Saturday, December 3, 2022

NeurIPS 2022 Skidoo!

 


Caption this! Said to be from Lecun session… 

LLM Awakens - Prof. Chalmers discussed "Could a large language model be conscious?" at the Nov. 28th opening keynote of the 36th annual Neural Information Processing Systems conference, commonly known as NeurIPS, in New Orleans Read it. ZDNet

 Dont lose the compass - “Mortal computation" means analog computers marrying AI closely to hardware will put GPT-3 in your toaster on the cheap. Read it. ZDNet

  NeurIPS 2022 Google News Search

Friday, December 2, 2022

Why AWS SimSpace Weaver? | Amazon Web Services

Holger Mueller, Constellation Research | AWS re:Invent 2022


This is one of the first few Amazon re:Invents .. where there was no new database announced. So, it was always add another one… They have enough, right? It's a great approach to build something quick, which Amazon is all about. It's not so great when customers want to leverage things. And, ultimately, which I think with Selipsky, AWS is waking up to the enterprise saying, "I have all this different databases and what is in them matters to me." - Holger


Monday, November 21, 2022

Clarion Ledger Observer

 The Cloud Workload Observer: Grafana Labs Partners with Google Cloud


11-20-22 - Operational dashboard specialist Grafana Labs said it is partnering with Google Cloud to enable observability of operational data associated with cloud workloads via integration with Google Distributed Cloud Hosted. Supported integrations cover Grafana for visualization and Loki for log aggregation.


https://grafana.com/about/press/2022/11/15/grafana-labs-announces-partnership-with-google-cloud-to-advance-observability-for-highly-secure-cloud-workloads/


IBM Quantum State of the Union 2022

Thursday, November 10, 2022

I READ THE NEWS TODAY TEST

Awesome!

New from Neo4j

It's the graph, stupid! - Writes George A on VB: These days people increasingly understand what graph databases are good for and that’s helping the market, Webber said. Modern data is sometimes very structured and uniform and sometimes very sparse and irregular, and that suits graphs very well, he added. Learning to tell the difference means that users come to Neo4j with realistic graph problems that Neo4j can help solve. 

 https://venturebeat.com/data-infrastructure/graph-database-market-maintains-momentum-new-neo4j-5-offers-cloud-and-on-premises-ease-of-use-and-parity/