RESEARCH BASE

Search 3,717 documents across 34 fields — every claim tier-rated by evidence

3,717 documents 34 sections 47,686 citations 34,596+ keywords indexed 4 evidence tiers

55 results for "learning" — page 3 of 3

ZE_5_20 Verified Ethics & Applied Philosophy

ZE_5_20 — Ethics of Artificial Intelligence

The ethics of artificial intelligence addresses the moral, social, and existential challenges arising from the development and deployment of increasingly powerful AI systems. [KEY FINDING] Core issues span three horizons

AI ethics algorithmic bias autonomous weapons alignment problem explainability superintelligence
S_4_13 Verified Future Technology

S_4_13 — Autonomous Vehicles: Self-Driving, LIDAR, and the Mobility Revolution

Autonomous vehicles (AVs) — automobiles, trucks, and shuttles that use sensors, artificial intelligence, and control systems to navigate without human intervention — represent one of the most anticipated (and overpromise

autonomous vehicle self-driving car LIDAR radar computer vision SAE levels
S_1_05 Future Technology

S_1_05 — Digital Archaeology — AI, LiDAR, Remote Sensing, and the Discovery Revolution

Digital technologies are revolutionizing archaeology at a pace unprecedented in the discipline's history. LiDAR (Light Detection and Ranging) surveys have revealed entire hidden urban landscapes beneath forest canopy — f

digital archaeology LiDAR remote sensing AI archaeology machine learning satellite imagery
S_1_04 Future Technology

S_1_04 — Quantum Computing and Information Processing Frontiers

Quantum computing exploits the principles of quantum mechanics — superposition (a qubit existing in multiple states simultaneously), entanglement (correlated states across distance), and interference (constructive/destru

quantum computing qubit superposition entanglement quantum gate quantum circuit
S_5_07 Verified Future Technology

S_5_07 — Future of Education Technology

Education technology (EdTech) applies digital tools to learning and instruction. MOOCs (Massive Open Online Courses): launched with high ambitions — Coursera (Stanford, 2012), edX (MIT/Harvard, 2012), Udacity (Stanford,

education technology EdTech online learning MOOC adaptive learning AI tutoring
V_3_11 Mathematics & Information

V_3_11 — Mathematical Optimization: Linear Programming, Convex Methods, and Gradient Descent

Mathematical optimization — finding the best solution from a set of feasible alternatives — is one of the most practically impactful branches of mathematics, with applications spanning logistics, finance, engineering, ma

mathematical optimization linear programming simplex method convex optimization gradient descent stochastic gradient descent
G_4_05 Modern Frameworks

G_4_05 — Biomimicry — Ancient and Modern Learning from Nature

Biomimicry—the practice of designing technologies, materials, and systems inspired by biological organisms and natural processes—represents one of the most productive intersections of science, engineering, and ecology. F

biomimicry biomimetics bioinspiration termite mound lotus effect spider silk
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
T_3_14 Verified Psychology & Social

T_3_14 — Cognitive Load Theory: Working Memory, Schema Acquisition, and Instructional Design

Cognitive Load Theory (CLT) — developed by John Sweller (University of New South Wales, 1988–present) — is the most influential theory connecting cognitive architecture (specifically the severe limitations of working mem

cognitive load theory CLT Sweller working memory intrinsic load extraneous load
ZD_2_15 Verified Information & Computation

ZD_2_15 — Transformer Architecture: Self-Attention and the Foundation of Modern AI

The transformer is a neural network architecture introduced in 2017 that replaced recurrent and convolutional models as the dominant paradigm in artificial intelligence. Its core innovation — the self-attention mechanism

transformer self-attention multi-head attention positional encoding encoder-decoder BERT
ZD_2_12 Verified Information & Computation

ZD_2_12 — Generative AI: Large Language Models, Diffusion, and the Transformer Revolution

Generative AI refers to artificial intelligence systems capable of creating new content — text, images, audio, video, code, 3D models — that is novel, coherent, and often indistinguishable from human-created work. The fi

generative AI large language model LLM GPT transformer diffusion model
ZD_2_17 Credible Information & Computation

ZD_2_17 — AI Alignment & Existential Risk

AI alignment — the challenge of ensuring artificial intelligence systems pursue goals consistent with human values and intentions — has emerged as one of the defining technical and philosophical problems of the 21st cent

AI alignment existential risk superintelligence value alignment instrumental convergence corrigibility
ZD_2_09 Verified Information & Computation

ZD_2_09 — Recommender Systems: Collaborative Filtering, Content-Based, and Hybrid Approaches

Recommender systems (RecSys) are algorithms and architectures that predict user preferences and suggest relevant items — products, movies, music, news articles, social media posts, job listings, potential partners — from

recommender systems collaborative filtering content-based filtering matrix factorization Netflix Prize personalization
R_2_12 Verified Biology & Evolution

R_2_12 — Tool Use in Animals: Corvids, Primates, Dolphins, and Cognitive Evolution

Tool use — the employment of an external object to alter the form, position, or condition of another object or organism — was once considered uniquely human, a defining cognitive threshold separating Homo sapiens from al

tool use animal cognition New Caledonian crow chimpanzee dolphin sea otter
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