The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity
Is technology the answer to life, the universe and everything? A brief account of human history. Technology and economics 101. The human brain, belief systems and metaphysics. And lots of AI. That’s what’s included in Byron Reese’s book The Fourth Age, featured in CES 2019. There is no lack of ambition or ability to negotiate a […]
Read More →Data, crystal balls, looking glasses, and boiling frogs: Reviewing 2018, predicting 2019
Data gets flexible. Machine learning reigns supreme and transforms everything, including software and hardware. Regulation, governance and licensing interplay with the brave new data world. The years of the graph are only getting started. And frogs are boiling. These are the trends shaping the software, hardware, data, machine learning and AI landscape
Read More →The AI chip unicorn that’s about to revolutionize everything has computational Graph at its Core
AI is the most disruptive technology of our lifetimes, and AI chips are the most disruptive infrastructure for AI. By that measure, the impact of what Graphcore is about to massively unleash in the world is beyond description. Here is how pushing the boundaries of Moore's Law with IPUs works, and how it compares to today's state of the art on the hardware and software level. Should incumbent Nvidia worry, and users rejoice?
Read More →From big data to AI: Where are we now, and what is the road forward?
It took AI just a couple of years to go from undercurrent to mainstream. But despite rapid progress on many fronts, AI still is something few understand and fewer yet can master. Here are some pointers on how to make it work for you, regardless of where you are in your AI journey.
Read More →Processing time series data: What are the options?
Get your data from everywhere you can, anytime you can, they said, so you did. Now, you have a series of data points through time (a time series) in your hands, and you don't know what to do with it? Worry not, because there's a bunch of options.
Read More →Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases
What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database for your use case is essential if you want to be like the Airbnbs, Amazons, Googles, and LinkedIns of the world.
Read More →The past, present, and future of streaming: Flink, Spark, and the gang
Reactive, real-time applications require real-time, eventful data flows. This is the premise on which a number of streaming frameworks have proliferated. The latest milestone was adding ACID capabilities, so let us take stock of where we are in this journey down the stream — or river.
Read More →Artifictional Intelligence: is the Singularity or the Surrender the real threat to humanity?
Artificial intelligence is one of those things: overhyped and yet mystical, the realm of experts and yet something everyone is inclined to have an opinion on. Harry Collins is no AI expert, and yet he seems to get it in a way we could only wish more experts did. Collins is a sociologist. In his book “Artifictional […]
Read More →Google can now search for datasets. First research, then the world?
Did you ever need data on a topic you wanted to research, and had a hard time finding it? Wish you could just Google it? Well, now you can do that.
Read More →The web as a database: The biggest knowledge graph ever
Imagine you could get the entire web in a database, and structure it. Then you would be able to get answers to complex questions in seconds by querying, rather than searching. This is what Diffbot promises.
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