Congratulations to
#KempnerInstitute
Associate Faculty member and Professor of Psychology
@talia_konkle
on her appointment as the next director of the Mind Brain Behavior Interfaculty Initiative! Read more:
We're thrilled to introduce the 2024 cohort of
#KempnerInstitute
Graduate Fellows! This year’s recipients include seven incoming and eight continuing graduate students enrolled across six
@Harvard
Ph.D. programs. Read more:
#AI
#NeuroAI
#ML
Congratulations to
@CPehlevan
who has been awarded the prestigious
@NSF
Career Award! Dr. Pehlevan studies how networks of neurons compute and learn in both natural and artificial contexts. Read more:
#AI
#neuroscience
#KempnerInstitute
Our first cohort of KRANIUM
@Harvard
undergrads is here! Learn more about this intensive summer research program, the students, their mentors, and their projects:
#AI
#NeuroAI
#ML
Our new post-bac fellowship program, in partnership w/
@HarvardGSAS
Office for Equity, Diversity, Inclusion & Belonging, prepares recent college grads for PhD programs related to the study of intelligence. Applications are due Feb. 1. Learn more:
Thanks to all who attended our opening event yesterday! We're thrilled to welcome our community members and special guests like
@Harvard
's John Shaw, Vice Provost for Research and
@DOC_DNA
, Assoc Provost for Research.
#KempnerInstitute
's future is bright!
#AI
#neuroscience
OLMo is here! And it’s 100% open.
It’s a state-of-the-art LLM and we are releasing it with all pre-training data and code. Let’s get to work on understanding the science behind LLMs. Learn more about the framework and how to access it here:
The
#KempnerInstitute
is hiring! Join our vibrant community of students, scientists & engineers dedicated to advancing the understanding of natural and artificial intelligence. See below for current openings & apply today:
#AI
#ML
#careers
We’re thrilled to announce
#KempnerInstitute
’s first cohort of post-bac scholars! These 4 recent college grads will undertake extensive mentored research & coursework with 2 years of funding & professional development. Read more:
@harvardGSAS
#AI
#NeuroAI
Empowering Biomedical Discovery with AI Agents 🤖
Long-standing ambition for biomedical AI is the development of AI systems that can make major scientific discoveries with the potential to be worthy of a Nobel Prize—fulfilling the Nobel Turing Challenge
On knowing a gene: Distributional hypothesis of gene function
Just as words derive meanings from context, genes can switch their roles with biological surroundings. Traditional gene annotations miss this
Advances in transformers suggest a new perspective: gene functions as
We're thrilled to announce
@KanakaRajanPhD
is joining the
#KempnerInstitute
as a founding faculty member and
@harvardmed
faculty member. Dr. Rajan’s research will provide fundamental insights on how we learn, remember, and make decisions. Read more:
The
#KempnerInstitute
's new website is officially live! A huge thanks to Opus Design for their partnership in creating a beautiful, easy-to-navigate site that showcases the work of our community. Check it out here:
#ML
#neuroscience
#scienceforsocialgood
Conversations about
#AI
fairness and AI assistive technology need to include disabled people…
#KempnerInstitute
Research Fellow
@nsaphra
discusses fairness and disability in this important new article from the Harvard Gazette.
How can
#AI
models help with vision problems and what are the limitations of such models?
#KempnerInstitute
Affiliate Faculty Member
@gkreiman
addresses these questions and more in a new
@harvardmed
magazine article.
PhD student &
@KempnerInst
fellow Ciara Sypherd is unraveling the mysteries of animal communication and cognition, using
#machinelearning
to decode signals and behaviors. 🐾 🧠
📹 Watch the full video:
Using techniques from cognitive science can help researchers understand AI behavior and train models to perform ethical reasoning. The approach also raises new questions about human consciousness.
@cocosci_lab
@KempnerInst
Another
#SfN23
in the books! A joy spending time with a few of my favorite neuroscientists 🧠
Thank you
@SfNtweets
for inviting me to speak this year. Sharing the big stage with my friend & collaborator
@IshmailSaboor
is an honor 🙏🏽
#SfN2023
Introducing PDGrapher - Combinatorial prediction of therapeutically useful chemical and genetic perturbations using causally-inspired neural networks
Many methods learn responses to perturbations, but PDGrapher is addressing the inverse problem, which is to infer the perturbagen
Can Transformers extrapolate from short training sequences to long ones? Our new work shows that they display surprising “length generalization” capabilities on many algorithmic tasks: addition, multiplication, and even in-context simulation of SGD!
We propose Q-probe, a simple technique that improves coding and alignment for LLM, without requiring fine-tuning!. The idea is to learn a "task vector" in the hidden space and use it to select from multiple candidate generations.
We're thrilled to announce
@maxshadx
’s new role as Senior Director of
#AI
#ML
Research Engineering at the
#KempnerInstitute
! Check out Max's updated bio to read about his new, expanded role:
Tomorrow at 1pm in WCC 103 at
#SfN23
🧠🦑
I’ll share my story from engineering & physics to neuroscience, how computational models reveal novel mechanisms & make experimental predictions, and how neurocomics could help make my field more inclusive.
#SfN2023
On
#InternationalWomensDay
, we honor the faculty, scientists, researchers, fellows, students, and staff of our Kempner community who, together, are working to advance the understanding of
#AI
and natural intelligence. Meet our incredible team:
#IWD2024
I also have no idea what Q* is, but given speculation that it’s a method of self-learning and Monte-Carlo Tree Search (MCTS) in language models, I thought I’d share some recent work on an adjacent idea.
Grateful for the chance to discuss AI's 2024 prospects with
@NatMachIntell
. We covered LLM progress, multimodal AI, multi-task agents, and the crucial issue of bridging the digital divide across communities and world regions
Appreciating the insightful exchange,
@LCVenema
!
My Harvard/Neuro 231, 2024 Edition begins soon. It explores contemporary brain theory spanning local neuronal circuits as well as deep neural networks. It examines the relationship between network structure, dynamics, and computation. 1/3
The brain's storage capacity is equivalent to roughly 2000 smartphones’ worth of data.📱⚡ 🧠
@Harvard
’s Kempner Institute is using AI to understand the complex processes involved in human + machine intelligence