ...