AI - Applied Use Cases


WEEKLY REVIEW


Trends


Top hashtags

Top influencers

johnchavens
AINowInstitute
AI_TechNews
DeepMindAI
MIT_CSAIL
Miles_Brundage
NathanBenaich
OpenAI
SilverJacket

Top sources

arxiv.org
ainowinstitute.org
data.blog
lareviewofbooks.org
openai.com
qz.com
cloudcomputing-news.net
iftf.org
polyai.com

Get updates live! Follow us on

Choose your newsletters

News

PyTorch 1.3 adds mobile, privacy, quantization, and named tensors

On Oct 10, 2019
@math_rachel shared
RT @ylecun: PyTorch 1.3 is live! Mobile device deployment, model quantization, named tensors, crypto, model interpretability, detectron2... https://t.co/yYQoJqbeUi https://t.co/XbQ08r2c8B
Open

The release of PyTorch 1.3 includes support for model deployment to mobile devices, quantization, and front-end improvements, like the ability to name tensors. We’re also launching tools and libraries for improved model interpretability and multimodal development.

ai.facebook.com
On Oct 10, 2019
@math_rachel shared
RT @ylecun: PyTorch 1.3 is live! Mobile device deployment, model quantization, named tensors, crypto, model interpretability, detectron2... https://t.co/yYQoJqbeUi https://t.co/XbQ08r2c8B
Open

PyTorch 1.3 adds mobile, privacy, quantization, and named tensors

The release of PyTorch 1.3 includes support for model deployment to mobile devices, quantization, and front-end improvements, like the ability to name tensors. We’re also launching tools ...



On Oct 15, 2019
@Miles_Brundage shared
RT @OpenAI: We've trained an AI system to solve the Rubik's Cube with a human-like robot hand. This is an unprecedented level of dexterity for a robot, and is hard even for humans to do. The system trains in an imperfect simulation and quickly adapts to reality: https://t.co/O04izt3KvO https://t.co/8lGhU2pPck
Open

Solving Rubik’s Cube with a Robot Hand

We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand.

On Oct 10, 2019
@Jaguilam2003 shared
RT @VR_ARTech: Deep learning is the name for multilayered neural networks, which are networks composed of several “hidden layers” of nodes between the input and output. Link >> https://t.co/SpvrpcMXSN @DZone via @antgrasso #AI #ML #DeepLearning https://t.co/tyUf9zsvUI
Open

Demystifying AI, Machine Learning, and Deep Learning

Learn about AI, machine learning, supervised learning, unsupervised learning, classification, decision trees, clustering, deep learning, and algorithms.

On Oct 11, 2019
@thinkmariya shared
Comcast has a tremendous amount of streaming data, and still, it was able to build a robust Enterprise AI Platform with open-source solutions like MLFlow and Kubernetes. Check out the details. #AI #ML https://t.co/7zR7OqJJTj
Open

How Comcast Handles Vast Amounts of Streaming Data with MLFlow and Kubernetes

Kubernetes, specifically Kubeflow, ArgoCD, and Seldon Core, for model deployment. Data transformation and normalization can be ensured by the Data Transformation pod and the Data ...

On Oct 10, 2019
@Jaguilam2003 shared
RT @FinMKTG: The Seven #Patterns Of #AI https://t.co/oRovUZ9NtA #fintech #ArtificialIntelligence #MachineLearning #DeepLearning v/ @SpirosMargaris @kath0134 @CogWorldHub @HaroldSinnott @jblefevre60 @pierrepinna @mclynd @Ronald_vanLoon @horstwilmes @terence_mills @SabineVdL https://t.co/Q9SlYkZHRR
Open

The Seven Patterns Of AI

From autonomous vehicles, predictive analytics applications, facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI are many.

On Oct 14, 2019
@DeepMindAI shared
Transferability is a major challenge in street navigation. Our work @ICCV19 proposed a cross-view policy learning approach that utilises top-down aerial view imagery to enable agents to learn faster and better in unseen street areas. https://t.co/wRgWdbyXeR https://t.co/9sHHMj2X1r
Open

Click here to read the article

We further re- formulate the transfer learning paradigm into three stages: 1) cross-modal training, when the agent is initially trained on multiple city regions, 2) aerial view-only ...

On Oct 10, 2019
@Jaguilam2003 shared
RT @Julez_Norton: The #DataScience hierarchy of needs. #MachineLearning #AI #DeepLearning #bigdata #Analytics https://t.co/I5qmeO9auh https://t.co/RSs55rSzhn @julez_norton @FrRonconi @jerome_joffre @ronald_vanloon @HeinzvHoenen @mvollmer1 @alvinfoo
Open
On Oct 11, 2019
@salesforce shared
AI is quite the 🐝 buzzword 🐝 but 𝘩𝘰𝘸 𝘤𝘢𝘯 𝘺𝘰𝘶 𝘮𝘢𝘬𝘦 𝘈𝘐 𝘸𝘰𝘳𝘬 𝘧𝘰𝘳 𝘺𝘰𝘶? We got you covered: https://t.co/7iUkwDsdOa https://t.co/D7bG9gd9VT
Open

How will Einstein’s Guide to AI Use Cases benefit you?

Check out Einstein's Guide to AI Use Cases—it's an interactive website that helps you get started on your journey with AI.

On Oct 15, 2019
@AI_TechNews shared
RT @cloud_comp_news: How #AI developers are driving new demand for IT vendor services https://t.co/mB6d6UUbYx https://t.co/6dSNtrJERx
Open

How AI developers are driving new demand for IT vendor services

Preparing for the adoption of new technologies is challenging for many large enterprise organisations - yet investment in AI systems and services will continue on a high-growth trajectory.

On Oct 10, 2019
@Jaguilam2003 shared
RT @IanLJones98: How Machine Learning, #BigData & AI Are Changing Healthcare Forever by @BernardMarr via @Forbes #AI #ML #DL #Robotics cc @YIbnM @DrJDrooghaag @KaiGrunwitz @evankirstel @FmFrancoise @NevilleGaunt @MasterofIoT @JohnNosta @BillMew https://t.co/aTa2fbLo1e
Open

How Machine Learning, Big Data And AI Are Changing Healthcare Forever

While robots and computers will probably never completely replace doctors and nurses, machine learning/deep learning and AI are transforming the healthcare industry, improving outcomes, and ...

Browse topics

Get updates live! Follow us on

Choose your newsletters

On Oct 13, 2019
@math_rachel shared
This article by @vboykis about Siraj is thoughtful & nuanced, includes lots of background, and hits on many broader issues: https://t.co/X5B3xjRc0H
Open

The curse of being Big on the Internet

I first came across Siraj Raval around 2016, when a data scientist friend sent me his video. “This is ridiculous,” he said, and I had to agree that it was. But, it was also hilarious. Who ...

On Oct 13, 2019
@math_rachel shared
Deep Learning: https://t.co/KgtHR2B9Vk NLP: https://t.co/zC31JsKLwz Comp Linear Algebra:  https://t.co/qgQTDyxMit Bias, Ethics, & AI: https://t.co/CR3THkKmy6 Debunk Pipeline Myth: https://t.co/qIW64dWkUg AI Needs You: https://t.co/xUAv2eZLls Ethics Center: https://t.co/uCyv7xEt26
Open

new fast.ai course: A Code-First Introduction to Natural Language Processing

The course teaches a blend of traditional NLP topics (including regex, SVD, naive bayes, tokenization) and recent neural network approaches (including RNNs, seq2seq, attention, and the ...

On Oct 9, 2019
@MIT_CSAIL shared
BREAKING: Machine-learning system can identify likely "serial hijackers" of IP addresses: https://t.co/4wN22GTHeQ (joint work @MIT & @SDSC_UCSD) https://t.co/OnUPOWl26j
Open

Using machine learning to hunt down cybercriminals

Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.

On Oct 11, 2019
@thinkmariya shared
We’ve summarized the key ideas of the research paper “AutoML: the survey of the state-of-the-art” from the Hong Kong Baptist University. Check it out to know, on which tasks AutoML already outperforms human-designed models. #AI #AutoML #ML https://t.co/3Perrkg1zc
Open

What’s State Of The Art In AutoML in 2019?

Following the structure of the original paper, we’ll touch upon the available AutoML techniques, summarize existing approaches to Neural Architecture Search (NAS), provide you with the ...

On Oct 16, 2019
@math_rachel shared
RT @DataInstituteSF: Join us for the Center for Applied Data Ethics (CADE) Tech Policy Workshop Nov 16 & 17 featuring @ruchowdh @noUpside @Combsthepoet @cbracy @KLdivergence and more! Check out the schedule and register: https://t.co/BESV1N7kbo
Open
On Oct 15, 2019
@SilverJacket shared
"Perhaps we’d all be better off if the gadgets around us could tell us what they’re thinking. But do they all need to?” My article on explainable AI for @iftf. Thanks @m_c_elish, @rao2z, @iammarkhammond, @freddylecue, @DARPA, David Danks, Dave Gunning. https://t.co/7S9QsqN2Y0
Open

Don't Fear The Black Box

“A lot of new technologies bypass traditional forms of accountability,” says Madeleine Elish, an anthropologist at the Data & Society Research Institute, “including sometimes legal ...

On Oct 15, 2019
@johnchavens shared
RT @twainus: @SpiekSarah @PaulNemitz @nettwerkerin @sonstso_sk @PrivacyLab_WU @bendrath @DS_Stiftung @rennersen @johnchavens Given the current data structures and 2300+ years of defective logic since Aristotle (which John McCarthy himself identified in 1973), algorithmic totalitarianism and systemic biases of Machine Logic against Humans Reasoning is inevitable. * https://t.co/3vcdo0a5vW
Open

Gender and Racial Bias in Cloud NLP Sentiment APIs

Do natural language processing tools from Amazon and Google contain racial and gender bias? Charles Earl investigates.

On Oct 10, 2019
@kmkurn shared
RT @srush_nlp: PyTorch-Struct (v0.2 https://t.co/wNWBTmvst6). CRF distributions API, documentation, parsing datasets, new structured models, Tree/Span-LSTM, DGL adapters, and perf. Fun example: RL for learning tree network over math (ListOps) https://t.co/QQ5Whby653
Open

Pytorch-Struct

A library of vectorized implementations of core structured prediction algorithms (HMM, Dep Trees, CKY, ..,) - harvardnlp/pytorch-struct

On Oct 9, 2019
@AI_TechNews shared
RT @cloud_comp_news: What’s new in Gartner’s 2019 hype cycle for #AI – and what businesses need to know about https://t.co/poH6N53ADm https://t.co/IHB3v9oBF0
Open

What’s new in Gartner’s 2019 hype cycle for AI – and what businesses need to know about

Enterprises are making progress with AI as it grows more widespread - and they are also making more mistakes that contribute to their accelerating learning curve.