AI - Applied Use Cases


WEEKLY REVIEW


Trends


Top hashtags

Top influencers

influencer img dmonett
influencer img MelanieHannah
influencer img DeepMind
influencer img NathanBenaich
influencer img Raspberry_Pi
influencer img Sam_L_Shead
influencer img Theteamatx
influencer img andyjayhawk
influencer img arstechnica

Top sources

source img medium.com
source img arstechnica.com
source img github.com
source img jmjphd.research.unimelb.edu.au
source img nbviewer.jupyter.org
source img reallifemag.com
source img thebaffler.com
source img airstreet.com
source img nokia.com

Get updates live! Follow us on

Choose your newsletters

News

Artificial general intelligence: Are we close, and does it even make sense to try?

On Oct 17, 2020
@Jaguilam2003 shared
RT @techreview: If we had machines that could think like us or better, then maybe we’d stand a better chance at solving the world’s biggest problems. That’s been the guiding vision of AI research since the earliest days—and remains its most divisive idea. https://t.co/KPq5VvwkZm
Open

The idea of artificial general intelligence as we know it today starts with a dot-com blowout on Broadway.  Twenty years ago—before Shane Legg clicked with neuroscience postgrad Demis Hassabis over a shared fascination with intelligence; before the pair hooked up with Hassabis’s childhood ...

www.technologyreview.com
On Oct 17, 2020
@Jaguilam2003 shared
RT @techreview: If we had machines that could think like us or better, then maybe we’d stand a better chance at solving the world’s biggest problems. That’s been the guiding vision of AI research since the earliest days—and remains its most divisive idea. https://t.co/KPq5VvwkZm
Open

Artificial general intelligence: Are we close, and does it even make sense to try?

Artificial general intelligence: Are we close, and does it even make sense to try?

The idea of artificial general intelligence as we know it today starts with a dot-com blowout on Broadway.  Twenty years ago—before Shane Legg clicked with neuroscience postgrad Demis ...



On Oct 17, 2020
@dmonett shared
@wjarek @IvanaBartoletti Epic interview! Worth reading, also by Jordan: "Artificial Intelligence — The Revolution Hasn’t Happened Yet" https://t.co/kRo3zqFL01
Open

Artificial Intelligence — The Revolution Hasn’t Happened Yet

Artificial Intelligence — The Revolution Hasn’t Happened Yet

Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and…

On Oct 20, 2020
@Jaguilam2003 shared
RT @darioandriani: How #AI will power the next-gen applications in Connected Industries https://t.co/Vf0wIFEaXj 🔹Via @DarioAndriani 🔹 cc @enricomolinari @mvollmer1 @rwang0 @alvinfoo @KanezaDiane @antgrasso @techpearce2 @Nicochan33 @DeepLearn007 @ragusosergio @Xbond49 @ShiCooks https://t.co/gU38n7DUvu
Open

“How AI will power the next-gen applications in Connected Industries (CI)”

“How AI will power the next-gen applications in Connected Industries (CI)”

Hiroshige Seko, the minister of Economy Trade and Industry (METI) of Japan introduced a new concept for their roadmap to realize ‘Society…

On Oct 20, 2020
@jack shared
RT @techreview: And @_KarenHao just reported on a radical new technique to train AI models. It’s called “less than one”-shot learning (and yes, that’s a mythical rhinocorn) #EmTechMIT #TechReviewEvents https://t.co/5KPhlMdebE
Open

A radical new technique lets AI learn with practically no data

A radical new technique lets AI learn with practically no data

“Less than one”-shot learning can teach a model to identify more objects than the number of examples it is trained on.

On Oct 15, 2020
@vnfrombucharest shared
⚠I am recruiting for a PhD position in ML for NLP⚠ Apply by Nov 19 here: https://t.co/en8idArRa9 Extra context on my website: https://t.co/eeTF9UYk01. DM or email if you have any questions.
Open

PhD position in Machine Learning for Natural Language Processing

PhD position in Machine Learning for Natural Language Processing

PhD position in Machine Learning for Natural Language Processing

On Oct 16, 2020
@MIT_CSAIL shared
NEW: ML model uncovers potential drugs for tuberculosis. Cell paper: https://t.co/2l9rnhhokD More: https://t.co/m5Zh6LkWjJ #MLforHC #AI #ML #MachineLearning https://t.co/xmZLomE5mC
Open

Machine learning uncovers potential new TB drugs

Machine learning uncovers potential new TB drugs

Using a machine-learning approach that incorporates uncertainty, MIT researchers identified several promising compounds that target a protein required for the survival of the bacteria that ...

On Oct 20, 2020
@jackclarkSF shared
What happens when GPT2 is replaced by GPT3? Or GPTX is replaced by GPTY? Can we imagine futures where models are preserved in archives for study by humans - and eventually by other robots? A story, from Import AI 219 https://t.co/6BfzchwFGr https://t.co/ICMv1Mi5Kx
Open

Import AI 219: Climate change and function approximation; Access Now leaves PAI; LSTMs are smarter than they seem

Import AI 219: Climate change and function approximation; Access Now leaves PAI; LSTMs are smarter than they seem

LSTMs: Smarter than they appear:…Turns out you don’t need to use a Transformer to develop rich, combinatorial representations…Long Short-Term Memory networks are one of the widely-used …

On Oct 17, 2020
@vnfrombucharest shared
RT @CornellInfoSci: Excited to see Claire Cardie, prof of Info Sci & @cs_cornell and a true pioneer in NLP, will give a keynote at #EMNLP2020 next month. Don't miss her talk, "Information Extraction Through the Years: How Did We Get Here?" https://t.co/7X8YP9tZrN https://t.co/NIT8FMOQ7T
Open
On Oct 15, 2020
@MIT_CSAIL shared
Announced today: a new rapid Covid-19 test that takes under 5 minutes and uses deep learning to classify microscopy images of virus particles. Paper: https://t.co/rEUULsJ5wH More: https://t.co/ievGj0ieza @UniofOxford #rapidtest #Covid19test https://t.co/C7QKbjepdi
Open

Virus detection and identification in minutes using single-particle imaging and deep learning

Virus detection and identification in minutes using single-particle imaging and deep learning

The increasing frequency and magnitude of viral outbreaks in recent decades, epitomized by the current COVID-19 pandemic, has resulted in an urgent need for rapid and sensitive viral ...

On Oct 14, 2020
@zacharylipton shared
RT @omarsar0: In an increasingly dynamic world the future rarely looks like the past. As an ML practitioner, the challenge is how do you keep models updated to avoid issues related to distribution shift such as covariate & concept shift. Learn more in the @D2L_ai book https://t.co/FbXKwqFeQQ https://t.co/tdzISU1QpO
Open

Environment and Distribution Shift

Environment and Distribution Shift

In one classic setup, we assume that our training data were sampled from some distribution but that our test data will consist of unlabeled examples drawn from some different distribution ...

Browse topics

Get updates live! Follow us on

Choose your newsletters

On Oct 16, 2020
@vnfrombucharest shared
RT @myamada0: We are seeking a Research Scientist or Postdoctoral Researcher at high-dimensional statistical modeling team (RIKEN AIP)! https://t.co/vb7jlfIfTf If you have any questions, please feel free to contact me!
Open

Seeking a Research Scientist or Postdoctoral Researcher (W20113)

Seeking a Research Scientist or Postdoctoral Researcher (W20113)

Laboratory High-Dimensional Statistical Modeling Team, Generic Technology Research Group RIKEN Center for Advanced Intelligence Project (Laboratory head: Makoto Yamada) Research field The ...

On Oct 18, 2020
@NathanBenaich shared
AI-first biology by @nathanbenaich at @airstreet https://t.co/7eJIGKZDP8
Open

AI-first biology

AI-first biology

I explain why the AI moment for biology is here and how AI-first biology startups can capture value.

On Oct 18, 2020
@dmonett shared
@BethCarey12 @IvanaBartoletti @bengoertzel I was reading this some minutes ago, Beth, and it reminded me of your work: https://t.co/y7hJzqbnJE
Open
On Oct 14, 2020
@vnfrombucharest shared
RT @jmhessel: Our #EMNLP2020 paper is out! https://t.co/hPQPBVu07H TL;DR If you compare two models where A is more expressive than B, if A outperforms B, it's often not /because/ of the increased expressivity. Our method diagnoses this for multimodal classifiers. w/ Lillian Lee Thread 👇 https://t.co/RyZmfpjgYz
Open

Click here to read the article

Click here to read the article

One response is to create multimodal-reasoning datasets that are specifically and cleverly balanced to resist language-only or visual-only models; ex- amples are VQA 2.0 (Goyal et al., ...

On Oct 19, 2020
@bellorio shared
Data and Analytics for 2020 Data and analytics combined with artificial intelligence (AI) technologies will be paramount in the effort to predict, prepare and respond in a proactive and accelerated manner to a global crisis and its aftermath. https://t.co/GJxUc5dlrE
Open

Gartner Top 10 Trends in Data and Analytics for 2020

Gartner Top 10 Trends in Data and Analytics for 2020

Gartner analyst Rita Sallam examines the top 10 #data and #analytics technology trends that can help data and analytics leaders accelerate renewal or recovery post #COVID19 pandemic. Read ...

On Oct 16, 2020
@BulletinAtomic shared
"Regardless of what rules these weapons are subjected to now or in the future, a high degree of understandability and predictability—to borrow the more technical argot of accountable AI—will be essential features in any autonomous weapon." https://t.co/7V75il4rTd https://t.co/vU2Xva2N6F
Open

Ban, regulate, or do nothing: The debate over AI weapons and one path forward

Ban, regulate, or do nothing: The debate over AI weapons and one path forward

As countries around the world race to incorporate AI and greater autonomous functionality into weapons, the years-long debate at the United Nations over what if anything to do about lethal ...

On Oct 13, 2020
@math_rachel shared
Join @DataInstituteSF this Friday, Oct 16, 12:30-1:30pm Pacific Time for zoom talks by our data ethics research fellows: @amironesei @_alialkhatib @_youngshe More details & sign up here: https://t.co/vFzaeU4O4A
Open

Center for Applied Data Ethics Research Fellows Lightning Talks

Center for Applied Data Ethics Research Fellows Lightning Talks

Fri, Oct 16, 2020, 12:30 PM: Join us for the Center for Applied Data Ethics (CADE) Research Fellows Lightning Talks Featuring Ali Alkhatib, Razvan Amironesei and Nana Young!Ali Alkhatib: ...

On Oct 14, 2020
@vnfrombucharest shared
RT @EmtiyazKhan: LM and (related) Gauss-Newton are very useful concepts. We have used this previously to derive variants of Adam and also to convert neural nets to Gaussian Process. https://t.co/G3o5yKFPky https://t.co/pdH9eS1ktg https://t.co/ItkKckvxnW
Open

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Uncertainty computation in deep learning is essential to design robust and reliable systems. Variational inference (VI) is a promising approach for such computation, but requires more ...

On Oct 19, 2020
@DeepMind shared
Today, the code for the neural network in their study - the Fermionic Neural Network or FermiNet - is being released. We hope this will encourage other groups to build on this work and apply it to more systems: https://t.co/UbvcGLqY3Z
Open

FermiNet: Fermionic Neural Networks

FermiNet: Fermionic Neural Networks

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations - deepmind/ferminet