Forwarded from 🇺🇦 Go performance channel (Oleg)
go.dev
Go’s Sweet 16 - The Go Programming Language
Happy Birthday, Go!
❤1
Discovered that this package uses Rust now: https://cryptography.io/en/latest/installation/#rust
#rust #python
#rust #python
Forwarded from Yehor Smoliakov
Communications of the ACM
As Good as a Coin Toss: Human Detection of AI-Generated Content | Communications of the ACM
One of today’s principal defenses against weaponized synthetic media continues to
be the ability of the targeted individual to visually or auditorily recognize AI-generated
content when they encounter it. However, as the realism of synthetic media ... Dek…
be the ability of the targeted individual to visually or auditorily recognize AI-generated
content when they encounter it. However, as the realism of synthetic media ... Dek…
Feed-Master
Show HN: A Mypy-Compatible Language Server Written in Rust, Now Open Source
checked it, good tool
https://medium.com/plain-golang-tutorial/analyzing-go-1-26-runtime-free-instant-memory-recycling-without-gc-for-2x-speed-6e42edb709c4
#go
#go
Medium
Analyzing Go 1.26 runtime.free – Instant Memory Recycling Without GC for 2X Speed
Goodbye GC Pauses! Go Explores a “Semi-Manual” Memory Path: From Arena to runtime.free. Dissecting Compiler Auto-Freeing
👍1
Forwarded from 🇺🇦 Go performance channel (Oleg)
strconv: replace Ryu ftoa with Dragonbox
The new implementation has been fuzz-tested against the current
Ryu implementation in addition to the existing test suite.
Benchmarks show at least ~15-20% performance improvement.
https://go-review.googlesource.com/c/go/+/700075 #golang
The new implementation has been fuzz-tested against the current
Ryu implementation in addition to the existing test suite.
Benchmarks show at least ~15-20% performance improvement.
https://go-review.googlesource.com/c/go/+/700075 #golang
Forwarded from UNLP 2026
UNLP 2026 invites papers on Speech, Multimodality, and OCR 🤩
Here’s an exciting update: At UNLP 2026, we are introducing a new track dedicated to speech, multimodal applications, and OCR. We are looking for papers researching challenges related to:
👉Handwritten text recognition
👉Spontaneous speech recognition
👉Creation of multimodal & speech datasets
👉Wherever your passion lies with regard to our new track
We accept papers focused on the Ukrainian and Crimean Tatar languages!
Learn more about all UNLP tracks and how to submit your papers here: https://unlp.org.ua/call-for-papers/.
Here’s an exciting update: At UNLP 2026, we are introducing a new track dedicated to speech, multimodal applications, and OCR. We are looking for papers researching challenges related to:
👉Handwritten text recognition
👉Spontaneous speech recognition
👉Creation of multimodal & speech datasets
👉Wherever your passion lies with regard to our new track
We accept papers focused on the Ukrainian and Crimean Tatar languages!
Learn more about all UNLP tracks and how to submit your papers here: https://unlp.org.ua/call-for-papers/.