Usha Lokala

Paper accepted at JMIR Mental Health IF 6.33, #JMIR #Preprint: Detecting Substance Use Disorder using Social Media Data and Dark Web: Time and Knowledge aware Study preprints.jmir.org/ojs/index.php/… #digitalhealth via @jmirpub @CESAResearch Congratulations Team! @amit_p

In memory of Doug Lenat 1950-2023.

Prompt Engineering Guide ICYMI, we recently launched the prompt engineering guide that makes it easier to stay up-to-date with prompt engineering techniques and papers. promptingguide.ai

Check out this interesting #JMIR : Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study preprints.jmir.org/preprint/24938 #digitalhealth via @jmirpub

Using Activation Functions in Deep Learning Models machinelearningmastery.com/using-activati…

Glad to be witnessing the democratization of causality. Wikipedia has spawned a new entry on "Causal Model" which is a concise summary of #Bookofwhy, almost in its entirety: en.wikipedia.org/wiki/Causal_mo… Barring a few glitches, I am surprised it came out faithful and punchy.

#NLP "Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study" ift.tt/aoM9Uyr

JMIR Public Health: Drug Abuse Ontology to Harness Web-Based Data for Substance Use #Epidemiology #Research: Ontology Development Study dlvr.it/SfrT8t

Please RT If you are a PhD student conducting research in #ML #interpretability, #ResponsibleAI or @trustworthy_ml, we are hiring an intern/student researcher in #GoogleResearch Reach out via email. P.S. I am at #NeurIPS2022 and happy to chat in person! (1/2)

Indians delight in Rishi Sunak’s rise to UK PM on Diwali indianexpress.com/article/world/…

This is hugely important. Systems should be able to tell us reliably when we should *not* trust them to be right -- this should be an absolute requirement, enforceable by regulation or law, for any AI system that is being used for anything that matters. sites.google.com/view/uncertain…

Excited to share our EMNLP 2022 paper (w/ @VioletNPeng, @tydsh, Dan Klein): "Re3: Generating Longer Stories With Recursive Reprompting and Revision"! We *automatically* generate coherent stories, with consistent overarching plot, of *2000+ (!)* words, or even up to 7500! (1/11)

If you ask me, it's already pretty obvious today that human intelligence is highly specialized. Which is why I dislike the term AGI to designate human-level intelligence.

"The 3rd AI Wave is Coming, and It Needs a Theory". My opinion piece is up on the @IOSPress_STM page for the Neuro-Symbolic AI book edited by @pascalhitzler labs.iospress.com/news-blog/neur…

@arXiv_Daily @manasgaur90 @amit_p Congratulations Team!

KSAT: Knowledge-infused Self Attention Transformer – Integrating Multiple Domain-Specific Contexts deepai.org/publication/ks… by Kaushik Roy et al. including @manasgaur90, @amit_p #Computation #Language

Check out our tutorial on NEURONE: NEURosymbolic-ai fOr meNtal hEalthcare at @aimlsystems presented by @kaushikunal @manasgaur90 @ushanri @amit_p . Tutorial Page: aiisc.ai/neurone/ Conference Page: lnkd.in/eDkakVbj

Introducing Tutorial #3 AI-ML Systems 2022 Bangalore, India 12-15 October 2022 Know more: aimlsystems.org/2022/accepted_… #ai #ml #aiml #machinelearning #artificialintelligence #aimlsystems #conference #deeplearning @amit_p @manasgaur90 @kaushikunal @ushanri

The Alberta Plan for AI Research and 12 steps of Roadmap to an AI Prototype arxiv.org/abs/2208.11173

(1/4) Writing is often a collaborative process: We start with a draft, ask for suggestions & repeatedly make changes. Today we’re introducing PEER, a model trained to mimic this process, enabling it to incrementally write texts and to collaborate with humans in more natural ways.