πŸ€– Smarter Together: RPA Meets AI for Unmatched Efficiency

RPA and AI are revolutionizing business processes through intelligent automation and real-time decision-making.
πŸš€ Boost productivity, reduce errors, and embrace the future of automation.

πŸ“– Dive deeperβ€”read the full blog to explore real-world impact! πŸ‘‰

https://neuronus.net/en/blog/robotic-process-automation-and-ai

#RPA #AI #RoboticsProcessAutomation #ArtificialIntelligence #CollaborationOfRPAandAI #MachineLearnig #BusinessGrowth #Neuronus

This article by Kamil Rzechowski explains how to set up and use a dev container extension for VSCode πŸ’‘

#ml #machinelearnig #ReasonFieldLab

https://softwaremill.com/dev-containers-in-machine-learning/

Dev containers in Machine Learning | SoftwareMill

Setting up and using a dev container extension for VSCode for development purposes.

SoftwareMill

πŸ€–πŸ’‘ RPA and AI Collaboration: A New Era of Productivity πŸŒŸπŸ“ˆ
RPA and AI, together are creating intelligent automation with combination of machine learning and automation. RPA(Robotic Process Automation) and AI(Artificial Intelligence) are transforming the way business operate.
Explore the details below to see how this powerful integration is boosting productivity! πŸš€πŸ”πŸ‘‰

https://neuronus.net/robotic-process-automation-and-ai/

#RPA #AI #RoboticsProcessAutomation #MachineLearnig #BusinessGrowth #Neuronus #NeuronusBlogs

Robotic Process Automation and AI - Neuronus

Introduction Technology is ever-evolving and new trends are being introduced at a rapid pace. There is also a multi-disciplinary and interdisciplinary approach to introducing hybrid technologies. This not only broadens the spectrum of technology but also provides a reformed outlook on traditional methods. With the latest advancements, it is becoming difficult to keep up with

Neuronus

Has anyone got references (or ideas/recommendations) for how to perform #data #augmentation on #scrnaseq data (to use in training #ann)?

This is the only paper I could find, but maybe I am not searching for the right thing...

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592700/

#machinelearnig #biology

Scaling cross-tissue single-cell annotation models

Identifying cellular identities (both novel and well-studied) is one of the key use cases in single-cell transcriptomics. While supervised machine learning has been leveraged to automate cell annotation predictions for some time, there has been relatively ...

PubMed Central (PMC)

HotChips 35 is coming pretty soon. A lot of AI/ML topics there. #IEEE members get registration discount

https://hotchips.org/advance-program/

#hc35 #hotchips #hpc #MachineLearnig #networking #interconnect

Advance Program

A Symposium on High Performance Chips

I am seeing a new way of crafting #phishing emails that will probably make fail most of the #antispam systems. The email body is followed by a long set of blank space then proposing a text that looks very legitimate and contains information that may be present in many business emails. It's making throughout outlook filters, I wonder if it's a way of poisoning and biasing #AI or #MachineLearnig algorithms so they start kicking out false positives.

The TargetEncoder PR has been merged into the scikit-learn main branch!

https://github.com/scikit-learn/scikit-learn/pull/25334

It's a very efficient way to deal with high cardinality categorical variables for supervised machine learning tasks. See the following quick tutorial to compare its performance with one-hot encoding, ordinal encoding and native support of categorical variables in Gradient Boosted Trees:

https://scikit-learn.org/dev/auto_examples/preprocessing/plot_target_encoder.html

It will be part of scikit-learn 1.3.

#sklearn #PyData #SciPy #MachineLearnig #Python

ENH Adds TargetEncoder by thomasjpfan Β· Pull Request #25334 Β· scikit-learn/scikit-learn

Reference Issues/PRs Closes #5853 Closes #9614 Supersedes #17323 Fixes or at least related to #24967 What does this implement/fix? Explain your changes. This PR implements a target encoder which u...

GitHub

I'm working on a free YouTube end-to-end course to simplify working with #OpenAI for both seasoned and new software engineers.

Stay tuned!

#chatgpt #blazor #dotnet #csharp #openai #artificialgeneralintelligence #machinelearnig

I'm starting to feel more and more convinced of the usefulness of model pretrained on a classification task on ImageNet, especially beyond a certain accuracy #machinelearnig #computervison

Woah, what a great post detailing 8-bit matrix multiplication for transformers at scale using Hugging Face Transformers, Accelerate and bitsandbytes! Including notebooks to run T5-11B and BLOOM in Google Colab. https://huggingface.co/blog/hf-bitsandbytes-integration

#AI #nlproc #machinelearnig #DataScience

A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using transformers, accelerate and bitsandbytes

We’re on a journey to advance and democratize artificial intelligence through open source and open science.