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Identifying Interactions at Scale for LLMs

Rick W 0 4
Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and impacted humans, a step toward safer and more trustworthy AI. To gain a comprehensive understanding, we can analyze...

Information-Driven Design of Imaging Systems

Rick W 0 3
An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. Many imaging systems produce measurements that humans never see or cannot interpret directly. Your smartphone processes raw sensor data through...

Why Supply Chain Design Becomes the Differentiator as AI Automates Planning - with Don Hicks of Optilogic

Rick W 0 0
The traditional focus on supply chain efficiency has created brittle networks that break under modern volatility and shifting global trade consensus. Optilogic provides an AI‑native platform for supply chain design, where autonomous agents build models, generate scenarios, and evaluate network tradeoffs. In this episode, Don Hicks, CEO at Optilogic, unpacks why enterprise leaders must run...

What is dead stock and how to track and control it

Rick W 0 2
A CFO of a wholesaler recently described dead stock as piles of cash in the corner of a warehouse that she can’t access. And, in many ways, she’s not wrong. Dead stock is unsold products in storage or returned from retailers. It reduces the cash flow you need to buy revenue-generating stock and takes up valuable warehouse space that profitable products could use. Dead stock inventory...

Demand planning best practices & benchmarks for wholesale distributors

Rick W 0 0
Recent findings from the Phocas Wholesale Distribution Inventory Survey reveal an interesting trend in that demand planning is a key performance differentiator. The results show that 11% of distributors rate their demand planning as very accurate with the rest of the respondents reporting somewhat accurate to poorly accurate demand planning. The accuracy gap also highlights how having...