A collection of published work across various outlets and periods. I write about the intersection of Technology, Data, Software, Innovation, and Society.

Topics include AI, Knowledge Graphs, Analytics, Algorithms, the Commons, Environment and Sustainability, Blockchain and DLT, Decentralization, Future of Work, Science, Emerging Tech, and more.

Writings

	Getting there: Structured data, semantics, robotics, and the future of AI | ZDNet Leveraging structure in data is key to making progress in AI, says AI prodigy Gary Marcus. A forward-looking view on Software 2.0, AI chips, robotics, and the future of AI		Rebooting AI: Deep learning, meet knowledge graphs | ZDNet Gary Marcus, a prominent figure in AI, is on a mission to instill a breath of fresh air to a discipline he sees as in danger of stagnating. Knowledge graphs, the 20-year old hype, may have something to offer there
	What’s next for AI: Gary Marcus talks about the journey toward robust artificial intelligence | ZDNet Gary Marcus is one of the more prominent, and controversial, figures in AI. Going beyond his critique on Deep Learning, which is what many people know him for, Marcus puts forward a well-rounded proposal for robust AI		AI and automation vs. the COVID-19 pandemic: Trading liberty for safety | ZDNet Reports on the use of AI to respond to COVID-19 may have been greatly exaggerated. But does the rush to pandemic-fighting solutions like thermal scanners, face recognition and immunity passports signal the normalization of surveillance technologies?
	Make software great again: can open source be ethical and fair? Is there a way to go beyond open source, and have ethical, fair software in a cloud-first world? This is what some people in the open source community think.		Amazon and commercial open source in the cloud: It’s complicated What do the data tell us about the relationship between cloud vendors -- specifically, Amazon and commercial open source vendors?
	Off-chain reporting: Toward a new general purpose secure compute framework by Chainlink | ZDNet The upgrade in Chainlink's oracle service could mean more data availability at lower cost, leading to more applications		Cutting-edge Katana Graph scores 28.5 million Series A Led by Intel Capital ZDNet Here's why and how a startup founded by a duo of researchers some months back is attracting big enterprise clients and serious funding
	Up and to the right: TigerGraph scores $105M Series C funding, the Graph market is growing | ZDNet The largest funding round to date in the graph market is good news not just for TigerGraph, but for the market at large		Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond | ZDNet A new interconnected ecosystem for research is shaping up, and machine learning is just the tip of the iceberg

Previous123.....................1112Next