Chainlink 2.0 brings off-chain compute to blockchain oracles, promotes adoption of hybrid smart contracts
A new whitepaper just released by leading blockchain oracle service Chainlink lays the foundation for new capabilities for application and smart contract developers.
Read More →Data, analytics, machine learning, and AI in healthcare in 2021
What do you get when you juxtapose two of the hottest domains today – AI and healthcare? A peek into the future, potentially.
Read More →IOTA still wants to build a better blockchain and get it right this time
In 2014, IOTA set out to offer an alternative to the key issues with blockchain: Scalability and transaction fees. Somewhere along the way, things went wrong. Not everything is lost, however, and IOTA is looking to regain momentum.
Read More →Off-chain reporting: Toward a new general purpose secure compute framework by Chainlink
The upgrade in Chainlink's oracle service could mean more data availability at lower cost, leading to more applications
Read More →Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond
A new interconnected ecosystem for research is shaping up, and machine learning is just the tip of the iceberg.
Read More →2021 technology trend review, part two: AI, knowledge graphs, and the COVID-19 effect
AI chips, MLOps, and ethics. Knowledge, and Graphs. COVID-19 as a mixed bag for technological progress and adoption
Read More →2021 technology trend review, part one: Blockchain, cloud, open source
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Blockchain's DeFi-ning moment. Cloud, Kubernetes, and GraphQL. Open source is winning, open source creators are losing. A reality check on key technological drivers for the new decade.
Read More →From data to knowledge and AI via graphs: Technology to support a knowledge-based economy
In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies and processes that can support this transition, and what they are about.
Read More →Getting there: Structured data, semantics, robotics, and the future of AI
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
Read More →Rebooting AI: Deep learning, meet knowledge graphs
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.
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