Ugur Candan attended events.
GYIAD Presentation: Thanks to https://gyiad.org.tr/ for hosting me on their first ever large scale event. I was not even aware that they were recording the presentations. I am glad they did. I was talking about AI and how it is restructuring our Enterprise Applicaitons. I hope you will enjoy… (You can always turn on English Captions… they are not that bad …)
Thanks for Invitation of Capital Magazine. They have hosted me in a Panel discussion that was fully attended by our Minister of Science, Industry and Technology Dr Faruk Ozlu. I have tried to paint the challanges for Turkey and how we can play right to get a better position in Industry 4.0 adaption. This revolution is much different that all those that preceded. In previous industry revolutions there was a giant barrier for entry. Access…
I was amazed to see that NVIDIA was just talking about deep learning. I am not here to talk about the differences between Artificial Intelligence or Neural Networks or deep learning, but look a the photo below. NVIDIA CEO on stage and painting his vision for next few years for nvidia. 1- A new GPU and deep learning 2- A very fast box and deep learning 3- Roadmap reveal and deep learning 4- Self-Driving cars…
Süper anlamlı bir kanpanya olmuş. Tebrikler. Geç fark ettim 31 Mart son gün. Twitter: @BetaShoes “Şimdiki çocuklar da okusun diye 31 Mart’a kadar kitaplarınızı BETA mağazalarına bekliyoruz! pic.twitter.com/EAM0kwDikU“ I really admired the activity below. I noticed it a bit lateç but better than never. Beta Shoes collecting old books tobe recycled in Turkey.
Let’s meet at GENOFUTURE’14. I would talk about Big Data Trends and its applications in Human Genome Analysis and 4 different application areas. The content of the day is an interesting one : “…Genomics is a cross-disciplinary field touching both clinicians and IT professionals. Doctors, IT decision makers, specialists in life-sciences such as biomedical software engineers, biostatisticians and in fact most scientists will be constantly exposed to this topic as cost per genome comes down…
