Usha Lokala

Doctoral student at AI Institute ( U of South Carolina
Cognitive AI, Knowledge-infused Learning, Semantics+Knowledge, NLP, NLU

[Usha Lokala @ushanri]

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 https://t.co/TFFd8dcCSe #digitalhealth via @jmirpub @CESAResearch Congratulations Team! @amit_p

[Gary Marcus @GaryMarcus]

In memory of Doug Lenat 1950-2023.

[DAIR.AI @dair_ai]

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.

https://t.co/UrrKL5xHu6

[Usha Lokala @ushanri]

Check out this interesting #JMIR : Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study https://t.co/b7U5OJ0I4O #digitalhealth via @jmirpub

[Usha Lokala @ushanri]

Using Activation Functions in Deep Learning Models https://t.co/RlSeE1Osy9

[Judea Pearl @yudapearl]

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:
https://t.co/yXxo4WbWiS
Barring a few glitches, I am surprised it came out faithful and punchy.

[doctick @doctick]

#NLP "Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study" https://t.co/QL01l5dedR

[JMIR Publications @jmirpub]

JMIR Public Health: Drug Abuse Ontology to Harness Web-Based Data for Substance Use #Epidemiology #Research: Ontology Development Study https://t.co/XBKIVMZVGE

[Asma Ghandeharioun @ghandeharioun]

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)

[Usha Lokala @ushanri]

Indians delight in Rishi Sunak’s rise to UK PM on Diwali https://t.co/NiGh7eBvNu

[Philip Resnik @psresnik]

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. https://t.co/yF2Dqt14wR

[Kevin Yang @kevinyang41]

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)

[Yann LeCun @ylecun]

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.

[Frank van Harmelen @FrankVanHarmele]

"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 https://t.co/SOCM5Dl29x

[Usha Lokala @ushanri]

@arXiv_Daily @manasgaur90 @amit_p Congratulations Team!

[arXiv Daily @Arxiv_Daily]

KSAT: Knowledge-infused Self Attention Transformer – Integrating Multiple Domain-Specific Contexts
https://t.co/BfoNWEa7DB
by Kaushik Roy et al. including @manasgaur90, @amit_p
#Computation #Language

[Usha Lokala @ushanri]

Check out our tutorial on
NEURONE: NEURosymbolic-ai fOr meNtal hEalthcare
at @aimlsystems presented by @kaushikunal @manasgaur90 @ushanri @amit_p .

Tutorial Page: https://t.co/jH2AbEy8Ex
Conference Page: https://t.co/vz3SoFjlmf

[AI-ML Systems Conference @aimlsystems]

Introducing Tutorial #3

AI-ML Systems 2022
Bangalore, India
12-15 October 2022

Know more: https://t.co/qETJ7E7m73

#ai #ml #aiml #machinelearning #artificialintelligence #aimlsystems #conference #deeplearning

@amit_p
@manasgaur90
@kaushikunal
@ushanri

[Usha Lokala @ushanri]

The Alberta Plan for AI Research and 12 steps of Roadmap to an AI Prototype
https://t.co/kyLdhlpcB3

[AI at Meta @AIatMeta]

(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.