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The World This Week

In the world of AI

Who Is Working to End the Threat of AI-Generated Deepfakes, and Why Is It So Difficult?
MIT researchers say they have a way to guard pictures from AI image generators, but some experts argue that no fix can stop the march of progress.
Characterizing Emergent Phenomena in Large Language Models
Multi-layered Mapping of Brain Tissue via Segmentation Guided Contrastive Learning
Generating Human-level Text with Contrastive Search in Transformers 🤗
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Ensuring AI works with the right dose of curiosity
A new algorithm makes headway in solving the problem of exploration vs. exploitation in reinforcement learning. Developed by MIT CSAIL researchers, it attempts to make decision-making more efficient.
Study assesses the quality of AI literary translations by comparing them with human translations
Recent advancements in the field of machine learning (ML) have greatly improved the quality of automatic translation tools. At present, these tools are primarily used to translate basic sentences, as well as short texts or unofficial documents.
Thomson Reuters to acquire tax automation company SurePrep for $500M
Thomson Reuters has announced plans to acquire tax automation software company SurePrep in an all-cash deal worth $500 million.
Amazon debuts Sparrow, a new bin-picking robot arm
The new arm is a more sophisticated take on the company’s existing robotics, adding the ability to pick and place specific objects from bins.
OpenAI leads $23.5M round in Mem, an AI-powered note-taking app
Mem, an AI-powered note-taking app, has raised capital from OpenAI’s startup fund -- one of the first companies to do so.

Medium Articles

Animate your favorite AI rendering
This website creates a lifelike motion video of your AI rendering. The AI is designed to work with only faces on heads. You can view the…
How Quantum Classifiers work part1(Advanced ML)
Certified Robustness of Quantum Classifiers against Adversarial Examples through QuantumNoise(arXiv)
How Quantum Classifiers work part2(Advanced ML)
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines(arXiv)
Working with Hilbert Spaces part1(Computation)
Axioms for the category of Hilbert spaces and linear contraction(arXiv)
Ensuring AI works with the right dose of curiosity
A new algorithm makes headway in solving the problem of exploration vs. exploitation in reinforcement learning. Developed by MIT CSAIL researchers, it attempts to make decision-making more efficient.
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Last Week's Posts

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Cellular Automata
If you like our work, please consider supporting us so we can keep doing what we do. And as a current subscriber, enjoy this nice discount! Get 45% off forever Also: if you haven’t yet, follow us on Twitter, TikTok, or YouTube! A cellular automaton is a self-reproducing system
Game of life
Game of life
Cellular Neural Networks
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Winograd schema challenge
Turin test’s better version
Optimized Stable Diffusion
GitHub repo

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