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 →Graph data standardization: It’s just a graph, making gravitational waves in the real world
AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the hottest segment in data management: Graph.
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 →Confluent shows open source, paradigm shifts, cloud, and commercial success can all co-exist
Confluent just became a unicorn. We discuss why, what happens from now on, and how this is significant for the entire data ecosystem and the world at large with CEO Jay Kreps
Read More →Start the reskilling revolution without me: Future of Work trends and soft data on soft skills
As work is being redefined by automation as well as changing economy and social norms, how can technology help us stay abreast, discover, hone and document our skills, and match labor demand and supply?
Read More →Beyond experts: Jobs, tasks, and skills for a data driven Future of Work
Understanding and keeping track of the relationship between jobs, tasks and skills is essential for the future of work. If current efforts fall short, how can we do this going forward?
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?
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