AI Essentials

Research

Discover how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy thanks to expert articles that include discussion on the potential, limits and consequences of AI

Top news of the week: 03.06.2021.

Machine learning
Learning
Scientific method
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Stanford University

Research

@kchonyc shared
On Jun 2, 2021
i wrote about a potential of having a reverse GPT-3 for creating prompts earlier in https://t.co/zt5DEgGqZp. i want to believe this blog post contributed to this recent work from BAAI: https://t.co/l1B2RUXRNK :) (probably not 😂) https://t.co/n5DKOCuKvk
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Chinese AI lab challenges Google, OpenAI with a model of 1.75 trillion parameters

Chinese AI lab challenges Google, OpenAI with a model of 1.75 trillion parameters

The model is trained on Chinese supercomputers and boasts 10 times the parameters of OpenAI’s GPT-3.

@mxlearn shared
On May 29, 2021
[N] Anthropic is the new AI research outfit from OpenAI’s Dario Amodei, and it has $124M to burn https://t.co/2khDAGx7w4
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@WIREDScience shared
On Jun 2, 2021
Disease surveillance schemes to catch the next rising virus already exist—they’re just not communicating with each other. https://t.co/H3A0st2NqL
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The UK Has a Plan for a New ‘Pandemic Radar’ System

The UK Has a Plan for a New ‘Pandemic Radar’ System

Disease surveillance schemes to catch the next rising virus already exist—they’re just not communicating with each other.

@jackclarkSF shared
On May 28, 2021
RT @KelseyTuoc: Exclusive: In December, a bunch of AI safety researchers at OpenAI left. Ever since then I've been wondering what they're up to. Today, they're announcing the launch of Anthropic, a $124million Series A and a research program: https://t.co/ZBoynRzC9e
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WHAT WE'RE READING

WHAT WE'RE READING

In recent years, artificial intelligence researchers have built impressive machine learning systems that have gotten good at translation, image generation, playing video games, …

@mxlearn shared
On Jun 1, 2021
[N] Synthetic Data Engineering Platform Open for Beta https://t.co/UO5ieNxPcS
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@MSFTResearch shared
On Jun 2, 2021
Tune in to the #MSRPodcast—the economics edition! Microsoft researchers Greg Lewis and @HuntAllcott discuss causal machine learning’s impact on research in the field and how EconML can help economists estimate heterogeneous treatment effects: https://t.co/vPT1dZ25Uk
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Econ2: Causal machine learning, data interpretability, and online platform markets featuring Hunt Allcott and Greg Lewis

Econ2: Causal machine learning, data interpretability, and online platform markets featuring Hunt Allcott and Greg Lewis

Episode 122 | June 2, 2021 - In the world of economics, researchers at Microsoft are examining a range of complex systems—from those that impact the technologies we use to those that inform ...

@stanfordnlp shared
On Jun 2, 2021
RT @Schropes: Job alert! (Take my job!) Apply NLP towards legal/policy questions at @StanfordLaw with Prof Julian Nyarko: https://t.co/PSnd4gkGIe Full-time and starts this summer. Apply soon– decision rolling. Please RT/pass along!
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Examples of Current Projects

Examples of Current Projects

Julian Nyarko is an assistant professor at Stanford Law School who applies tools from natural language processing and machine learning to legal research questions. This full-time …

@demishassabis shared
On May 28, 2021
RT @DeepMind: Introducing AndroidEnv, an open-ended platform for training agents on Android apps and games. With a universal touchscreen interface, access to the entire OS, and a number of ready-to-use tasks, AndroidEnv is a promising domain for RL research: https://t.co/MZIYOwxlnT https://t.co/godk9IEKx5
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AndroidEnv: The Android Learning Environment

AndroidEnv: The Android Learning Environment

AndroidEnv is a platform that allows agents to interact with an Android device and solve custom tasks built on top of the Android OS.