Tootfinder

America, 2024 https://partyon.xyz/@nullagent/112334691135374691

nullagent (@nullagent@partyon.xyz)
Attached: 1 image Police snipers made an appearance today atop the Indiana Memorial Union on Indiana University's campus. Students on IU's campus have setup a Liberation Zone protest and demand their university divest from Israel inline with BDS. They also make specific mention of a local miltary partnership with Crane Naval Base which has a key roll in supplying large munitions to Israel. 📸 TW: @BenSharpie64 https://linktr.ee/iudivestnow #IU #IUDivest #Indiana #Bloomington #FreePalest…

interactome_yeast: Coulomb yeast interactome (2005)
A network of protein-protein binding interactions among yeast proteins. Nodes represent proteins found in yeast (Saccharomyces cerevisiae) and an edge represents a binding interaction between two proteins.
This network has 1870 nodes and 2277 edges.
Tags: Biological, Protein interactions, Unweighted

South Korea's SK Telecom partners with Perplexity to access its proprietary models and to offer Perplexity's paid version of its AI-based search engine for free (Krystal Hu/Reuters)
https://www.reuters.com/technology/sk-tele

SK Telecom partners with AI search startup Perplexity in Korea
SK Telecom, South Korea's largest telco, is partnering with U.S. AI startup Perplexity to offer the artificial intelligence-based search engine to its users as an alternative to Google and Naver , the companies told Reuters.

Dienstag: Microsoft mit neuem Partner, Mond-Lander in Seitenlage schickt Bilder
Microsoft investiert in Mistral Mond-Lander funkt Bilder KI als Programmierer-Ersatz LinkedIn nutzt sensible Daten New Outlook statt Mail und Kalender

Well that is very interesting! Introducing Mistral-Large on Azure in partnership with Mistral AI | Microsoft Azure Blog
https://azure.microsoft.com/en-us/blog/microsof…

Introducing Mistral-Large on Azure in partnership with Mistral AI | Microsoft Azure Blog
Microsoft is announcing a multi-year partnership with Mistral AI, bridging the gap between pioneering research and real-world solutions.

Huh, I wonder what this is about.
“FTC Launches Inquiry into Generative AI Investments and Partnerships”
#ai
https://www.ftc.gov/news-event…

FTC Launches Inquiry into Generative AI Investments and Partnerships
The Federal Trade Commission announced today that it issued orders to five companies requiring them to provide information regarding recent investments and partnerships involving generative AI comp

ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
Liuzhenghao Lv, Zongying Lin, Hao Li, Yuyang Liu, Jiaxi Cui, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian
https://arxiv.org/abs/2402.16445 https://arxiv.org/pdf/2402.16445
arXiv:2402.16445v1 Announce Type: new
Abstract: Large Language Models (LLMs), including GPT-x and LLaMA2, have achieved remarkable performance in multiple Natural Language Processing (NLP) tasks. Under the premise that protein sequences constitute the protein language, Protein Large Language Models (ProLLMs) trained on protein corpora excel at de novo protein sequence generation. However, as of now, unlike LLMs in NLP, no ProLLM is capable of multiple tasks in the Protein Language Processing (PLP) field. This prompts us to delineate the inherent limitations in current ProLLMs: (i) the lack of natural language capabilities, (ii) insufficient instruction understanding, and (iii) high training resource demands. To address these challenges, we introduce a training framework to transform any general LLM into a ProLLM capable of handling multiple PLP tasks. Specifically, our framework utilizes low-rank adaptation and employs a two-stage training approach, and it is distinguished by its universality, low overhead, and scalability. Through training under this framework, we propose the ProLLaMA model, the first known ProLLM to handle multiple PLP tasks simultaneously. Experiments show that ProLLaMA achieves state-of-the-art results in the unconditional protein sequence generation task. In the controllable protein sequence generation task, ProLLaMA can design novel proteins with desired functionalities. In the protein property prediction task, ProLLaMA achieves nearly 100\% accuracy across many categories. The latter two tasks are beyond the reach of other ProLLMs. Code is available at \url{https://github.com/Lyu6PosHao/ProLLaMA}.

"Kryptokalypse": BSI und EU-Partner mahnen quantensichere Verschlüsselung an
Verfahren für den Quantenschlüsselaustausch seien bislang nicht ausgereift, meinen vier Cybersicherheitsbehörden. Post-Quanten-Kryptografie sei der bessere Weg.

interactome_vidal: Vidal human interactome (2005)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents a binding interaction between two proteins, as tested using a high-throughput yeast two-hybrid (Y2H) system.
This network has 3133 nodes and 6726 edges.
Tags: Biological, Protein interactions, Unweighted

interactome_figeys: Figeys human interactome (2007)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred using a mass spectrometry‐based approach.
This network has 2239 nodes and 6452 edges.
Tags: Biological, Protein interactions, Unweighted
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