/
Navigation
C
Chronicles
Browse all articles
C
E
Explore
Semantic exploration
E
R
Research
Entity momentum
R
N
Nexus
Correlations & relationships
N
~
Story Arc
Topic evolution
S
Drift Map
Semantic trajectory animation
D
P
Posts
Analysis & commentary
P
Browse
@
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
?
Concept Search
Semantic similarity search
!
High Impact Stories
Top coverage by position
+
Sentiment Analysis
Positive/negative coverage
*
Anomaly Detection
Unusual coverage patterns
Analysis
vs
Rivalry Report
Compare two entities head-to-head
/\
Semantic Pivots
Narrative discontinuities
!!
Crisis Response
Event recovery patterns
Connected
Nav: C E R N
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

days · browse · Enter similar · o open

A look at BirdVoxDetect, an ML-powered open-source software that ornithologists can use and adapt to detect flight calls from songbirds in audio recordings

A small songbird soars above Ithaca, New York, on a September night.  He is one of 4 billion birds, a great annual river of feathered migration across North America. Bluesky: @christianelliott.me Bluesky: Christian Elliott / @christianelliott.me : New from me today in @technologyreview.com: for decades, scientists have dreamed of tracking migratory birds by listening in on their short, species-specific flight calls.  Now, a new machine learning tool is unlocking a treasure trove of auditory data for the first time.  🐦🎙️ …

MIT Technology Review