Here's a link to my JuliaCon 2023 keynote talk on @GraphBLAS and its impact on @JuliaLanguage,
@MATLAB, https://t.co/tCZhkSiKPx (and thus
@LeidosInc), @falkordb (formerly RedisGraph) and more.
https://t.co/NRDJ45Z3BQ
(reposted with link fixed)
@AiDevTLV 2025 Recap:
- EVERYONE is building an AI agent. Most recognize the need for agentic memory.
- Hybrid (vector + graph) is the way to go #RAG-wise.
- #N8N, Knowledge Graphs, and speaking with org data are on everyone's to-do list.
See you next year!
Anything is possible, including turning music into striking works of art through the power of mathematics. Thanks to innovative research at Texas A&M University. Dr. Timothy A. Davis, a professor in the @TAMUEngineering, brings together creativity and computation by transforming entire musical pieces into sparse matrices. It’s creativity and discovery in action — showing how Aggie research can inspire new ways of seeing the world.
🔗: https://t.co/KDhdN9O485
#AggieResearch #TAMU #TAMUEngineering
[DEV-PREVIEW] @falkordb support is coming soon to G.V()!
As always, getting setup is easy as 1-2-3, and gives you access to large scale graph visualization, exploration, Cypher query editing facilities, and much more.
Check out our preview below:
#graphdb
#WATCH: “I know the beauty is there,” says Texas A&M University professor Dr. Timothy A. Davis, on how he uses math to convert music into artwork, which creates unique computer-generated artistic pieces. Tehosterihens Deer reports. https://t.co/OOMzwRU9ms
Dr. Timothy A. Davis, professor at Texas A&M University, is gearing up to present the 2025 I. E. Block Community Lecture at #SIAMAN25!
If you're onsite, join us in Room 517D or tune in to the livestream: https://t.co/a3iOAHXZgn
#SIAMACDA25#SIAMCT25#SIAMGD25
Five days of lectures, presentations and displays are expected to add up to new eye-opening applications of math for the 1,000-plus mathematicians, data scientists, and computer engineers from around the world...
https://t.co/nt4mWIYSrp
Don’t miss the 2025 I. E. Block Community Lecture at #SIAMAN25! @TAMUEngineering Prof. @DocSparse explores how math, music & art collide in his work turning music into visual art.
📅 July 30 | 6:15 p.m. ET
📍Rm 517D, Montréal Convention Center
🔗https://t.co/EtLYebiUKq
Graphiti now supports @falkordb as a database backend, contributed by the FalkorDB team 🚀 FalkorDB is a low-latency, high-performance graph database. ⚡️
With FalkorDB, you get more database choices for building time-aware knowledge graphs 🔧
⬇️ Read more below.
WOW, pitching at #SouthSummit was incredible.
We focused on a growing pain point: LLM hallucinations.
Specifically, why GraphRAG architecture delivers what VectorRAG can’t — trust, context, and accuracy at enterprise scale.
#GraphRAG#GenAI#FalkorDB#LLM#SouthSummit2025
We're pleased to share that @DocSparse , a @TAMUEngineering professor, will deliver the 2025 I. E. Block Community Lecture at the Third Joint SIAM/CAIMS Annual Meetings! #SIAMAN25 will be held July 28 - August 1, 2025 in #Montreal.
Learn more: https://t.co/EtLYebiUKq
@spragginsdesign@HowNot2UsePhone@github Since then I've found very generic prompts that emit my code verbatim, not 'in Davis style' and not "cs_". Github copilot can produce about a third of my entire CSparse package this way: https://t.co/2IonG2kpPn
@github copilot, with "public code" blocked, emits large chunks of my copyrighted code, with no attribution, no LGPL license. For example, the simple prompt "sparse matrix transpose, cs_" produces my cs_transpose in CSparse. My code on left, github on right. Not OK.
Memary now supports @falkordb! With this partnership, developers can access ultra low latency knowledge graphs and apply Memary to multiple agents. All open source!
Learn more: https://t.co/gDpOPoFL4M
@g_korland@roilipman
Developing or interested in #graphrag , #CodeGraph and graph databases? This event lineup is for you.
Catch the latest use cases and projects we’ve completed during our upcoming US roadshow with @g_korland.
Attending? Let's meet, drop us a line in the comments.
Working with complex graph data? Understanding how to represent and traverse in-memory graphs efficiently can significantly improve your workflow.
Key takeaways:
Tensors for Multi-Edge Handling /
Optimized GraphBLAS Operations / Custom Semiring Operations
Link in the comments
We made automatic ontology generation possible by integrating Gemini with our GraphRAG SDK (model-agnostic) at @googlecloud#AIHackathon last week.
🎉 It won us a much appreciated innovation award - thank you @boazmaoz !
@vardi 😢or tell it to our family friends who survived the camps (marrying afterwards). Both lost their entire families. The wife lost her 1st husband & 3 boys. The boys were taken out for an "outing"; all shot. They didn't starve to death. The wife survived only because she was a cook.