jroeth

Data Science, Statistical and Machine Learning, Data Exploration and Visualization. Deep Learning and AI. Agile, Platform Thinking, Future Tech.

[jroeth @Data_Machines]

. and new ways to design Computers TPUv3 pod, inference @ the edge and many more

[jroeth @Data_Machines]

great insights into the work of @GoogleAI / #googlebrain to tackle the grand challenges of engineering by @JeffDean at #heidelbergAI: #DeepLearning, neural architecture search, #EvolutionalAlgorithmns vs. #DeepReinforcementLearning, #AutoML, etc...

[Florian Ganss @termdichter]

Discussion: How to conduct a #PoC in #DataScience and reduce the risk of project failure: https://t.co/eFxrPOSHju

[jroeth @Data_Machines]

Interesting point https://t.co/MaNXmDm1sM

[Andrew Ng @AndrewYNg]

AI+ethics is important, but has been partly hijacked by the AGI (artificial general intelligence) hype. Let's cut out the AGI nonsense and spend more time on the urgent problems: Job loss/stagnant wages, undermining democracy, discrimination/bias, wealth inequality.

[jroeth @Data_Machines]

Cortex 3.0 at Ernst-Strüngmann Institut. Great talk by Wolf Singer about
Recent findings in the neocortex, #AI and #HTM

[jroeth @Data_Machines]

Cambrian Explosion: “The number of species that’s growing is so incredible, and there are so many new ones coming out.” - Jen-Hsun Huang #Nvidia #AI #DeepLearning #DataScience

[Dieter Castel @DieterCastel]

Neural Network Quine: A beautiful paper on a creative approach for self-replicating neural networks. Thanks Oscar Chang & Hod Lipson! https://t.co/Iqs4BPiBKQ

[Kirk Borne @KirkDBorne]

Hierarchical Temporal Memory HTM-based Strong #AI beats RNNs and CNNs at Prediction and Anomaly Detection: https://t.co/AF0kQP5X4S #abdsc #BigData #DataScience #NeuralNetworks #MachineLearning #DeepLearning

[jroeth @Data_Machines]

Neural networks are inadvertently learning our language’s hidden (gender) biases. How to avoid social biases in word embeddings https://t.co/qsTO88f1yN

[Abigail See @abigail_e_see]

Is structure a necessary good or a necessary evil?

The video of @ylecun and @chrmanning's discussion on Deep Learning, Structure and Innate Priors is online! Watch the entire conversation, and read a summary of it, here:

https://t.co/0erJXNiY9r

#Stanford #DeepLearning #AI

[jroeth @Data_Machines]

@rhyolight Great, thanks for the info. Great HTM school lectures on YouTube btw

[𝒶𝓁𝓌𝒶𝓎𝓈 🄵🅁🄴🅂🄷 @rhyolight]

@Data_Machines See Jeff's most recent related work at https://t.co/iWTTPW34OD

[jroeth @Data_Machines]

Great book about #ai paradigm to build intelligent machines by simulating the neocortex by a Hierarchical Temporal Memory #HTM by Jeff Hawkins

[jroeth @Data_Machines]

Great interview about #AI #DeepLearning #GAN with smart questions and smart answers. https://t.co/xqQPKdpP5E

[jroeth @Data_Machines]

Super Lektüre um die Weihnachts-Silvester-gap zu schließen by @wilddueck #Innovation #Digitalisierung

[jroeth @Data_Machines]

The Trouble with Bias - #nips2017 by @katecrawford https://t.co/jcjEy1ptQ8

[jroeth @Data_Machines]

Forget Killer Robots—Bias Is the Real AI Danger https://t.co/lpURoJrRIC

[jroeth @Data_Machines]

ohh and death (of brands) now has a voice ... and a name btw #Alexa #siri and so on

[jroeth @Data_Machines]

@profgalloway ohh and #storytelling as the new #business competence

[jroeth @Data_Machines]

"grow at all costs even it means lose a lot of money" Does this ends well? https://t.co/eA0n79rSxm #TheFour great book by @profgalloway #platform #economy and new #business models