Category Archives: Machine Learning

On the Road to Universal Learners

Posted on October 14, 2023 by decisionmanagementcommunity

Peter Norvig tweeted on Oct. 10: “Given example inputs and outputs of any function that can be computed by any computer, a neural net can learn to approximate that function.” He refers to this paper “Auto-Regressive Next-Token Predictors are Universal … Continue reading →

Posted in LLM, Machine Learning | Leave a comment

DecisionCAMP Day 1 Recordings

Posted on September 19, 2023 by decisionmanagementcommunity

Watch recordings of the first day presentations at DecisionCAMP-2023:

Posted in Artificial Intelligence, Decision Modeling, DMN, Events, Machine Learning | Leave a comment

Knowing-How and Knowing-That

Posted on August 22, 2023 by decisionmanagementcommunity

Dr. Saba discusses our use of the phrase ‘I know’ in our everyday linguistic communication and points to the critical difference in the two major uses of the phrase. His point is that ML, as it is practiced today, is … Continue reading →

Posted in Knowledge Representation, Logic and AI, Machine Learning | Leave a comment

Demystifying ChatGPT

Posted on December 20, 2022 by decisionmanagementcommunity

2 Millions people have already signed up to use ChatGPT that has been generating a lot of buzz in the AI community. What can it create, and where are the humans in the loop? How does this generalize? Cassie Kozyrkov, Chief … Continue reading →

Posted in Artificial Intelligence, Human-Machine Interaction, Machine Learning | 1 Comment

AAAI-23 Constraint Programming and Machine Learning Bridge

Posted on November 16, 2022 by decisionmanagementcommunity

The AAAI-23 Constraint Programming and Machine Learning Bridge is part of the AAAI-23 Bridge Program. Bringing together CP (Constraint Programming) and ML (Machine Learning) is an important aspect of the larger goal of integrating Reasoning and Learning. Participants are not expected to … Continue reading →

Posted in Constraint Programming, Events, Machine Learning | Leave a comment

On the Paradox of Learning to Reason from Data

Posted on August 26, 2022 by decisionmanagementcommunity

Cornell University published this article on May-2022: “Logical reasoning is needed in a wide range of NLP tasks. Can a BERT model be trained end-to-end to solve logical reasoning problems presented in natural language? We attempt to answer this question … Continue reading →

Posted in Artificial Intelligence, Machine Learning, Natural Language Processing | Leave a comment

Forrester announces AI 2.0

Posted on July 6, 2022 by decisionmanagementcommunity

As more businesses leverage artificial intelligence to drive transformative customer experiences and real-time business decisions, Forrester announces “a new era of AI development – one that addresses accuracy, speed, and security.” Link 

Posted in Artificial Intelligence, Machine Learning | Leave a comment

Intelligent Business Automation (IBA)

Posted on May 27, 2022 by decisionmanagementcommunity

The hype surrounding intelligent business automation is at all-time high. “Intelligent business process automation is the next evolution of BPM. BPM is a way to automate processes, which allows people and companies to be more efficient and effective when getting … Continue reading →

Posted in Business Processes, Case Management, Machine Learning | Leave a comment

Using Episodic Memories to Predict Upcoming Events

Posted on April 12, 2022 by decisionmanagementcommunity

This paper addresses an important problem in control of episodic memory to be used to predict upcoming states in an environment where past situations sometimes reoccur. One of the key benefits is reducing the risk of retrieving irrelevant memories. Read more

Posted in Decision Making, Decision Modeling, Event-driven, Knowledge Representation, Machine Learning | Leave a comment

Learning Jointly from Rules and Data

Posted on January 28, 2022 by decisionmanagementcommunity

Today’s post in Google AI Blog “Controlling Neural Networks with Rule Representations” introduces a novel approach that does not require machine learning models retraining to adapt the rule strength. In real-world domains where incorporating rules is critical – such as physics … Continue reading →

Posted in Business Rules, Decision Modeling, Machine Learning | Leave a comment