The warm, moist hard drive that is your brain may contain retrievable visual data: MindEye is a novel fMRI-to-image approach to retrieve and reconstruct viewed images from brain activity. Want to learn more? View the project page: https://
medarc-ai.github.io/mindeye/
RESEARCH
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MindEye reconstructs images from brain activity
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AI Industry Leaders Warn of Extinction Risk
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#AI Poses ‘Risk of Extinction,’ Industry Leaders Warn https://
nytimes.com/2023/05/30/tec
hnology/ai-threat-warning.html?smid=nytcore-android-share
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AI Model Draws Thoughts with 80% Accuracy
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Two researchers have created a new #AI model that can draw what you’re thinking with 80% accuracy https://
bit.ly/3FTXOoD -
High-Quality Labeled Data Critical for Safe Non-Hallucinating AI
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CEO of @SnorkelAI
, @ajratner sat w/ @IanDBarker @BetaNews to dive into the challenges of implementing AI and the growing importance of high-quality labeled data. Developing appropriate checks and training w/ domain-specific data is critical to building non-hallucinating & safe AI -
LLMU Reading Group Explores Attention Mechanism Fundamentals
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Join our first LLMU Reading Group as @SerranoAcademy delves into Attention Mechanism. This evening, May 30 @ 6PM EST https://
discord.gg/CQZawsWv?event
=1106261688468132000
… Get yourself familiarized with the topic, https://
docs.cohere.com/docs/the-atten
tion-mechanism
… See you there! -
Never Used Pandas in My Life: A Developer’s Confession
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i have a confession to make not once in my life have I used pandas
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Open-source Leaders Discuss AI Impact at Google I/O
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At @Google Connect I/O last week, Aparna Lakshmiratan, VP of Product at Snorkel AI, joined @lcastricato from
@StabilityAI
, @GuggerSylvain
from
@huggingface
, and @williamfalcon
from
@LightningAI
: some of the most successful OSS projects to discuss the impact of open-source -
UX Research Teams Growth at Meta and Airbnb Examined
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quoting
"I personally helped grow Facebook’s UXR team from a dozen to over 100, then did the same for Airbnb in the same amount of time it took Facebook/Meta to go from 100 to over 1000 researchers." The UX Research Reckoning is Here https://
bit.ly/3OR1gWt -
Sketch: AI assistant for writing code with data understanding
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GitHub – approximatelabs/sketch: AI code-writing assistant that understands data content
https://bit.ly/3BNUKYt #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Moats in AI: Why Technical Prowess and Data Aren’t Enough
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Today's (post-holiday for which there are no holidays when starting something new) issue of Supervised is about capital-M Moats and how they fit into big data and modern AI. Specifically, technical prowess and first-mover are useless, and most startups don't have capital-d Data.