No real guardrails, regulatory capture of our legislative bodies and our President....not a good combination. The Israel of technologies.
https://arcinstitute.org/tools/evo
And
A site devoted mostly to everything related to Information Technology under the sun - among other things.
No real guardrails, regulatory capture of our legislative bodies and our President....not a good combination. The Israel of technologies.
https://arcinstitute.org/tools/evo
And
Effort.jl is a fast and differentiable emulator for the Effective Field Theory of the Large-Scale Structure of the Universe.
It is described here:
The (Julia language) Repo is here:
GitHub - CosmologicalEmulators/Effort.jl: Repository containing the EFfective Field theORy surrogaTe
Effort.jl Home:
Two AI-enabled tools for clinical documentation and processing:
Epic:
Things You Can Do on Your Own - Epic | ACEP
and
Dragon Medical One:
Dragon Medical One | Microsoft Cloud for Healthcare
I had found it efficient to create a cross-reference spreadsheet for tables vs. columns as well as one for columns vs. tables in a relational database during the course of executing my software development work. It enabled me to quickly look up tables and columns without having to connect to my database and search for the occurrences of a column (sometimes in multiple tables) and other, similar searches.
The basic idea was to use a SQL query to get records of tables and columns (with their properties) of a relational schema and to then use the MS Excel Pivot tables to create two tabs based on that those records; one for Tables vs. Columns and one for Columns vs. Tables.
I have posted a sample here:
Tools/Tables and Columns Cross-Reference.xlsx at main · Crimson-Reason/Tools
I wonder if this approach could augment or replace such things as Profilers or (SQL) Execution Plans.
This very simple tool extracts and displays data from the Recall feature in Windows 11, providing an easy way to access information about your PC's activity snapshots.
I think it make sense to extend to AI software assets the same approach as Embedded Systems developers are adopting for their software assets; viz. SBOM.
Pleas see Introduction to SBOM management on embedded Linux - sergioprado.blog, and [2307.02088] Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future (arxiv.org), and the image below for further elucidation of what SBOM is.
Free eBooks from our friends at Redmond on Azure:
Cloud Native Infrastructure with Azure (azureedge.net)
Learn Azure in a Month of Lunches (azureedge.net)
Use https://caniuse.com/ for compatibility on a large amount of CSS/JS items!
From Natalia Putik, who is a reader of this Blog:
If you use conda to manage your packages, you might be interested in switching to mamba (Welcome to Mamba’s documentation! — documentation). It can be installed by running: conda install mamba -y
I noticed that the times that take to create an environment are reduced a lot just by changing to mamba. Also helped me reducing my TFS pipeline Docker build to go from over 20 minutes to approximately 4 minutes.
More discussion here:
Conda or Mamba for production? | EPI2ME Labs Blog