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New
The latest blog posts to take off on Hacker News. 167 posts.
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Beyond L2 Loss – How We Experiment with Loss Functions
Estimating expected time of arrival (ETA) is crucial to what we do at Lyft. Estimates go directly to riders and drivers using our apps, as…
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Squashed Bugs, with Failure Rate Heatmaps
TiDB is the distributed SQL database built for AI agents. Vectors, transactions, and analytics in one engine with ACID guarantees and elastic scale.
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Using Python and OCaml in the same Jupyter notebook
The cover image is based on Jupiter family by NASA/JPL.
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When an SQL Database Makes a Great Pub/Sub
We explore how databases be used as effective Pub/Subs in Go, demonstrating how SQL's unique features can enhance message-driven applications.
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A Predictive Database
What is a predictive database? A database that lets you query predictions from structured tabular data with no model training step. Learn how predictive databases work, when to use them, and how they compare to traditional ML.
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Message DB: Event Store and Message Store for PostgreSQL
The Eventide Project team is excited to announce Message DB: A fully-featured event store and message store implemented in PostgreSQL for pub/sub, event sourcing, and evented microservices applicat...
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2020 Cloud Report: AWS vs. GCP vs. Azure
The 2020 Cloud Report compares AWS, GCP, and Azure on microbenchmarks and customer-like-workloads to understand performance tradeoffs within each cloud.
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“My Car does not start when I buy Vanilla Ice Cream” (2015)
Did you ever imagine that an “Ice Cream” could shake the entire General Motors? In 2010, the Pontiac Division of General Motors received a very funny complaint from one of its customers. It was so weird & bizarre that it took the entire General Motors by storm. However, on reading the entire Case, this definitely
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FastMRI initiative releases neuroimaging data set
As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new dataset of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.
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Object-recognition dataset stumped the world’s best computer vision models
When computer vision detectors are turned loose in the real world, their performance noticeably drops. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset called ObjectNet.
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Reducing the Performance Gap of Intel's MKL on AMD Threadripper
In this post I'm going to show you a simple way to significantly speedup Python numpy compute performance on AMD CPU's when using Anaconda Python.
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Indexing Billions of Text Vectors
Optimizing memory-usage for approximate nearest neighbor search
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Amazon Launches Managed Cassandra Service
Managing databases at scale is never easy. One of the options to store, retrieve, and manage large amounts of structured data, including key-value and tabular formats, is Apache Cassandra. With Cassandra, you can use the expressive Cassandra Query Language (CQL) to build applications quickly. However, managing large…
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Discovering less-known Postgres v12 features
Get to know and learn how to use some less-known features of Version 12 of PostgreSQL. You'll surely discover something new for yourself.
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Trends in the San Francisco (mostly dog?) poop crisis
Oscar Wilde once said, “it’s an odd thing but anyone who disappears is said to be in San Francisco.” Indeed, with the weather, view, and diversity, San Francisco is one of the most beautiful cities in the U.S. But then, every city has a dark side, and San Francisco is no exception. San Francisco, as […]
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Personal and social information of 1.2B people discovered in data leak
Bespoke cyber investigations and dark web intelligence — threat actor attribution, asset tracing, digital forensics, and ransomware negotiation.
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AWS Data Exchange
We live in a data-intensive, data-driven world! Organizations of all types collect, store, process, analyze data and use it to inform and improve their decision-making processes. The AWS Cloud is well-suited to all of these activities; it offers vast amounts of storage, access to any conceivable amount of compute…
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CockroachDB 19.2
CockroachDB 19.2 improves latency, reliability, and usability. We’re bringing the speed of distributed transactions closer to the theoretical minimum.
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Backblaze Hard Drive Stats Q3 2019
A problem that would have been discovered in the future would now be captured by the SMART stats when the process reads that section of disk today.
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How We Built a Vectorized SQL Engine
Using vectorized processing in an execution engine makes more efficient use of modern CPUs by changing the data orientation (from rows to columns) to get more out of the CPU cache and deep instruction pipelines by operating on batches of data at a time.
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Avoiding “OR” for Better Query Performance
OR in the WHERE condition of a PostgreSQL database query is usually a cause of bad query performance. How to rewrite queries without OR.
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Time Series Prediction – A short introduction for pragmatists
Are you trying to predict time series but don't know where to start? This blog post will provide a comparison of the most prominent techniques and show you how …
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Parallel Commits: A New Atomic Commit Protocol for Distributed Transactions
Parallel Commits are an atomic commit protocol in CockroachDB. The feature promises to halve the latency of distributed transactions by performing all consensus round trips required to commit a transaction concurrently.
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Using the linear distance operator in Postgres 12 to find the closest match
Experience zero data sprawl with EDB Postgres AI. Capable of handling 30B+ trades a day and managing 50 TB.
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Building a Large-Scale Distributed Storage System Based on Raft
Guest post by Edward Huang, Co-founder & CTO of PingCAP In recent years, building a large-scale distributed storage system has become a hot topic. Distributed consensus algorithms like Paxos and Raft…