Marios Daoutis

AI Researcher. Developing #thinkingmachines, with #logic and #neurons.

[Frontiers in AI & Big Data @FrontAIBigData]

We are pleased to present a new Research Topic on #GraphNeuralNetworks
Led by an influential team of editors: @TM4one, Sarunas Girdzijauskas, Zekarias Tilahun Kefato, @AlbiMontre

Find more information here ➡️
https://t.co/732l1nX5WW

#Callforpapers #complexgraphs #graphlearning

[MIT CSAIL @MIT_CSAIL]

An IBM slide from 1979.

[WASP Research @WASP_Research]

WASP Industry Days 2022 has started!

Presentations, group discussions, poster presentations, networking sessions and mingle at WING Day (WASP Industry Networking Gathering Day) at Louis De Geer, Norrköping.

https://t.co/1JaubbSZHg

#WASP #AI #humanintelligence

[Artur d'Avila Garcez @AvilaGarcez]

Neurosymbolic AI

[DaSciM team @dascim_polytech]

Congratulations to @giannis_nikole and @GDasoulas for their paper: “Permute Me Softly: Learning Soft Permutations for Graph Representations” accepted for publication to the prestigious TPAMI journal!!! Bravo!

[Brian Moyer @bdmoyer]

The best skill to teach a child is reinvention. Change is the only constant.

[Luca Ambrogioni @LucaAmb]

Can a machine trained on a mixture of fiction and non-fiction understands what a 'lie' is? It presupposes the existence of a single reality.

Also, the concept of the 'present' makes no sense for the machine. The data has many moments and none of them is more real than another.

[Marios Daoutis @TM4one]

Private computational systems marketed as artificial intelligence (AI) are threading through our public life and institutions, concentrating industrial power, compounding marginalization, and quietly shaping access to resources and information. https://t.co/EYIEgGgxwX

[arXiv Daily @Arxiv_Daily]

Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
https://t.co/nlDLrOu8tu
by Xiajing Li and @TM4one
#Computation #Language

[François Chollet @fchollet]

Saying that bias in AI applications is "just because of the datasets" is like saying the 2008 crisis was "just because of subprime mortgages".

Technically, it's true. But it's singling out the last link in the causality chain while ignoring the entire system around it.

[Marios Daoutis @TM4one]

On the Bias-Variance Tradeoff: Textbooks Need an Update https://t.co/aYXd1cgKzB

[Marios Daoutis @TM4one]

On the Idea that Humans are Machines (Before and After La Mettrie) – CREALECTICS https://t.co/kx4WHUmaul

[Marios Daoutis @TM4one]

An Epidemic of AI Misinformation https://t.co/xd18g9Cv4d

[Murray Shanahan @mpshanahan]

Perhaps scientists and engineers will solve AI with the help and guidance of philosophers, psychologists, and others with different academic backgrounds

[Denny Vrandečić @vrandezo]

Wow. This is hard to believe, and might mean we're on the right way. Fascinating.

Paper by MIT and UCLA.

https://t.co/GgD771ds7w

[Julian Togelius @togelius]

Reinforcement learning is a paradigm that will eventually be superseded. We just haven't figured out what the new, more generally useful, paradigm is yet. When we do, there's going to be a revolution. It will be very interesting.

[Philipp Cimiano @pcimiano]

On explainability in AI: An explanation requires a conceptualization of the object to be explained in relation to a conceptualization of the domain, task, decision making context, etc. I think our current focus on XAI is too reductionistic. #xai #semanticexplainability

[Murray Shanahan @mpshanahan]

One of the worst things about this trend is that it discredits real #AI research, and distracts from the very real progress that has been made in the last decade

[Arvind Narayanan @random_walker]

Much of what’s being sold as "AI" today is snake oil. It does not and cannot work. In a talk at MIT yesterday, I described why this happening, how we can recognize flawed AI claims, and push back. Here are my annotated slides: https://t.co/iCpyFw5urN

[Marios Daoutis @TM4one]

The Revenge of Neurons and the evolution of #ArtificialIntelligence in one graph https://t.co/t4PJ9bMARZ No need to wait for a second AI winter to happen until we focus on research that stems from both paradigms.