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