תגובה לפוסט בפייסבוק בקבוצת גרפיקאים.. וכל מי שצריך אותם :)

הכתבה: http://www.israelhayom.co.il/article/558409 הפוסט: https://www.facebook.com/groups/Israel.Graphics/permalink/858038734383461/?comment_id=858112694376065&reply_comment_id=858137467706921&notif_id=1527253338514843&notif_t=group_comment_reply קישורים: https://goo.gl/dURzUm https://www.mako.co.il/news-israel/local-q4_2017/Article-7904cb8f5ed8061004.htm http://www.mahadash.co.il/?p=431817 https://www.kikar.co.il/261242.html https://goo.gl/opNsKq https://goo.gl/hJMrCS http://www.moko.co.il/?p=431817 https://www.calcalist.co.il/local/articles/0,7340,L-3666203,00.html https://news.xoox.co.il/item_2972519.htm http://www.talkyazamut.com/61221/492502-28   חברות וחברים יקרים, אין צורך להילחץ ממה שחברת טיילור-ברנדס מנסה להציג ולהלן ההסבר שלי מעמדה מקצועית, מהותית ותכליתית:1) מייסדי החברה מגיעים מרקע של אנשי וחברות פרסום ולא מרקע של עיצוב ובנוסף אחד מהם פרש מלימודי העיצוב שלו כעבור שנה משום שהלימודים … Continue reading תגובה לפוסט בפייסבוק בקבוצת גרפיקאים.. וכל מי שצריך אותם 🙂

7 EXAMPLES OF HOW AI AND MACHINE LEARNING ARE CHANGING THE ARTS

GINETTE METHOT, VAULT ANALYTICS@GINETTEMETHOT Image Credit: Shutterstock / Hetmanchuk Serhiy Data, artificial intelligence, machine learning (ML), and deep learning (DL): These make up the zeitgeist of our current times. We read these words constantly. We also hear they will leave no area or industry untouched. But what about the arts? How have they influenced or aided … Continue reading 7 EXAMPLES OF HOW AI AND MACHINE LEARNING ARE CHANGING THE ARTS

MICROSOFT SPELLS OUT ITS PLANS FOR SEMANTIC MACHINES

KHARI JOHNSON@KHARIJOHNSON Above: Semantic Machines team at the University of California, BerkeleyImage Credit: Semantic Machines Microsoft announced Sunday it acquired conversational AI startup Semantic Machines, a company whose staff includes former Siri chief scientist Larry Gillick and researchers such as Percy Liang, who helped create Google Assistant.   Few details were provided in a blog post to announce … Continue reading MICROSOFT SPELLS OUT ITS PLANS FOR SEMANTIC MACHINES

Microsoft spells out its plans for Semantic Machines

KHARI JOHNSON @KHARIJOHNSON  Above: Semantic Machines team at the University of California, Berkeley Image Credit: Semantic Machines Microsoft announced Sunday it acquired conversational AI startup Semantic Machines, a company whose staff includes former Siri chief scientist Larry Gillick and researchers such as Percy Liang, who helped create Google Assistant. Few details were provided in a blog post to … Continue reading Microsoft spells out its plans for Semantic Machines

7 examples of how AI and machine learning are changing the arts

GINETTE METHOT, VAULT ANALYTICS @GINETTEMETHOT Image Credit: Shutterstock / Hetmanchuk Serhiy Data, artificial intelligence, machine learning (ML), and deep learning (DL): These make up the zeitgeist of our current times. We read these words constantly. We also hear they will leave no area or industry untouched. But what about the arts? How have they influenced or … Continue reading 7 examples of how AI and machine learning are changing the arts

Can Google’s Deep Dream become an art machine?

The company’s neural network has created a slew of beautiful and at times terrifying images, and is being harnessed to create unique artwork Alex Rayner Moonage Daydream: art created by Deep Dream. Photograph: Deep Dream Over the last weekend in February one of Google’s computer science departments, Research at Google, co-hosted Deep Dream: the art of … Continue reading Can Google’s Deep Dream become an art machine?

Data Scientist Resume Projects

Machine learning problems set to build a data scientist CV without work experience Data scientists are one of the most hirable specialists today, but it’s not so easy to enter this profession without a “Projects” field in your resume. You need experience to get the job, and you need the job to get the experience. … Continue reading Data Scientist Resume Projects

Exploratory adaptation in large random networks

Abstract The capacity of cells and organisms to respond to challenging conditions in a repeatable manner is limited by a finite repertoire of pre-evolved adaptive responses. Beyond this capacity, cells can use exploratory dynamics to cope with a much broader array of conditions. However, the process of adaptation by exploratory dynamics within the lifetime of … Continue reading Exploratory adaptation in large random networks

A history of machine translation from the Cold War to deep learning

Photo by Ant Rozetsky on Unsplash   I open Google Translate twice as often as Facebook, and the instant translation of the price tags is not a cyberpunk for me anymore. That’s what we call reality. It’s hard to imagine that this is the result of a centennial fight to build the algorithms of machine translation and that … Continue reading A history of machine translation from the Cold War to deep learning

Machine Learning Translation and the Google Translate Algorithm

The basic principles of machine translation engines Google Machine Translation Every day we use different technologies without even knowing how exactly they work. In fact, it’s not very easy to understand engines powered by machine learning. The Statsbot team wants to make machine learning clear by telling data stories in this blog. Today, we’ve decided to explore machine … Continue reading Machine Learning Translation and the Google Translate Algorithm

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