Posts

There are common assumptions about ethics for scientists: that bioscientists, working on even harmless virus, will put an effort of containing the virus, even if it’s as benign as forcing people to sneeze at 8 a.

For data scientists and engineers, soft skills for the modern world are not the old Trivium — rhetoric, logic, and grammar. My view on the set of skills that allow you to navigate complexity in the modern world, common for engineers, architects and data scientists:

Metacortex Engineering: Meta needs Brain—Cortex I see metacortex engineering combination of approaches AI, ethics, systems and enterprise engineering. When everyone got excited about Meta and Metaverse, I thought two things:

Science is way more important than Data Science is way more important than Data The common perception of data science work you need a lot of data, then you formulate a hypothesis, run EDA etc.

Are you still using Java in 2021? Bad guys are coming for you: One more reason to stop using Java in 2021 https://www.schneier.com/blog/archives/2021/12/on-the-log4j-vulnerability.html use Rust instead, it’s Greener and more sustainable.

Benchmarks for BERT Large Question Answering inference for RedisAI and RedisGears pre-requisite for running the benchmark: Assuming you are running Debian or ubuntu, have docker and docker-compose (or can create virtual environment via conda):

Knowledge Graphs: Ontology in plain English Knowledge Graphs: Ontology in plain English (translation from Russian Telegram post by Prapion Medvedeva) When building complex information systems or walking through life in general, we constantly assign types to everything we or others talk about.

I have a deep appreciation of classical music, especially violin: I am genetically wired to like it (I chose to go to musical school into violin, despite my parents having better options for teachers with other instruments and progressed to grade 5), and violin music inspires me to do technological inventions.

You got probability and likelihood calculation wrong; this is why you can’t build a proper recommender. I finally finished reading long overdue essay (300 лет в искаженной реальности) in Russian, which is referencing Nature publication “The ergodicity problem in economics” and “Time to move beyond average thinking”.

Newsletter from NVIDIA about the BERT model with 1.2 milliseconds on the latest hardware reminded me that I run BERT QA (bert-large-uncased-whole-word-masking-finetuned-squad) in 1.46 ms on a laptop with Intel i7–10875H on RedisAI during RedisLabs RedisConf 2021 hackathon.