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The World This Week
In the world of AI
Startups, Businesses and Enterprise
How Artificial Intelligence is helping the BFSI sector
Artificial Intelligence has helped the Banking, Finance and Insurance sectors in a big way. Numerous institutions are doing down with the…
FutureAnalytica
Stable Diffusion with 🧨 Diffusers
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Seeing in the dark: Google researchers use AI to create novel HDR views from noisy raw images
Google researchers have used Neural Radiance Fields (NeRF) and high dynamic range raw input data to create HDR view synthesis with extremely low noise and high levels of detail.
Jeremy Gray
AI Could Make Air Conditioners 10x Better
Hyperganic is using AI to design new heat exchangers that can be 3D-printed in metal
Prachi Patel
What is neuromorphic computing and why you should care about it?
In 1967, an American engineer and scientist Carver Mead met the biophysicist Max Delbrück. As they spent time, Delbrück lit a small…
Saurav Pawar
Research Papers and Open Source
On the Expressivity of Markov Reward
Our main results prove that while reward can express many tasks, there exist instances of each task type that no Markov reward function can capture. We then provide a set of polynomial-time algorithms that construct a reward function which allows an agent to optimize tasks of each of these three typ…
Advancing conservation with AI-based facial recognition of turtles
We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a…
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Standard diffusion models involve an image transform -- adding Gaussian noise-- and an image restoration operator that inverts this degradation. We observethat the generative behavior of diffusion models is not strongly dependent onthe choice of image degradation, and in fact an entire family of…
Arpit Bansal
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification
Cloth-changing person re-identification (CC-ReID), which aims to match personidentities under clothing changes, is a new rising research topic in recentyears. However, typical biometrics-based CC-ReID methods often requirecumbersome pose or body part estimators to learn cloth-irrelevant features…
Jianbing WuSupervised Dimensionality Reduction and Classification with Convolutional Autoencoders
The joint optimization of the reconstruction and classification error is ahard non convex problem, especially when a non linear mapping is utilized. Inorder to overcome this obstacle, a novel optimization strategy is proposed, inwhich a Convolutional Autoencoder for dimensionality reduction and a…
Ioannis A. NellasAI And The Limits Of Language | NOEMA
An artificial intelligence system trained on words and sentences alone will never approximate human understanding.
Jacob Browning
How to use Kähler cones in your theorems(Differential Geometry)
Openness of uniform K-stability in the Kähler cone(arXiv)
Monodeep Mukherjee
In case you missed
Last Week's Posts
In case you missed the last week's posts, please read them here.
Monday:
Prompt Engineering - 4-step formulae
Learn one topic a day. Every day!
Tuesday:
Prompts - Text to Image
If you like our work, please consider supporting us so we can keep doing what we do. And for this month, enjoy this nice discount! Get 54% off forever Also: if you haven’t yet, follow us on Twitter, TikTok, or YouTube! Since the arrival of DALL-E, Midjourney and stability,
Wednesday:
Regularization
Thursday:
Encoders in NLP
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 54% off forever Also: if you haven’t yet, follow us on Twitter, TikTok, or YouTube! An encoder is a component of a
Friday:
Decoders
Decoders are used in various natural language processing tasks such as machine translation, text summarization, and question answering. They are also used in transformer-based models. Decoders take an input sequence and produce an output sequence. In machine translation, the input is a source sente…
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