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2019 Air Street Capital The State of AI Report 20192019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pivot1 hit
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The slide uses a color-coded bar (green, orange, red) to represent the status of predictions, acting as a visual indicator of success.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pivot1 hit
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2019 Air Street Capital The State of AI Report 20192019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)1 hit
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The chart shows the progression of various AI models' scores over time, highlighting the jump in performance with RND.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide highlights the transition from supervised learning to multi-agent reinforcement learning.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The chart shows Elo progression over training steps, comparing FTW (For The Win) agents against human benchmarks.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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Includes a technical diagram of the OpenAI Five training architecture.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The chart shows a clear logarithmic relationship between training compute (PF/s days) and model performance.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide highlights a specific AI research methodology (Play-LMP) from the 2019 State of AI report.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide highlights two specific research examples: BLUE (UC Berkeley) and OpenAI's robotic hand manipulation system.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
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The slide uses technical diagrams to illustrate RL concepts like memory-based exploration and skill-based discriminator training.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
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The slide compares PlaNet's performance against established RL benchmarks (A3C, D4PG) using both a summary table and performance charts.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
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The slide describes the technical architecture and workflow of the Horizon platform.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
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The slide uses a process flow diagram to explain the technical methodology of AlphaFold.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)1 hit
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The slide uses a bar chart with Elmo-themed icons to illustrate performance gains over previous state-of-the-art models.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide serves as a demonstration of the capabilities of pretrained language models in 2019.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide tracks the evolution of NLP model performance against the GLUE benchmark, noting the introduction of SUPERglue due to rapid progress.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide highlights a specific research paper's methodology and performance results.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide references the Cyc project and provides examples of inferential relations (PersonX leaves without PersonY, PersonX wins the title) and a visual map of causal relations.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide uses a process diagram to explain the technical workflow of Federated Learning rounds.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)1 hit
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The diagram shows three layers of ML systems (Generic, Automotive, Network) and their data flow from physical domain to digital representation to model application.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)1 hit
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The slide illustrates a specific medical AI application developed by DeepMind and Moorfields Eye Hospital.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide presents ROC and PR curves comparing model performance against individual and average cardiologist performance across three specific arrhythmia classes.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide uses ROC curves to compare model performance against human radiologists across five medical conditions.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide details a specific medical research breakthrough involving brain-computer interfaces.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide compares a neural network (uNN) against a Support Vector Machine (SVM) baseline in a medical brain-computer interface application.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide highlights the application of neural networks and Monte Carlo tree search in chemistry.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide compares LEAF against existing benchmarks like CheXNet and Google AutoML.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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Slide contains two tables comparing various neural network models across metrics like parameters, latency, and accuracy.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide uses a before-and-after comparison to demonstrate technological progress in AI image generation.2019 Air Street Capital The State of AI Report 2019 · Nathan Benaich and Ian Hogarth
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit