Understanding Emergent Capabilities in LLMs
Lessons from Biological Systems
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A Story of Long Tails
Why Uncertainty in Marketing Mix Modelling is Important
Untangling AI systems: How Physics Can Help Us Understand Neural Networks
The building blocks of Neural Networks
Emotion-Informed Valuation Mechanism for Improved AI Alignment
Improving the emotional context understanding of LLMs
Beyond Marketing Mix Modeling: A Modern Marketer's Garden
Revamping Marketing Measurement for the Digital Age
From Newton to Gen AI
A new approach to AI reasoning optimization
Physics Meets AI: How Symmetry Could Help Us Understand Language Models
Exploring how fundamental physics principles might unlock the secrets of large language models and guide AI alignment
A Basic Introduction to Quantum GANs
A Hybrid Quantum-Classical Approach to Synthetic Data Generation
The Magic of Synthetic Data
How GANs Can Help You Generate Artificial Data that is Representative of Your Original Data
Data modeling culture versus algorithmic modeling culture
A critical choice for any data scientist
Using Synthetic Data in Digital Marketing
An new opportunity for brands and marketing agencies
Synthetic Tabular Data Generation
Introducing nbsynthetic: a simple but powerful tabular data generation open source library for small datasets.
AI applied to business
How to build a Digital Twin
Python implementation of a digital twin for Li-ion battery simulation
AI applied to business
Reinforcement Learning is not just for playing games
How can multi-armed bandits can help a startup
AI research
Explainable Deep Neural Networks
Getting qualitative insights from hidden layers
'Red Team' strategy
An old new approach for post-pandemic boom
AI research
Should we already learn quantum computing?
It is not as complicated as it seems
Cool Innovation
A Descent Into Chaos
Business Innovation | AI
The Innovation Iceberg
‘All you have to do is write one true sentence. Write the truest sentence you know.’ Ernest Hemingway According Future Food 2050, a publishing initiative from the Institute of Food Technologists (IFT), between 33 and 50% of the food produced for human consumption is wasted every year in the world.
Technical article
Topological Data Analysis -part II-
Note: This article is the continuation to Topological Data Analysis -part I-. We recommend that the reader read the first section where we introduced some topology concepts and the dataset. One can’t do mathematics for more than ten minutes without grappling, in some way or other, with the slippery
Technical article
Topological Data Analysis - part I-
Data’s qualitative information that matters