Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL
Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that.
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 →OctoML scores $28M to go to market with open source Apache TVM, a de facto standard for MLOps
The open source Apache TVM project is becoming a de facto standard in MLOps, and OctoML is gearing its commercialization and scale up
Read More →AI chips in the real world: Interoperability, constraints, cost, energy efficiency, and models
The answer to the question of how to make the best of AI hardware may not be solely, or even primarily, related to hardware
Read More →Pinecone, a serverless vector database for machine learning, leaves stealth with $10M funding
Machine learning applications understand the world through vectors. Pinecone, a specialized cloud database for vectors, has secured significant investment from the people who brought Snowflake to the world. Could this be the next big thing?
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 →Lightning-fast Python for 100x faster performance from Saturn Cloud, now available on Snowflake
Python, the most popular language for data science and machine learning, gets a huge boost from Dask, an open source framework for running it in a distributed way on top of GPUs. Saturn Cloud, a startup offering Dask as service, is now a Snowflake partner, making Dask available to the masses
Read More →Trailblaizing end-to-end AI application development for the edge: Blaize releases AI Studio
You might not know it by reading this news, but Blaize is an AI chip company. Blaize is now boldly going where none of its ilk has gone before, releasing a software development product. And that's not the only reason AI Studio is interesting
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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