AI Essentials

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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

AI Essentials

Top news of the week: 02.02.2021.

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@BaiduResearch shared
On Jan 29, 2021
RT @kdnuggets: Baidu Research: 10 Technology Trends in 2021 - KDnuggets https://t.co/AmfDg5pYvF https://t.co/DMmK0DgBNX
Open
Baidu Research: 10 Technology Trends in 2021

Baidu Research: 10 Technology Trends in 2021

Understanding future technology trends may never have been as important as it is today. Check out the prediction of the 10 technology trends in 2021 from Baidu Research.

@peteskomoroch shared
On Feb 1, 2021
RT @VentureBeat: Databricks raises $1 billion funding round at $28 billion valuation https://t.co/hT4dqlKcVx by @kharijohnson
Open
Databricks raises $1 billion funding round at $28 billion valuation

Databricks raises $1 billion funding round at $28 billion valuation

Data analysis and AI company Databricks has raised a $1 billion funding round to bring its valuation to $28 billion.

@peteskomoroch shared
On Jan 26, 2021
RT @whoisnnamdi: Pumped to partner with @emaxerrno and the @VectorizedIO team to power the future of real-time infrastructure! @arifj and I share why @lightspeedvp is so excited to lead the Seed and Series A here: https://t.co/OXrk7AFqRC
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Vectorized: free and source available, cloud native infrastructure for real-time applications

Vectorized: free and source available, cloud native infrastructure for real-time applications

Over the past decade, we have seen an incredible shift to the “real-time economy.”

@fastml_extra shared
On Jan 31, 2021
RT @317070: We wrote a blogpost on why so many machine learning algorithms are so hard to tune, and how an old Nips'88 paper shows how to fix it. It has some nice graphics to visually explain what is going wrong, and the proposed solution is simple to implement. https://t.co/fRd7aXJLaV https://t.co/1zq46pbSWM
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Why machine learning algorithms are hard to tune and how to fix it

Why machine learning algorithms are hard to tune and how to fix it

In machine learning, linear combinations of losses are all over the place. In fact, they are commonly used as the standard approach, despite that they are a perilous area full of dicey ...

@MSFTResearch shared
On Jan 30, 2021
Vision-language pretraining methods are quickly advancing in novel object captioning, especially useful in real-world image caption generation. In a webinar with Lijuan Wang and Xiaowei Hu, explore state-of-the-art methods VIVO and OSCAR. Register now: https://t.co/NYqkV7YUS8
Open
AI advances in image captioning: Describing images as well as people do

AI advances in image captioning: Describing images as well as people do

What you’ll learn: How latest VLP approaches help to improve captioning performance by pretraining on large-scale image-text pairs, then fine-tuning on task-specific small …

@AlisonBLowndes shared
On Jan 27, 2021
RT @_willfalcon: Still haven’t checked out @PyTorchLightnin? If you’re still using keras, tensorflow, or simply haven’t refactored your pytorch code, doesn’t hurt to see what it’s like in the lightning world! https://t.co/mi17QKro2L
Open
Introduction to Deep Learning with PyTorch Lightning

Introduction to Deep Learning with PyTorch Lightning

This talk is an introduction to Deep Learning with PyTorch Lightning. We will briefly overview of Deep Learning fundamentals, and then learn how to easily implement various deep learning ...

@kchonyc shared
On Jan 28, 2021
the code is available at https://t.co/ROCtL23F8m, and apparently the pretrained model is only available upon request.
Open
Mirai: Mammography-based model for breast cancer risk

Mirai: Mammography-based model for breast cancer risk

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk. - yala/Mirai

@mxlearn shared
On Jan 29, 2021
[D]Is Nonlinear Gradient Temporal-Difference Learning only for on-policy evaluation? https://t.co/6mwpdIYt1e
Open
[D]Is Nonlinear Gradient Temporal-Difference Learning only for on-policy evaluation?

[D]Is Nonlinear Gradient Temporal-Difference Learning only for on-policy evaluation?

1 vote and 0 comments so far on Reddit

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