Run:AI takes your AI and runs it, on the super-fast software stack of the future
Startup Run:AI exits stealth, promises a software layer to abstract over many AI chips
Read More →Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask
Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.
Read More →Salesforce Research: Knowledge graphs and machine learning to power Einstein
Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning.
Read More →Open source AI chips making Green Waves: Bringing energy efficiency to IoT architecture
What if machine learning applications on the edge were possible, pushing the limits of size and energy efficiency? GreenWaves is doing this, based on an open-source parallel ultra low power microprocessor architecture. Though it's early days, implications for IoT architecture and energy efficiency could be dramatic.
Read More →Habana, the AI chip innovator, promises top performance and efficiency
Habana is the best kept secret in AI chips. Designed from the ground up for machine learning workloads, it promises superior performance combined with power efficiency to revolutionize everything from data centers in the cloud to autonomous cars.
Read More →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 →Just another Cyber Monday: Amazing Amazon and the best deal ever
When you get something at 80% off on Amazon, who do you think wins — you or Amazon? If you think that’s a strange question, you ain’t seen nothing yet. Maybe it’s time we re:Invent some things. But, how can possibly getting a huge discount be bad? It’s not, if you actually need what you’re buying, and […]
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.
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