Learning in neuro/fuzzy analog chips

This paper focus on the design of adaptive mixed-signal fuzzy chips. These chips have parallel architecture and feature electrically-controlable surface maps. The design methodology is based on the use of composite transistors - modular and well suited for design automation. This methodology is supported by dedicated, hardware-compatible learning algorithms that combine weight-perturbation and outstar

Modular Design of Adaptive Analog CMOS Fuzzy Controller Chips

Analog circuits are natural candidates to design fuzzy chips with optimum speed/power figures for precision up to about 1%. This paper presents a methodology and circuit blocks to realize fuzzy controllers in the form of analog CMOS chips. These chips can be made to adapt their function through electrical control. The proposed design methodology emphasizes modularity and simplicity at the circuit level -- prerequisites to increasing processor complexity and operation speed. The paper include measurements from a silicon prototype of a fuzzy controller chip in CMOS 1.5μm single-poly technology

Using Building Blocks to Design Analog Neuro-Fuzzy Controllers

We present a parallel architecture for fuzzy controllers and a methodology for their realization as analog CMOS chips for low- and medium-precision applications. These chips can be made to learn through the adaptation of electrically controllable parameters guided by a dedicated hardware-compatible learning algorithm. Our designs emphasize simplicity at the circuit level—a prerequisite for increasing processor complexity and operation speed. Examples include a three-input, four-rule controller chip in 1.5-μm CMOS, single-poly, double-metal technology

Editing Jean Starobinski

Starobinski, Jean. Histoire de la médecine [1963]. Édition établie par Vincent Barras. Geneva: Héros-Limite; 2020, 107 p. ISBN: 978-2-88955-041-8. 20,00€.Starobinski, Jean. Le Corps et ses raisons. Édité et préfacé par Martin Rueff. Paris: Seuil (series «Librairie du XXIe siècle»); 2020. 532 p. ISBN: 978-2021238402. 26,00

Book reviews

Obra ressenyada - Raymond TALLIS, Aping mankind: neuromania, darwinitis and the misrepresentation of humanity. Durham, U.K.: Acumen, 2011

Saulo de Freitas Araujo, Thiago Constâncio Ribeiro Pereira, and Thomas Sturm, eds. The Force of an Idea: New Essays on Christian Wolff's Psychology. (Studies in History and Philosophy of Science 50), 2021

Obra ressenyada: Saulo de Freitas ARAUJO, Thiago Constâncio Ribeiro PEREIRA and Thomas STURM (eds.), The Force of an Idea. Springer, 2021

Universal decoherence induced by an environmental quantum phase transition

Decoherence induced by coupling a system with an environment may display universal features. Here we demostrate that when the coupling to the system drives a quantum phase transition in the environment, the temporal decay of quantum coherences in the system is Gaussian with a width independent of the system-environment coupling strength. The existence of this effect opens the way for a new type of quantum simulation algorithm, where a single qubit is used to detect a quantum phase transition. We discuss possible implementations of such algorithm and we relate our results to available data on universal decoherence in NMR echo experiments

Estadística en física de partícules: El seu paper en el descobriment del bosó de Higgs

L’estadística ha representat un paper d’enorme importància en el desenvolupament de la física de partícules, pionera de l’anomenada «gran ciència». La seua aplicació ha evolucionat al compàs dels progressos tecnològics, que han permès passar de registrar uns pocs centenars de «successos» a registrar-ne milers de milions. Aquest article discuteix sobre com s’ha resolt el problema de la manipulació d’aquestes quantitats massives de dades i com s’han utilitzat les principals eines estadístiques des dels anys 1990 per a cercar senyals cada vegada més petits ocults entre un soroll de fons cada vegada major. Molts experiments en la història de la física de partícules podrien il·lustrar el paper que ha exercit l’estadística, però pocs ho poden fer amb un descobriment, fruit d’un esforç tecnològic i col·lectiu colossals, de tanta repercussió científica com el del bosó de Higgs