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The Story Behind The New 10.44% Efficient Solar Cell Design

A research team led by Professor WANG Mingtai at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, has developed a refined method for

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Data Science

Bridging the Digital Chasm: How Enterprises Conquer B2B Integration Roadblocks

Why Integration Still Keeps Technology Leaders Up at Night Walk the corridors of any midsize or Fortune500 headquarters and you will hear the same lament:

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Data Science

Summary of DAIS 2025 Announcements Through the Lens of Games

Introduction I hope you all were able to make it to the Data and AI Summit this year. For those of you who missed out,

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Data Science

C-Gen.AI Announces AI Infrastructure Platform

Today, C‑Gen.AI came out of stealth mode to introduce an infrastructure platform engineered that the company said addresses a problem undermining AI’s potential: the inefficiency

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Data Science

What Can the History of Data Tell Us About the Future of AI?

“Data is the fossil fuel of AI.” – Ilya Sutskever, co-founder and former chief scientist at OpenAI “The best prophet of the future is the

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Data Science

Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need

we, data scientists, cite the most — but also the most misleading. It was long ago that we found out that models are developed for

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Data Science

Topic Model Labelling with LLMs | Towards Data Science

By: Petr Koráb*, Martin Feldkircher**, *** Viktoriya Teliha** (*Text Mining Stories, Prague, **Vienna School of International Studies, ***Centre for Applied Macroeconomic Analysis, Australia). of terms

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Data Science

There and Back Again: An AI Career Journey

I had wide-eyed ambitions to be an Artificial Intelligence developer. I studied all the latest material. By that I mean sci-fi movies — Terminator, War Games, RoboCop,

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Data Science

Dynamic Inventory Optimization with Censored Demand

under uncertainty. Not just once, but in a sequence over time. We rely on our past experiences and expectations of the future to make the

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Data Science

Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning

make smart choices when it starts out knowing nothing and can only learn through trial and error? This is exactly what one of the simplest

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