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slides · global inventory

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Global slide inventory for the active corpus filters, with each row opening the slide detail view.

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Corpus coverage

319,975 slides

319,974 are described (100%), so the treemap can explain the corpus instead of just counting files.

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319,975
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319,974
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Slide type

Showing 319,974 described slides — 100.0% of 319,975 rendered pages

+Context & problem43,76713.7% · 6,592 docs+Data & charts72,62022.7% · 8,666 docs+Meta & navigation45,93614.4% · 9,739 docs+Recommend & act67,04121.0% · 9,324 docs+Cases & evidence31,2569.8% · 6,067 docs+Frameworks2,1230.7% · 1,232 docs+Appendix35,68211.2% · 6,614 docs+Other21,5496.7% · 5,566 docs

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Slide collection

53,581-53,640 of 319,975

filter-aware
05
The slide serves as a foundational reference for technical terms.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
06
2018 Air Street Capital The State of AI Report 20182018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
07
The slide uses a process flow diagram to illustrate the concept of transfer learning.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
08
The slide uses a technical diagram to illustrate the concept of transfer learning in AI.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
09
The slide uses ROC curves to compare algorithm performance against human experts.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
10
The slide uses two bar charts to demonstrate the performance advantage of GPUs in AI training.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
11
The slide uses two charts to demonstrate the scaling efficiency of GPU clusters in AI model training.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
12
The slide uses three distinct charts to demonstrate scaling laws: a conceptual framework, a loss-reduction chart, and a parameter-growth chart.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
13
The slide illustrates the Information Bottleneck theory, showing the evolution of layers (L1-L5) through phases A-E.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
14
The chart shows a log-scale progression of compute usage for various AI models from 2013 to 2018. The right side depicts a flywheel effect.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
15
The slide uses growth multipliers (+15X and +5X) to highlight the rapid adoption of GPU-based AI development.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
16
The slide illustrates that while GPUs are used for ML, a significant portion of their core area is dedicated to other tasks, yet they consume substantial power.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
17
Data presented in two tables (Table II and Table III) comparing resource allocation for training vs inference.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
18
The chart is a classic visualization of the end of Dennard scaling.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
19
The slide highlights the architectural shift towards memory-centric design (75% RAM) and demonstrates significant performance gains in inference speed.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
20
The chart uses multipliers (81x, 4x, 3.3x, 6.1x) to emphasize the price disparity between standard CPUs and specialized AI hardware.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
21
The slide uses a line chart to show training convergence and a bar chart to show cost efficiency.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
22
The slide features a photograph of a TPUv3 pod.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
23
Slide from State of AI 2018 report.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
24
The chart uses a combination of a bar chart for absolute revenue and a line chart for percentage share.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
25
The chart uses a green line to represent stock price over time, with a specific annotation for the 'Deep learning works starts to work' inflection point.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
26
The slide uses a combination of bulleted strategic highlights and a dual-axis bar/line chart to show financial performance.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
27
The slide uses a simple table format to segment the AI hardware market landscape.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
28
2018 Air Street Capital The State of AI Report 20182018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
29
The slide uses a combination of qualitative news clippings and quantitative financial data to support the thesis.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
30
The slide illustrates how AI models interpret visual data by identifying objects as 'nouns'.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
31
The slide uses four examples of AI mislabeling images to demonstrate the lack of 'common sense world models' in AI.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
32
Slide from state.ai 2018 report.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
33
The diagram shows a cyclical process involving taxonomy creation, crowd-acting, model training, and customer testing, with feedback loops.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
34
The slide highlights the capability of TwentyBN-trained networks compared to standard image-trained networks.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
35
DeepMind research slide from 2018 State of AI report.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
36
The diagram shows the standard RL feedback loop: Agent receives observations and rewards, and performs actions.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
37
The slide uses two charts: a line chart showing training progress over 40 days and a bar chart comparing peak Elo ratings of various Go engines.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
38
The slide includes a screenshot of the game interface and a comparison table of training infrastructure and performance metrics.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
39
The slide illustrates the 'World Models' architecture (Ha & Schmidhuber, 2018).2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
40
The chart uses a humorous, hand-drawn style to illustrate the sudden surge in research interest.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
41
The slide uses screenshots of Google Translate to show how machine learning models can perpetuate societal stereotypes.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
42
The slide uses external media headlines and a personal anecdote to illustrate the problem of algorithmic bias.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
43
The slide uses a matrix to categorize different types of algorithmic bias observed in various tech products.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
44
The comic is a reference to the 'AI-Box Experiment' thought experiment.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
45
The slide uses a visual example of a dog playing a guitar to demonstrate how explainability techniques (like saliency maps or feature attribution) reveal what a model is 'looking at' to make a prediction.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
46
The slide showcases four examples of AI-generated explanations for image-based questions, using heatmaps to highlight visual evidence.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
47
The chart is a lollipop chart showing feature importance.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
48
Shows two examples: a panda misclassified as a gibbon, and a macaw misclassified as a bookcase.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
49
The slide demonstrates adversarial machine learning, specifically targeted adversarial patches.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
50
The slide uses a visual comparison to demonstrate a security vulnerability in AI.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
51
The slide uses a chronological sequence of technical diagrams to show the progression of AI model complexity.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
52
The slide shows a bar chart of model accuracy over time (2013-2016) and a bubble chart showing accuracy vs. operations (complexity).2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
53
The slide shows two neural network cell architectures and a scatter plot comparing accuracy vs. computational cost.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
54
The slide explains the technical mechanism of federated learning using OpenMined's framework.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide uses a process flow diagram to explain a technical concept.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
56
2018 Air Street Capital The State of AI Report 20182018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
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The slide uses a choropleth map to represent talent density, supplemented by callouts for specific regional insights.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
58
The slide uses a color-coded choropleth map to visualize talent density.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
59
The map highlights the US, Canada, UK, and China in red, with flow lines connecting the US to the other three countries.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
60
The chart uses house-shaped bars to represent headcount. Data points: Facebook (300), Tencent (400), Baidu (450), Google (1400), IBM (900), Microsoft (1000).2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
61
The data is presented as a simple list of counts and institution names.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
62
The chart illustrates the increasing concentration of AI research talent at Google/DeepMind.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
63
2018 Air Street Capital The State of AI Report 20182018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
64
The slide highlights the concentration of AI research talent in a few top-tier academic institutions and major tech corporations.2018 Air Street Capital The State of AI Report 2018 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit