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AI Essentials publishes only the most insightful links selected by the most trusted experts in the AI & Machine Learning industry.

AI Essentials

Top news of the week: 26.01.2021.

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Robotics

@heatherknight shared
On Jan 23, 2021
RT @mattbeane: Thoughtful piece on robot adoption by ⁦@mims⁩, featuring fellow HRI researcher ⁦@heatherknight⁩! Tempting to agree on COVID accelerating robotic investment, but my work with ⁦@erikbryn⁩ in ⁦@mitsmr⁩ shows the opposite in many cases. https://t.co/t5KQEM6QoR
Open
On the 100th Anniversary of ‘Robot,’ They’re Finally Taking Over

On the 100th Anniversary of ‘Robot,’ They’re Finally Taking Over

A century after playwright Karel Čapek coined the word “robot,” we finally have the technology to make the stuff of science fiction a reality—for better and for worse.

@engadget shared
On Jan 25, 2021
Google unions around the world form Alpha Global alliance https://t.co/hkj8wv0mdZ https://t.co/pmp1fTU08W
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Google unions around the world form Alpha Global alliance

Google unions around the world form Alpha Global alliance

Various Alphabet unions have joined forces and created a global alliance called Alpha Global. It was created with some help from UNI Global, a federation of unions that represents 20 ...

Read more: Robotics

Research

@_rockt shared
On Jan 22, 2021
RT @_kainoa_: What are the boundaries of Learning-To-Learn, and how can we push them? Our workshop @iclr_conf brings together neuroscience and machine learning experts to discuss these and other meta-learning topics! Burning ideas 💡? Submissions are open! Details: https://t.co/MeakeRqQx9 https://t.co/MRj40mjMa2
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Learning to Learn Workshop

Learning to Learn Workshop

With this goal in mind, we created a list of speakers that reflects this variety in backgrounds and schools of thought …

@jeremyphoward shared
On Jan 22, 2021
RT @math_rachel: Massive algorithmic systems are functionally similar to sprawling administrative states. We need to understand bureaucracy to understand why algorithmic systems can become inaccurate, absurd, & harmful. @kharijohnson on @_alialkhatib's research https://t.co/h6hLewDMPw
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Center for Applied Data Ethics suggests treating AI like a bureaucracy

Center for Applied Data Ethics suggests treating AI like a bureaucracy

A new research paper suggests AI practitioners adopt anthropology terms to assess large machine learning models that harm people.

Read more: Research

Applied Use Cases

@dmonett shared
On Jan 26, 2021
RT @SchmidhuberAI: 30-year anniversary of Very #DeepLearning (1991). Unsupervised hierarchical #PredictiveCoding finds compact internal representations to facilitate downstream learning. 1993: solving problems of depth 1000. Hierarchy can be distilled into a single deep net https://t.co/IQ5s8ZQQir
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1991: First very deep learning with unsupervised pre-training

1991: First very deep learning with unsupervised pre-training

It uses unsupervised learning and predictive coding in a deep hierarchy of recurrent neural networks (RNNs) to find …

@RyanFMandelbaum shared
On Jan 24, 2021
RT @nick_farina: new and important from @RyanFMandelbaum https://t.co/SSwahT0GTN
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Developing Algorithms That Might One Day Be Used Against You

Developing Algorithms That Might One Day Be Used Against You

Brian Nord is building a coalition of physicists and computer scientists to fight for more oversight in AI algorithm development.

Read more: Applied Use Cases

Ethics

@IEET shared
On Jan 22, 2021
RT @johnchavens: Beyond Engagement: Aligning Algorithmic Recommendations With Prosocial Goals https://t.co/KLso1WAk9O Long story short is Jonathan (author) is doing some of the most critically important work I know of in AI today. Must read. @jonathanstray #measurementality
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Beyond Engagement: Aligning Algorithmic Recommendations With Prosocial Goals

Beyond Engagement: Aligning Algorithmic Recommendations With Prosocial Goals

Much of the media we see online — whether from social media, news aggregators, or trending topics — is algorithmically selected and personalized. Content moderation addresses what should ...

@mer__edith shared
On Jan 19, 2021
RT @mtlaiethics: ✉️ The AI Ethics Brief #39 includes: ‣ The Sociology of AI Ethics (@kozlowska_iga, @NgaThanNYC, @atg_abhishek) ‣ Timnit Gebru’s Exit From Google Exposes a Crisis in AI (@alexhanna, @mer__edith) ‣ The year algorithms escaped quarantine (@nicolaskb) https://t.co/okiQSYpLkK
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The AI Ethics Brief #39: Sociology of AI ethics, robot testimony, believability gap, and more ...

The AI Ethics Brief #39: Sociology of AI ethics, robot testimony, believability gap, and more ...

Has the Turing Test become obsolete?

Read more: Ethics

Marketing

@RAlexJimenez shared
On Jan 24, 2021
#AI in analytics powering the future of #dataanalytics https://t.co/yzPnOjsHIX #innovation
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AI in Analytics: Powering the Future of Data Analytics

AI in Analytics: Powering the Future of Data Analytics

Augmented analytics: the combination of AI and analytics is the latest innovation in data analytics. For organizations, data analysis has evolved from hiring “unicorn” data scientists – to ...

@nigewillson shared
On Jan 25, 2021
Artificial Intelligence will soon outperform us in disciplines we thought were uniquely human https://t.co/JgAtz7GY7I #ai #artificialintelligence #machinelearning #deeplearning #aiethics #creativity https://t.co/wa2zzHGUpR
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AI will soon outperform us in disciplines we thought were uniquely human

AI will soon outperform us in disciplines we thought were uniquely human

Thanks to developments in AI, the days of the human creative may be numbered

Read more: Marketing

Healthcare

@WIRED shared
On Jan 25, 2021
Instead of simulating what doctors know, these algorithms are designed to reveal what doctors don’t see—which could in turn make health care more equitable. https://t.co/KbwXuiahTr
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New Algorithms Could Reduce Racial Disparities in Health Care

New Algorithms Could Reduce Racial Disparities in Health Care

Machine learning programs trained with patient reports, rather than doctors', find problems that doctors miss—especially in Black people.

@Paul_Sonnier shared
On Jan 20, 2021
RT @HITLABnyc: Tune in on Thursday for exclusive interviews & panel discussions covering the latest news in #digitalhealth from the JPM Health Week! Join us to hear from @PeriAvitan, @Paul_Sonnier, @BunnyEllerin of @Columbia_Biz, @CaptainClinical & more! RSVP: https://t.co/N41AAhSKQK #JPM_HWR https://t.co/WZ0FB7b2MT
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HITLAB's Review of the 39th J.P. Morgan Healthcare Conference

HITLAB's Review of the 39th J.P. Morgan Healthcare Conference

HITLAB's Review of the 39th J.P. Morgan Healthcare Conference

Read more: Healthcare

Cybersecurity

@jeffstone500 shared
On Jan 22, 2021
RT @snlyngaas: New --> White House plans to select Rob Silvers, a Mayorkas ally, to lead DHS' cyber outfit https://t.co/DwZHjiJLre
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White House plans to select Rob Silvers, a Mayorkas ally, to lead DHS's cyber outfit

White House plans to select Rob Silvers, a Mayorkas ally, to lead DHS's cyber outfit

The Biden administration plans to select Rob Silvers, a lawyer and former Department of Homeland Security official, to run the federal agency in charge of election security and stopping ...

@ChuckDBrooks shared
On Jan 25, 2021
RT @Paula_Piccard: Combining Machine Learning with Human Intelligence to ensure Security #MachineLearning #DataScience #Robotics #DeepLearning #IIoT #womenintech #DataAnalytics #RPA #neuralnetworks #AI #IoT #BigData #5G #ArtificialIntelligence #cybersecurity #tech https://t.co/jbp8Ly57J2 https://t.co/1Krvw5gVM2
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Combining Machine Learning with Human Intelligence to ensure Security

Combining Machine Learning with Human Intelligence to ensure Security

Integration of human intelligence and ML in Cybersecurity can better analyse framework behaviour and identify anomalous occasions reinforcing cybersecurity and minimising successful ...

Read more: Cybersecurity
weekly 26.01.2021
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