Deep learning: the truth behind the hypeSeparating the signal from the noiseDeep learning is today’s buzz. It’s a black-magic technology lauded as a cure-all for technical ails at the very least, and in the most extreme, a computational substrate…
Why we should follow the design of the human brainArtificial Intelligence has always been the darling of storytellers since the idea was first envisioned. In the stories robots either serve us or rise against us. But it has never been within the realm of possibility until now. Great strides…
О дивный новый мир!Brave New World!Думаю что 2016 год станет переломным в сосуществовании человеческого и искусственного интеллекта (ИИ): расклад сил стремительно меняется. Около месяца назад чемпион по игре в го проиграл искусственному интеллекту AlphGo от Google, а бот “п…
Spam detection using neural networks in PythonNeural networks are powerful machine learning algorithms. They can be used to transform the features so as to form fairly complex non linear decision boundaries. They are primarily used for classification problems.
A Colorful Harvest in Rio Grande do Sul, BrazilThe Earth’s surface is constantly changing. Sometimes…
Nvidia’s vision for deep learning AI: Is there anything a computer can’t do?by David CardinalIt is nearly impossible to overstate the enthusiasm for deep-learning-based AI among most of the computer science community and big chunks of the tech…
Change here for the Valhalla ExpressIn the early 1960s, David Gleicher, while working at Arthur D. Little, introduced a formula…
Why strong AI might be impossibleFirst of all, I am a strong believer in general artificial intelligence. Here I try to list possible reasons that make “strong AI” hard. These reasons will show how the hype of “AI will kill us one day” is not quite right, and if you really understand the fundamentals…