Spartan Daily, April 17, 1940

Volume 28, Issue 121https://scholarworks.sjsu.edu/spartandaily/3068/thumbnail.jp

Spartan Daily, January 12, 1944

Volume 32, Issue 56https://scholarworks.sjsu.edu/spartandaily/10862/thumbnail.jp

Spartan Daily, December 4, 1984

Volume 83, Issue 62https://scholarworks.sjsu.edu/spartandaily/7248/thumbnail.jp

Spartan Daily, January 12, 1944

Volume 32, Issue 56https://scholarworks.sjsu.edu/spartandaily/10862/thumbnail.jp

Spartan Daily, January 12, 1944

Volume 32, Issue 56https://scholarworks.sjsu.edu/spartandaily/10862/thumbnail.jp

Cyborgization yesterday, today and tomorrow: Selected perspectives and educational contexts

In this article we attempt to show that men have aimed at cyborgizing themselves from the dawn of history. We will present selected current perspectives on the process of cyborgization that we symbolically call the restoring and extending ones. We will show selected exemplifications of cyborgizing activities and visions on the cyborgization of tomorrow. The analysis of these concepts is crucial for teachers, as they show the dichotomous relation between education and cyborgization. The dichotomy is related to the fact that on the one hand futurologists claim cyborgization is a technology of a tremendous educational potential, and on the other hand they conjecture about the concept of a world of cyborgs that exists without education

Alan Turing and the “hard” and “easy” problem of cognition: doing and feeling

The "easy" problem of cognitive science is explaining how and why we can do what we can do. The "hard" problem is explaining how and why we feel. Turing's methodology for cognitive science (the Turing Test) is based on doing: Design a model that can do anything a human can do, indistinguishably from a human, to a human, and you have explained cognition. Searle has shown that the successful model cannot be solely computational. Sensory-motor robotic capacities are necessary to ground some, at least, of the model's words, in what the robot can do with the things in the world that the words are about. But even grounding is not enough to guarantee that -- nor to explain how and why -- the model feels (if it does). That problem is much harder to solve (and perhaps insoluble)

SUSTAVI POSLOVNE INTELIGENCIJE JUČER, DANAS I SUTRA - PREGLED

Business intelligence (BI) represents the ability to understand and adapt to new business conditions, and to solve business problems. The BI system, based on the data collected from various business and public sources, aims to detect and determine the legalities that would simplify the decision-making process. BI combines operational data with analytical tools in order to present complex and important information to decision makers, business managers and planners. The main goal of BI is to improve the timeliness and quality of inputs in the decision process. BI is used to understand the possibilities available in business firms like market trends, future decisions and directions in the markets worldwide, different technologies, the regulatory environment in which the business firm competes and the activities taken by many competitors. BI pervades the entire business organization, improves operations and raises the level of business intelligence in all of its aspects. The paper presents an overview of BI, an analysis of its early development as well as its state today, and some predictions for the future. These are also the main contributions of the paper.Poslovna inteligencija (BI) predstavlja sposobnost shvaćanja i vještog snalaženja u novim uvjetima poslovanja, te sposobnost rješavanja poslovnih problema. Sustav BI-a, na temelju prikupljenih podataka iz različitih poslovnih i javnih izvora, ima za cilj otkriti i utvrditi zakonitosti kojima će se olakšati donošenje poslovnih odluka. Poslovna inteligencija kombinira poslovne podatke s analitičkim alatima kako bi predstavila složene i važne informacije donositeljima odluka, poslovnim menadžerima i planerima. Glavni cilj BI-a je poboljšati pravovremenost i kvalitetu inputa u procesu odlučivanja. Poslovna inteligencija se koristi za razumijevanje mogućnosti koje su dostupne u poslovnim tvrtkama poput tržišnih trendova, budućih odluka i uputa za tržišta širom svijeta, različitih tehnologija, regulatornog okruženja u kojem se poslovna poduzeća natječu te djelovanja mnogih konkurenata. BI prožima cijelu poslovnu organizaciju, poboljšava poslovanje i podiže razinu poslovne inteligencije u svim njenim aspektima. U članku je prikazan pregled BI-a, analiza njegovog ranog razvoja kao i njegovog stanja danas te neka predviđanja za budućnost. To su ujedno i glavni doprinosi rada