Future of AI & Machine Learning



In the Last 7 days there's been 21 influencers like Miles_Brundage and PeterAsaro, discussing topics such as #AI, #AIethicsand #MachineLearning.



Trends


Top hashtags

Top influencers

Miles_Brundage
PeterAsaro
GaryMarcus
frossi_t
j2bryson
Rochelle
haldaume3
hardmaru
zeynep

Top sources

medium.com
microsoft.com
nytimes.com
wired.com
aies-conference.com
fast.ai
technologyreview.com
assert.pub
blog.google

News

Should Artificial Intelligence Copy the Human Brain?

On Aug 11, 2018
@GaryMarcus shared
RT @mims: Some advocates of deep learning/AI say it will soon master all simple human mental tasks. But what if we've barely scratched the surface of what human intelligence is capable of, and engineers have decades of learning and biomimicry yet to come? https://t.co/EVmTgLHaf2
Open

The biggest breakthrough in AI, deep learning, has hit a wall, and a debate is raging about how to get to the next level.

www.wsj.com
On Aug 11, 2018
@GaryMarcus shared
RT @mims: Some advocates of deep learning/AI say it will soon master all simple human mental tasks. But what if we've barely scratched the surface of what human intelligence is capable of, and engineers have decades of learning and biomimicry yet to come? https://t.co/EVmTgLHaf2
Open

Should Artificial Intelligence Copy the Human Brain?

The biggest breakthrough in AI, deep learning, has hit a wall, and a debate is raging about how to get to the next level.


On Aug 9, 2018
@PeterAsaro shared
RT @FrankPasquale: "When decisions are made automatically without any way for people to understand the reasoning, to check the way power acts & potentially discriminates, there is no longer any political debate apart from whether to fall in line or to abolish the system." https://t.co/gSrpbIkN8b
Open

tante — Artificial Saviors

tante Content Warning: The following text references algorithmic systems acting in racist ways towards people of color. Artificial intelligence and thinking machines have been key ...

On Aug 8, 2018
@Miles_Brundage shared
Thoughtful article by my colleagues @SophieCFischer and @JadeFLeung on the Pentagon's new Joint Artificial Intelligence Center (JAIC): https://t.co/CNdpdlLdow
Open

JAIC: Pentagon debuts artificial intelligence hub

The Defense Department is initiating a whole new approach to artificial intelligence, and maybe even to technology development and procurement. But in the long run, the new program’s most ...

On Aug 11, 2018
@frossi_t shared
RT @TEDMED: "I believe that doctors who partner with artificial intelligence as a decision-making aid will see their healing powers expand more than they have in a hundred years." - @greg_corrado, co-founder of Google Brain | #TEDMED 2017 @GoogleAI https://t.co/2z4FlYNM49
Open

How doctors can help A.I. to revolutionize medicine

<span style="font-size:12px;">Greg Corrado, Co-founder of Google Brain and Principal Scientist on Google's A.I. Healthcare team, has spent the last decade at the forefront ...

On Aug 9, 2018
@vkrakovna shared
RT @catherineols: I'm quoted in https://t.co/Gab68VNymm saying "Today’s algorithms do what you say, not what you meant", which feels delightfully meta: Despite my fear that today's journalists report *neither* what interviewees said nor meant, @tsimonite here seems to have done *both*!
Open

When Bots Teach Themselves to Cheat

Even with logical parameters, AI programs can develop shortcuts and workarounds that humans didn’t think to deem off-­limits.

On Aug 8, 2018
@GaryMarcus shared
RT @so_evolutionary: our paper: Priors in Animal and Artificial Intelligence: Where Does Learning Begin? https://t.co/Qr8Ttdm7v7 dialogues with @GaryMarcus @ylecun @sapinker
Open

Forum Priors in Animal and Artificial Intelligence: Where Does Learning Begin?

A major goal for the next generation of artificial intelligence (AI) is to build machines that are able to reason and cope with novel tasks, environme…

On Aug 8, 2018
@AnimaAnandkumar shared
@zacharylipton @uai2018 Slides from #uai2018 tutorial on #data scarcity in #deeplearning available https://t.co/R9hTc6owBe
Open

All Talks

Tackling Data Scarcity in Deep Learning The Conference on Uncertainty in Artificial Intelligence (UAI), August 2018 slides(part1) slides(part2) AI: present and future QS investors Caltech ...

On Aug 10, 2018
@drfeifei shared
RT @Google: To support @ai4allorg in its mission to increase diversity in AI, a $1M grant from @googleorg will help create even more opportunities for students like Ananya to become the next generation of AI leaders → https://t.co/Nc3zWSJXDf https://t.co/wKAZKoGljl
Open

AI4ALL participants tell all—summer camps get girls involved in AI and tech

Google.org gave a $1 million grant to AI4ALL to scale their nationwide summer camps which help students build foundational technical skills.

On Aug 14, 2018
@j2bryson shared
"[Slaughterbots] takes a plausible problem—terrorist attacks with drones—and scales it up without factoring in how others would respond." https://t.co/p2Iol1nyeJ Just like many other BS "#aiethics" claims, which then get used to support the fiction that no one works on AI safety.
Open

Why You Shouldn't Fear 'Slaughterbots'

A dystopian future in which killer robots are massacring innocents is terrifying, but let’s be clear: It's very much science fiction

On Aug 12, 2018
@GaryMarcus shared
RT @ipfconline1: 15 Top #AI Experts To Follow On Twitter 👇 @jtoy @gideonro @mjcavaretta @MFordFuture @pmddomingos @JustinHerman @TeachTheMachine @mmitchell_ai @soumithchintala @ryonck @cybercodetwins @tessalau @GaryMarcus @DrAndyPardoe @etzioni https://t.co/PCi4mPTIMX [by @OKharkovyna] #ML #DL https://t.co/LB9cfmud4f
Open

Learn In Your Tweet: 15 Top AI Experts To Follow On Twitter

A lot of people ask me “If I want to learn artificial intelligence, whom should I follow?”. The answer is, there are a lot of awesome…

Browse topics

Get updates live! Follow us on

Subscribe to our mailing list

On Aug 10, 2018
@mpshanahan shared
RT @assertpub_: "Conditional Neural Processes" is the #1 paper on arxiv today in machine learning. Congrats to @DeepSpiker @mpshanahan. See it at -> https://t.co/MVjwNXBqDj and https://t.co/qJJ61tFxQ6. Please retweet.
Open

Top 10 Arxiv Papers Today in Computer Science

alxndrkalinin: RT @cwcyau: If you were like me and found the Neural Processes papers (https://t.co/V6swjXuDw6, https://t.co/jqI6IFb74Z) quite challenging… kastnerkyle: RT @cwcyau: If you ...

On Aug 9, 2018
@NandoDF shared
RT @sapinker: Robotics pioneer Rodney Brooks (former MIT colleague) debunks 7 errors in AI hype: confusing AI with magic, assuming Moore's Law for everything, overattributing intelligence, Hollywood scenarios, underestimating hardware inertia, others. https://t.co/MbG8kdBZrg
Open

The Seven Deadly Sins of AI Predictions

Mistaken extrapolations, limited imagination, and other common mistakes that distract us from thinking more productively about the future.

On Aug 11, 2018
@etzioni shared
40% faster than Google’s record on their proprietary TPU Pod cluster. https://t.co/nAnaYmMbCB uses the same number of processing units as Google’s benchmark (128) and costs around $40 to run. https://t.co/SJKKAm0Tmb
Open

Making neural nets uncool again

This means that our course is unusual in that although it’s designed to be accessible with minimal prerequisites (just high school math and a year of coding experience) we show how to match ...

On Aug 12, 2018
@PeterAsaro shared
https://t.co/mtNgcm57cQ
Open

There Will Never Be an Age of Artificial Intimacy

Robots may be better than nothing, but they still won’t be enough.

On Aug 14, 2018
@GaryMarcus shared
RT @PatisNLU: “in its current supervised form, deep learning might be approaching its limits and that those limits would stop short from full artificial general intelligence ” — @GaryMarcus https://t.co/WrgO2NRMzR https://t.co/9WHll9sLw6
Open

In defense of skepticism about deep learning

“All truth passes through three stages: First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as self-evident.”

On Aug 10, 2018
@PeterAsaro shared
RT @AI_RRI_Ethics: "Never have we faced a technology like AI – whose design is in the hands of a few, and who are mostly born in societies of abundance, yet a technology powerful enough to shape multifaceted aspects of our lives." https://t.co/Zuv0PJJR54 "The Ethical Anatomy of #AI" Voices @UNUCPR https://t.co/QkLfKHObXt
Open

The Ethical Anatomy of Artificial Intelligence

The challenge of AI In its current form, called deep learning, AI optimizes predictive reasoning by learning how to identify and classify patterns within massive amounts of data. At the ...

On Aug 14, 2018
@hardmaru shared
RT @PetarV_93: Graph Attention Networks (originally published at @ICLR18) are now summarised in a blog post! Featuring a lighter introduction to attentional mechanisms on graphs, as well as a broad overview of subsequently released related work. https://t.co/y37B0KAVIV
Open

Graph Attention Networks

Here we will present our ICLR 2018 work on Graph Attention Networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional ...

On Aug 9, 2018
@hardmaru shared
RT @shekitup: My blog post on getting @AmazonEcho to respond to sign language is finally out on the @TensorFlow blog! It includes a live demo, code and a full writeup on how and why I built it. Read on - https://t.co/W647OIl6pi https://t.co/ft4Q2co8FZ
Open
On Aug 8, 2018
@haldaume3 shared
RT @MSFTResearch: We're expanding our funding support to help academics advance their research. Nominations for three fellowships are now open. -Microsoft Research Ada Lovelace Fellowship -Microsoft Research PhD Fellowship -Microsoft Research Faculty Fellowship Learn more: https://t.co/d4g368wgr3
Open

Three Microsoft fellowship programs support academics and the future of the computer science field

To help academics advance their research, Microsoft has supported hundreds of fellows through the Microsoft Research PhD Fellowship. This year we are expanding our funding support by ...