RESEARCH BASE

Search 3,721 documents across 34 fields — every claim tier-rated by evidence

3,721 Documents 34 Sections 43,625 Citations 34,852 Keywords Indexed 4 Evidence Tiers

3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.

17 results for "on-device inference"

ZD_5_12 Verified Information & Computation

ZD_5_12 — Edge AI and TinyML: On-Device Machine Learning and Embedded Intelligence

Edge AI is the deployment of artificial intelligence algorithms on devices at the "edge" of the network — smartphones, embedded systems, cameras, sensors, wearables, industrial controllers, autonomous vehicles, and drone

edge AI TinyML on-device inference IoT embedded ML TensorFlow Lite
G_2_03 Verified Modern Frameworks

G_2_03 — Bayesian Reasoning and Archaeological Inference

Bayesian reasoning — the systematic updating of probabilities for hypotheses as new evidence is acquired — has transformed archaeology, chronology, and the evaluation of disputed historical claims since the 1990s. At its

Bayesian inference Bayes theorem prior probability posterior likelihood radiocarbon calibration
V_4_25 Verified Mathematics & Information

V_4_25 — Bayesian Inference: Probability as Rational Belief Updating

Bayesian inference — the mathematical framework for updating beliefs in light of evidence using Bayes' theorem — has become one of the most powerful and contested ideas in modern science. Named after Reverend Thomas Baye

bayesian inference bayes theorem prior probability posterior probability likelihood bayesian statistics
V_4_27 Verified Mathematics & Information

V_4_27 — Bayesian Inference: Probabilistic Reasoning from Bayes to Machine Learning

Bayesian inference — the mathematical framework for updating beliefs in light of evidence — has become the dominant paradigm in statistics, machine learning, cognitive science, and philosophy of science. Named after Reve

bayesian inference bayes theorem probability prior posterior machine learning
V_3_21 Verified Mathematics & Information

V_3_21 — Bayesian Statistics Revolution

Bayesian statistics — the framework for updating probability estimates as new evidence is acquired, grounded in Bayes' theorem — has undergone a dramatic resurgence since the late 20th century, transforming from a margin

Bayesian statistics Bayes theorem prior probability posterior Thomas Bayes Laplace
K_1_03 Verified Consciousness

K_1_03 — Free Energy Principle and Predictive Processing

The Free Energy Principle (FEP), developed by neuroscientist Karl Friston (2006-present), is one of the most ambitious theoretical frameworks in 21st-century science: it attempts to explain the EXISTENCE, BEHAVIOR, and C

free energy principle FEP Karl Friston predictive processing predictive coding active inference
K_1_06 Credible Consciousness

K_1_06 — Predictive Processing and Consciousness

Predictive processing (PP) is a unifying framework in cognitive neuroscience proposing that the brain is fundamentally a prediction machine — it continuously generates top-down predictions of incoming sensory input and u

predictive processing predictive coding Bayesian brain Karl Friston Andy Clark Jakob Hohwy
K_2_05 Credible Consciousness

K_2_05 — Unconscious Processing

The cognitive unconscious — mental processes that influence behavior, emotion, and decision-making without reaching conscious awareness — is one of the most empirically robust phenomena in psychology and neuroscience. Fa

unconscious processing subliminal perception implicit memory priming blindsight automatic processing
K_5_02 Verified Consciousness

K_5_02 — Pain, Consciousness, and the Nature of Suffering

Pain is one of the most philosophically revealing phenomena in consciousness studies: it is simultaneously a sensory detection system, an emotional experience, a cognitive evaluation, and a social communication — and the

pain consciousness suffering neuroscience pain matrix neuromatrix theory Melzack gate control affective pain
K_5_13 Credible Consciousness

K_5_13 — Integrated World Models: Bayesian Brain and Consciousness

The Bayesian brain hypothesis proposes that the brain is fundamentally a prediction machine — it constructs and maintains internal generative models of the world (including the body), uses these models to generate predic

Bayesian brain predictive processing predictive coding free energy principle Friston Helmholtz
ZC_5_16 Verified Social Science

ZC_5_16 — Computational Social Science: Big Data, Agent-Based Models, and Digital Behavioral Analysis

Computational social science (CSS) is the interdisciplinary field that applies computational methods — machine learning, natural language processing, network analysis, agent-based modeling, and large-scale data mining —

computational social science big data agent-based modeling social network analysis digital trace data natural language processing
ZD_2_16 Credible Information & Computation

ZD_2_16 — Federated Learning & Privacy-Preserving ML

Federated learning (FL) is a machine learning paradigm in which a model is trained across multiple decentralized devices or servers holding local data samples, without exchanging the raw data — the model comes to the dat

federated learning privacy-preserving machine learning differential privacy Google Brendan McMahan data privacy
L_1_09 Verified Genetics & Origins

L_1_09 — Ghost Populations & Missing Archaic Lineages

Ghost populations are human groups whose existence is inferred from statistical signatures in modern or ancient genomes rather than from direct fossil or archaeological evidence. The term reflects a central challenge of

ghost population archaic introgression missing lineage unsampled population West African introgression superarchaic
P_3_01 Verified Philosophy & Meaning

P_3_01 — Epistemology — How Do We Know What We Know?

Epistemology — the branch of philosophy concerned with the nature, sources, and limits of knowledge — is arguably the most foundational discipline for any research project that evaluates claims across time, culture, and

epistemology empiricism rationalism Kant Bayesian inference falsificationism
P_4_19 Credible Philosophy & Meaning

P_4_19 — Indian Logic Traditions

The Indian traditions of logic and epistemology (pramāṇa-śāstra) represent one of the most sophisticated and independently developed systems of formal reasoning in human intellectual history, spanning over two millennia

Indian logic Nyaya pramana anumana inference Dignaga
P_5_02 Verified Philosophy & Meaning

P_5_02 — Computational Phylogenetics of Mythology

This document examines Computational Phylogenetics of Mythology, a topic within the Philosophy Meaning research area. Key areas of investigation include The Traditional Approach: Comparative Mythology, The Biological Ana

phylogenetics mythology Yuri Berezkin Julien d'Huy Michael Witzel Laurasian
S_1_15 Verified Future Technology

S_1_15 — Edge Computing: Distributed Intelligence and Fog Networks

Edge computing — processing data near the source of generation (at the "edge" of the network) rather than transmitting everything to centralized cloud data centers — addresses three fundamental limitations of cloud-centr

edge computing fog computing cloud computing latency CDN content delivery network