Tag Archives: deep learning
On the Evolution of Computer Power and Computer Intelligence
The picture below is an interesting summary of the general trend in computing over the last 100 years or so (MIPS = Million Instructions Per Second). There is, however, some gap in logic here, and it frequently occurs when projections … Continue reading
Artificial Intelligence (AI) vs. Machine Learning (ML) vs. Deep Learning
I already had a post on this subject before (link) but want to summarize it again (with an added timeline): Deep learning is a sub-area of Machine Learning, which is a sub-area of Artificial Intelligence. Also, here you can find the main … Continue reading
100 Selected Startups That Use AI
I say “selected startups” in the title because this list is clearly incomplete. For example, my own startup−alchemyiot.com−is using AI/ML, and I am leading this effort. With our focus on IoT, we belong in the IoT/IIot (Industrial Iot) section of … Continue reading
Asimo: Before and Now
I have to admit that – for the longest time – I was convinced that the name Asimo for a cute Japanese robot was related to the name of Isaac Asimov. Like Asimo[v]. It was a minor shock to me when … Continue reading
The Future of AI is Bright… for an AI
The future is bright for Artificial Intelligence. But what about us? This is what it might look like when a human will face advanced AI with an IQ of 3,000. Or, 30,000. It is just a matter of time, effort, and some spare parts. … Continue reading
Japanese Supercomputer for Deep Learning
Japan wants to return to the top of the supercomputer ranks. The country’s Ministry of Economy, Trade, and Industry plans to spend 19.5 billion yen ($173 million) on a new supercomputer capable of 130 petaflops. The new computer has been named ABCI for AI … Continue reading
Stephen Hawking on Artificial Intelligence
Artificial Intelligence Will be The Best or Worst Thing to Happen to Humanity… Professor Hawking’s speech (5 minutes) at the launch of the Leverhulme Centre for the Future of Intelligence, October 19, 2016. And this is transcript of this talk:
