Tom de Greef (@tfadgreef) 's Twitter Profile
Tom de Greef

@tfadgreef

Hoogleraar Synthetische Biologie @TUeindhoven, Lid @EindhovenYA, @dejongeakademie, Fellow Netherlands Academy of Engineering

ID: 815886617063866368

linkhttps://www.tue.nl/en/research/researchers/tom-de-greef calendar_today02-01-2017 11:45:02

2,2K Tweet

2,2K Followers

1,1K Following

Pulkit Agrawal (@pulkitology) 's Twitter Profile Photo

Agents performing "curious" exploration by setting random abstract goals! We present a simple but effective method for deep exploration of reinforcement learning (RL) agents that we call random latent exploration (RLE). Typical RL gents explore by: ⚔️ Noise-based exploration,

Agents performing "curious" exploration by setting random abstract goals! We present a simple but effective method for deep exploration of reinforcement learning (RL) agents that we call random latent exploration (RLE). 

Typical RL gents explore by:
⚔️ Noise-based exploration,
vittorio (@iterintellectus) 's Twitter Profile Photo

i asked gpt4.5 what’s a deep truth that most people are not aware of and then i kept asking 1. discomfort isn't just inevitable; it's essential. chase friction relentlessly.

i asked gpt4.5 what’s a deep truth that most people are not aware of
and then i kept asking 

1. discomfort isn't just inevitable; it's essential. chase friction relentlessly.
Philipp Schmid (@_philschmid) 's Twitter Profile Photo

The AI-Co Scientist paper dropped! The Google AI -Co Scientist is a Multi-Agent System build with Google DeepMind Gemini 2.0 designed to generate scientific hypotheses through generate, debate, and evolve approach combining specialized agents and reasoning. The 80 page long paper

The AI-Co Scientist paper dropped! The <a href="/GoogleAI/">Google AI</a> -Co Scientist is a Multi-Agent System build with <a href="/GoogleDeepMind/">Google DeepMind</a> Gemini 2.0 designed to generate scientific hypotheses through generate, debate, and evolve approach combining specialized agents and reasoning. The 80 page long paper
Derya Unutmaz, MD (@deryatr_) 's Twitter Profile Photo

The mind-blowing AI model that led me to make the claim below was a demo of Google AI co-scientist! It’s still a work in progress & I hope to test it in a few weeks-but its potential is already crystal clear & I believe it truly will be a game changer for scientific progress!

The mind-blowing AI model that led me to make the claim below was a demo of <a href="/GoogleAI/">Google AI</a> co-scientist! 

It’s still a work in progress &amp; I hope to test it in a few weeks-but its potential is already crystal clear &amp; I believe it truly will be a game changer for scientific progress!
Rohan Paul (@rohanpaul_ai) 's Twitter Profile Photo

This paper introduces the AI co-scientist. It's a multi-agent system designed to aid scientists in generating novel hypotheses and planning experiments. → The AI co-scientist uses specialized agents for different tasks. → These agents include Generation, Reflection, and

This paper introduces the AI co-scientist. It's a multi-agent system designed to aid scientists in generating novel hypotheses and planning experiments.

→ The AI co-scientist uses specialized agents for different tasks.

→ These agents include Generation, Reflection, and
Derya Unutmaz, MD (@deryatr_) 's Twitter Profile Photo

This is a great paper from my friend Rahul’s lab at @Cambridge. It turns out aspirin strengthens our immune system soldiers (T cells) against cancer and prevents metastasis-albeit indirectly, through its action on a platelet-derived factor. A really cool mechanism!

Andy Keller (@t_andy_keller) 's Twitter Profile Photo

In the physical world, almost all information is transmitted through traveling waves -- why should it be any different in your neural network? Super excited to share recent work with the brilliant Mozes Jacobs: "Traveling Waves Integrate Spatial Information Through Time" 1/14

Sense Jan vd Molen (@sensemolen) 's Twitter Profile Photo

Vandaag verscheen mijn antwoord op onderstaande stukken in Mare die weer een reactie waren op een opiniestuk van mij. Thema: sociale onveiligheid op universiteiten door heftige Pro-Palestina protesten. Zie: mareonline.nl/opinie/waarhei…

DenardResearchGroup (@carldenard) 's Twitter Profile Photo

HARP is on Biorxiv! biorxiv.org/content/10.110…. We developed a high-throughput functional screening platform for protease inhibitory nanobody discovery via yeast ER sequestration and screening. We used to HARP to isolate low nM inhibitors against TEVp and KLK6 for the first time.

nature (@nature) 's Twitter Profile Photo

An AI system has for the first time figured out how to collect diamonds in the hugely popular video game Minecraft go.nature.com/4lipvdS

Glen Berseth (@glenberseth) 's Twitter Profile Photo

In general, #robots need to learn how to act while existing in a world with other agents. In this lecture, I cover the foundations of #multiagent #reinforcementlearning (MARL) and connect this to the recent work on reinforcement learning from human feedback (#RLHF).

In general, #robots need to learn how to act while existing in a world with other agents. In this lecture, I cover the foundations of #multiagent #reinforcementlearning (MARL) and connect this to the recent work on reinforcement learning from human feedback (#RLHF).
Waggoner Lab (@labwaggoner) 's Twitter Profile Photo

Robot-assisted analysis and theoretical modeling of TCR/CAR crosstalk enable the design of adoptive T cell therapies that maximize anti-tumor activity and minimize toxicity in healthy tissues Cell cell.com/cell/fulltext/… Grégoire AltanBonnet François X. P. Bourassa

Robot-assisted analysis and theoretical modeling of TCR/CAR crosstalk enable the design of adoptive T cell therapies that maximize anti-tumor activity and minimize toxicity in healthy tissues <a href="/CellCellPress/">Cell</a> 
cell.com/cell/fulltext/…
<a href="/g_altanbonnet/">Grégoire AltanBonnet</a> <a href="/fxpbourassa/">François X. P. Bourassa</a>
Ali Madani (@thisismadani) 's Twitter Profile Photo

What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery

PNASNews (@pnasnews) 's Twitter Profile Photo

One of the most-viewed PNAS articles in the last week is “The emergence of eukaryotes as an evolutionary algorithmic phase transition.” Explore the article here: ow.ly/NsBj50VHePv For more trending articles, visit ow.ly/FRoU50VHePu.

One of the most-viewed PNAS articles in the last week is “The emergence of eukaryotes as an evolutionary algorithmic phase transition.” Explore the article here: ow.ly/NsBj50VHePv

For more trending articles, visit ow.ly/FRoU50VHePu.
Henry Shevlin (@dioscuri) 's Twitter Profile Photo

The more I learn about the semiconductor supply chain, the more implausible it all seems. There’s a small island vulnerable to invasion where all the chips are made? And the machines to make them all come from one firm in the Netherlands? Using lenses made by one firm in Germany?

Caleb Ellington (@probablybots) 's Twitter Profile Photo

Honored to share a major thread of my PhD research, out now in PNAS. We address a core issue with how models are used for scientific discovery. Models are so important that they define the entire scientific process... 1/n

Honored to share a major thread of my PhD research, out now in PNAS. We address a core issue with how models are used for scientific discovery.

Models are so important that they define the entire scientific process... 1/n
Andrew Ng (@andrewyng) 's Twitter Profile Photo

I am alarmed by the proposed cuts to U.S. funding for basic research, and the impact this would have for U.S. competitiveness in AI and other areas. Funding research that is openly shared benefits the whole world, but the nation it benefits most is the one where the research is