Dynamic Questionnaires from Sparkling Logic

Sparkling Logic introduces Dynamic Questionnaires (DQs) for web applications that collect information for making near real-time decisions based on user responses and business policies. Learn more about the latest Sparkling Logic’s release and register for the upcoming webinar.

Posted in Human-Machine Interaction, Products | 1 Comment

MISMO® Recommends DMN™ Standard

MISMO, the mortgage industry’s standards organization, recommended the use of the Decision Model and Notation (DMN) standard for documentation, implementation, execution and exchange of business rules and decisions across the mortgage industry. Link

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Modeling and Solving Scheduling Problems with CP Optimizer

The Resource-Constrained Project Scheduling Problem (RCPSP) is a classical problem among the myriad scheduling problems studied both in academia and in industry. Philippe Laborie, a principal scientist at IBM, describes how it can easily be modeled and efficiently solved using the CP Optimizer engine of IBM ILOG CPLEX Optimization Studio. Link

Posted in Optimization, Scheduling and Resource Allocation | Leave a comment

Remembering Egon Balas

Egon Balas, a pioneer in integer and disjunctive programming, died on March 18, 2019. He was 96. His life included two imprisonments for joining the communist party to oppose the Nazis during World War II. He later became one of the world’s foremost experts in mathematical optimization after joining Carnegie Mellon in 1967. “A beloved member of the CMU faculty for more than half a century, Egon Balas was a preeminent and legendary scholar who was enormously influential in the fields of operations research and applied mathematics“. In 2016 he gave this amazing interview.

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Google Announced a new Speech Recognizer

Google has announced the rollout of an end-to-end, all-neural, on-device speech recognizer based on the latest machine learning capabilities. “Our new all-neural, on-device Gboard speech recognizer is initially being launched to all Pixel phones in American English only. Given the trends in the industry, with the convergence of specialized hardware and algorithmic improvements, we are hopeful that the techniques presented here can soon be adopted in more languages and across broader domains of application.Link

Posted in Human-Machine Interaction, Machine Learning, Natural Language Processing | Leave a comment

Two-thirds of all Android antivirus apps are frauds

Apparently, two-thirds of the ‘anti-virus’ apps on Google Play are frauds. The report, published by Austrian antivirus testing outfit AV-Comparatives, analyzed 250 Android antivirus apps available on the official Google Play Store. The report’s results are tragicomical –with antivirus apps detecting themselves as malware– and come to show the sorry state of Android antivirus industry, which appears to be filled with more snake-oilers than actual cyber-security vendors.” Link

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ML: A Step-by-Step Disaster Prevention Guide

Diving into Machine Learning (ML) without knowing what you’re trying to achieve is a recipe for disaster. This disaster prevention guide describes 13 steps to follow.

Posted in Machine Learning | Leave a comment