The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary's independent survey in 2021 and rewarded with the title of the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. We seek our new passionate Tech Lead for our existing MLOps platform.

Despite the fact that the batch normalization technique is aimed at preventing the problem of exploding gradients*, it also helps with the overfitting problem. This technique was described in detail in this work done by Ioffe, and Szeged about 6 years ago. Exploding gradients problem: If not controlled, the deep learning network weights can become too large, which would lead to the extreme values of the gradients, i.e., making gradients to explode making the loss function to return infinite/NaN values. Normalization is a process of scaling the data into a range of -1 to 1 or 0 to 1. Which is more like a matter of preference. This makes the input layer normalized, while the hidden layers are not normalized.

The seminar on Speech and Language Technology Tools is organized by HunCLARIN, Juhász Gyula Faculty of Pedagogy at the University of Szeged and the Hungarian Association of Applied Linguists and Language. The aim of the seminar is to provide researchers, teachers and students working in the humanities and social sciences a broad view of the corpora and state-of-the-art software in speech and language processing developed for Hungarian, mostly as part of the activities of HunCLARIN. This seminar is supported by CLARIN ERIC. The seminar took place at the Juhász Gyula Faculty of Education, University of Szeged, Hungary on Friday, 19 October, 2018.

HunCLARIN, Juhász Gyula Faculty of Pedagogy at the University of Szeged and the Hungarian Association of Applied Linguists and Language organized a Seminar on Speech and Language Technology Tools. The aim of the seminar is to provide a broad view of the corpora and state-of-the-art software in speech and language processing developed for Hungarian.

Earlier this month, György Buzsáki of New York University in New York City showed a slide that sent a murmur through an audience in the Grand Ballroom of New York's Midtown Hilton during the annual meeting of the Cognitive Neuroscience Society. It wasn't just the grisly image of a human cadaver with more than 200 electrodes inserted into its brain that set people whispering; it was what those electrodes detected--or rather, what they failed to detect. When Buzsáki and his colleague, Antal Berényi of the University of Szeged in Hungary, mimicked an increasingly popular form of brain stimulation by applying alternating electrical current to the outside of the cadaver's skull, the electrodes inside registered little. Hardly any current entered the brain. On closer study, the pair discovered that up to 90% of the current had been redirected by the skin covering the skull, which acted as a "shunt," Buzsáki said.