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scienceentity · one source so far

foundation models

for building automation engineers

Steadyarxiv
Signal score
5
as of 12d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 5

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+6.9 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−1.8 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite5.1

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    19

    Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization

    Compares instruction- vs example-driven policies for content moderation using foundation models. · for moderation product leads, ai engineers

    arxivSteadyai46d ago
  2. 2
    16

    The Smart Buildings Challenge: Learning Foundation Models for Real-World Optimization at Scale

    Applies foundation models to optimize smart-building operations at scale. · for building automation engineers

    arxivSteadyscience12d ago
  3. 3
    10

    Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark

    Face presentation attack detection · for ai security devs

    arxivSteadyai88d ago
  4. 4
    9

    Self-supervision drives representational convergence in medical foundation models more than clinical supervision

    Improves medical models · for healthcare ai devs

    arxivSteadyai95d ago