ImHorPhen

ImHorPhen is a bioimaging research group, headed by Prof. David Rousseau located in Angers Fr., and associated to Université d'Angers, Institut Agro and INRAe.

[Peyman Milanfar @docmilanfar]

“On a log-log plot, my grandmother fits on a straight line.”
-Physicist Fritz Houtermans

There's a lot of truth to this. log-log plots are often abused and can be very misleading

1/5

[ImHorPhen @ImHorPhen]

Congratulations to Pierre Bouillon for his new position @Cornell after the successful defense of his PhD @IRHS_Angers in collaboration between @UnivAngers and I.F.O International Fruit Obtention via @AnrtPage Video accessible on our @imhorphen channel https://t.co/r7cQtTgOd0

[Prof. Feynman @ProfFeynman]

Students don't need a perfect teacher. Students need a happy teacher, who's gonna make them excited to come to school and grow a love for learning.

[ImHorPhen @ImHorPhen]

Heureux de sortir du laboratoire @imhorphen @UnivAngers pour une rencontre Ciné-débat sur l'IA au quotidien à la Pommeraye organisé en partenariat avec la MSA et le cinéma Grand écran https://t.co/RG6qEj1pdF

[Guillaume Grallet @guillaumgrallet]

At the opening of ⁦@OpenAI⁩´s office in Paris, ⁦Head of Developer Experience ⁦@romainhuet⁩ shows the use of #o1 to program a drone to fly and broadcast live video from scratch. All instantly and without any specific technical knowledge. ✨

[Rohan Paul @rohanpaul_ai]

Open-source alternative to OpenAI's voice.

Extends text-based LLM to have native "listening" ability. Think of it as an open data, open weight, on device Siri.

What it offers:

📌 Implements native "listening" abilities in LLMs, similar to Siri but runs locally on-device

📌 Latest v0.4 achieves 64.63 MMLU score with enhanced context handling and noise management

📌 Provides complete training pipeline combining speech noise and multi-turn conversation data

📌 Includes ready-to-use demos via WebUI, Gradio interface, and Colab notebooks

[Rohan Paul @rohanpaul_ai]

Nice collection of LLM papers, blogs, and projects, focussing on OpenAI o1 and reasoning techniques.

What it offers:

📌 Curates papers, blogs, talks, and Twitter discussions about OpenAI's o1 and LLM reasoning

📌 Tracks frontier developments in LLM reasoning capabilities and techniques

[ScaDS.AI Dresden/Leipzig @Sca_DS]

📅 On 26.11.2024 at 4:40 p.m., we invite you to the inaugural lecture "From Pixels to Patterns: #MachineLearning for Bioimage Analysis" of Prof. Martin Weigert. He is professor for Machine Learning for Spatial Understanding at @tudresden_de & @Sca_DS.

👉 https://t.co/QQyNAFkdVV

[IRCAM @Ircam]

🎧 Create your own web audio experiences! Our new course on the Web Audio API is here—learn how to build interactive sound projects.

#WebAudioAPI #SoundDesign #LearnCoding

Sign up now: https://t.co/mkp8GwqbA2

[Stephen Cross @_sjcross]

The @RoyalMicroSoc Journal of Microscopy special issue for Data Analysis In Microscopy (DAIM) is now out and includes the paper on MIA!
https://t.co/5VbvUdYAVd

[Leonel Malacrida @MalacridaLab]

Extremely happy to share this review #FLIM at @MethodsPrimers in collaboration between #LFD @michelledigman @torrado_belen and @advanced_unit #BrunoPannunzio. Special thanks to editor #NatalieBarnes, who help us to shape this review.
Take a look 👉 https://t.co/2IM9iwXcCN

[Rohan Paul @rohanpaul_ai]

THE BEST visual explainer of how information propagates through a transformer.

If you want to have more than intuition about how the Transformer architecture is ruling the LLM world

→ open-source project explains everything about LLM Transformer Models!

→ A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including:

→ Self-attention mechanisms
→ Encoder-decoder architecture
→ Positional encoding
→ Multi-head attention

[Robert Haase @haesleinhuepf]

My slides about "Developing a Training Strategy" presented at #GloBIAS2024 are available #openaccess 🖥️🧑‍🏫🔓
https://t.co/VAg99aGgJW

[ImHorPhen @ImHorPhen]

The Phd Defense of Abderazzaq Moufidi is on our youtube channel. Congratulation Doctor Abder @UnivAngers @groupeesaip @Angers
https://t.co/Vs8L2nsIOJ

[Jannik Grothusen @JannikGrothusen]

We built a GPT-4o-powered cleaning robot.
- $250 for the robot arms
- 4 days to build

Open source is truly democratizing the field of robotics.
@KasparJanssen

[Frank Nielsen @FrnkNlsn]

Two great books available online that I recommend on information theory:

* "Information theory, inference and learning algorithms" by Sir MacKay

* "Information Theory: From Coding to Learning" by Y. Polyanskiy and Y. Wu

[Robert Haase @haesleinhuepf]

I just uploaded my slides for the webinar about #BioImageAnalysis Code Generation at #I2K2024 - #openaccess. See you in an hour! 🔬🖥️🤖🔓
https://t.co/R9TI8J7b9B

[Inês Cunha @inesmcunha]

😍⚠️And it’s out in @J_Cell_Sci!! Our review on the opportunities and challenges of using Machine Learning in Microscopy research 🤖🔬! From using ML to curate data to using ML to give us more KNOWLEDGE about our data (i.e. Interpretation 😉) DOI: https://t.co/HmYiaHgfgX (1/n) ⬇️

[Andrei Bursuc @CVPR @abursuc]

If you liked UNIC, check out Theia: a simple approach for distilling pretrained models, e.g.,CLIP, DINOv2, SAM, DepthAnything into a unified model with improved performance on policy learning https://t.co/qQpxz2TT6k

[Marcelo Leomil Zoccoler @zoccolermarcelo]

Today presenting the prototype of napari-phasors! A fruitful collaboration with @MalacridaLab, @schutyb and Bruno Pannunzio to port features of the recent @phasorpy library release into @napari_imaging ! If you are in #I2K, come to poster 54