Ryan sikorski

Check out this free to play game called NanoHive. 👀 NanoHive Manage your hive of nanobots in a Free-to-Play top-down arena shooter and exterminate all the bacteria and viruses infecting the body. Multiply the hive by absorbing bacteria to save people's lives as fast as possible while competing with others in order to become the fastest NanoHive Operator. https://t.co/sojQ0b9b48

HyperSpace - HYPER entanglement in SPACE The goal of HyperSpace is to further develop satellite-based quantum communications by appropriate experiments into scalable global quantum networks. This global quantum network will interconnect a wide range of quantum processors using a variety of quantum channels, just as in the conventional Internet. To facilitate deployment on scalable small satellites, the team seeks not only to develop new protocols based on quantum hyperentanglement, but also to transfer these protocols into scalable photonic integration platforms. Applications of HyperSpace in the field of information technology and sensors will be extensive. For instance, a global quantum internet will enable significantly improved applications, such as more accurate clock synchronization, highly efficient cloud information, or even highly secure data transmission through quantum cryptography that relies on physics. https://t.co/4yiruQtQSk https://t.co/ONgFxZ26EI https://t.co/HVO8CUgUDi https://t.co/MExvNn4vz1 https://t.co/PPE9hqCoQh 📄 Quantum state processing through controllable synthetic temporal photonic lattices The design of the programmable temporal photonic lattice enabled us to control the dynamic of the walk, leading to an increase in the coincidence counts and quantum interference measurements without recurring to post-selection. Our results show how temporal synthetic dimensions can pave the way towards efficient quantum information processing, including quantum phase estimation, Boson sampling and the realization of topological phases of matter for high-dimensional quantum systems in a cost-effective, scalable and robust fibre-based setup. https://t.co/Jq5xnX7lRI

Advancement of Metabolic Engineering Assisted by Synthetic Biology Achievements in synthetic biology have been widely adopted in metabolic engineering, a field aimed at engineering micro-organisms to produce substances of interest. However, the engineering of metabolic systems requires dynamic redistribution of cellular resources, the creation of novel metabolic pathways, and optimal regulation of the pathways to achieve higher production titers. Thus, the design principles and tools developed in synthetic biology have been employed to create novel and flexible metabolic pathways and to optimize metabolic fluxes to increase the cells’ capability to act as production factories. 🔸TAL effectors Transcription activator-like effectors secreted by Xanthomonas bacteria, which recognize plant DNA sequences through a central repeat domain of ~34 amino acid repeats, and activate the expression of individual genes to aid bacterial infection. 🔸Bio-oscillators Synthetic genetic circuits that mimic the natural genetic clocks of organisms, which induces the periodical behavior of a system. 🔸Toggle switch Synthetic genetic circuits that display a stepwise function: ON or OFF. 🔸Logic gates Synthetic genetic circuits consisting of multiple cellular sensors and actuators to perform precise logical operation (e.g., AND-, OR-, NOT-, and NAND-gates). 🔸Phosphoketolase pathway The pathway that contributes to carbon metabolism, in which a key enzyme, phosphoketolase, cleaves pentose phosphate into glyceraldehyde-3-phosphate and acetyl phosphate. 🔸Riboswitches RNA sequences that resize in 5’ UTR and regulate transcription and/or translation by conformational changes upon ligand binding. 🔸Small regulatory RNAs (sRNAs) Small non-coding RNAs that regulate translation by base-pairing with target mRNAs. 🔸Protospacer-adjacent motif (PAM) 5′-NGG-3′ sequence immediately following the target DNA sequence in the CRISPR-Cas system. https://t.co/oIYNhuBUGt AssemblX: A user-friendly toolkit for rapid and reliable multi-gene assemblies AssemblX is a novel, user-friendly and highly efficient multi-gene assembly strategy. The software-assisted AssemblX process allows even unexperienced users to rapidly design, build and test DNA constructs with currently up to 25 functional units, from 75 or more subunits. The user-oriented AssemblX workflow allows scar-less, sequence-independent de novo assemblies from multiple parts at the single gene level and subsequent standardized, modular and PCR-free assemblies into multi-gene constructs. The whole process was designed for use with cost efficient cloning methods, enables multi parallel assemblies to speed up the process and allows the user to freely choose the final host organism for gene expression. The user is supported in all steps by the AssemblX web tool and gets a protocol including all primers, PCR conditions, digestions and assembly reactions. Taken together, AssemblX can be used in any lab and by any user to assemble complex genetic constructs for various purposes including pathway engineering. Online web tool The web tool was implemented with the web application framework Struts 2 (Apache Software Foundation, Los Angeles, CA, USA) using the integrated development environment MyEclipse (Genuitec, Flower Mound, TX, USA). As a servlet container we use Tomcat (Apache Software Foundation). The communication with the web service j5 works by using an XML-RPC interface (29). https://t.co/TvJaulBgfs (29) j5 DNA Assembly Design Automation Software https://t.co/c0IW24RDQ1 PDF DOWNLOAD https://t.co/JD87sI1bFw

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Pay attention folks! Sustainable Development is a euphemism for genocide. 💯 https://t.co/cBX66joJuN

RT @Ryansikorski10: @SKettenbei73754 @LisaMcGee0802 Green Agenda = regulating human hydrocarbons in the gut biome (bacteria). Also by usi…

Asset Tokenazation Who's the asset? Well the human being of course. What's being tokenized? Your biological/physiological signals. How? By harvesting your galvanic energy and using it to run the Blockchain. When you mess with the 🐂 you get the horns! 😈 Polymath Polymath makes smart digital investments easy - all in one platform. One institutional-grade platform to digitize real world assets represented as security tokens and operated through smart contracts. From creating an offer, setting up yield strategy and process, token issuance, assembling an expert team, to attracting investors, managing your current and future digital portfolios, exposure to key ecosystems, and ultimately, opening up businesses for growth. With its established legacy in developing Polymesh,https://t.co/mfntooREi4 an institutional-grade open-source blockchain built specifically for regulated assets, Polymath is rooted in technical expertise and a leader in the new era in fintech and defi, helping businesses build on their success. Polymath corporate headquarters are located in Toronto, ON Canada, with employees and customers around the globe. https://t.co/4q3nTenWSB

Escape the noise!!!! @psinergy_SDW But it’s not here yet! https://t.co/ke9hBBGSvo

RT @jwoodworthtalks: Regular humans, swimming upstream through the ongoing ridiculousness to continue to educate regarding the biodigital c…

Bring on the independent experts @7SEES. It's time we have this conversation. @psinergy_SDW @SKettenbei73754 @Imbackbitches45 @KristieIushkova

RT @SKettenbei73754: THIS IS MASSIVELY IMPORTANT !!! Specifically, High Performance Computing (HPC) Systems. There's a reason why all coun…

Here is the model architecture for the agents housed in the Inferium (hell) hub aka the lake of fire. 🔥 The Future of Generative AI in the Enterprise https://t.co/IQoIJWGevK https://t.co/jaeubt7pmL Powered by our patented agent orchestration technology, C3 Generative AI enables autonomous agents to reflect, collaborate, and execute complex workflows—retrieving data, analyzing information, and delivering precise, actionable insights for high-value enterprise use cases across industries. https://t.co/1UAZwzIG3q US12111859B2 - Enterprise generative artificial intelligence architecture An architecture for enterprise generative AI is disclosed herein to transform interactions with enterprise information that fundamentally change the human-computer interaction (HCI) model for enterprise software. Enterprises running sensitive workloads in both cloud-native, on premise, or air-gapped environments can implement enterprise generative AI architecture to generate enterprise-wide insights using tool to rapidly locate and retrieve with agents that develop and coordinate complex operations in response to simple intuitive input. The enterprise generative AI architecture enables enterprise users to ask open-ended, multi-level, context specific questions that are processed used generative AI with machine learning to understand the request, identify relevant information, and generate new context specific insights with predictive analysis. The enterprise generative AI architecture supports simplified human-computer-interactions with intuitive natural language interface as well as advanced accessibility features for adaptable forms of input including but not limited to text, audio, video, images, and more. https://t.co/I3k6M9SWT3

It should be called the Internet of entities not agents. They are housed in the lake of fire 🔥

AI-based digital health startups brought in 40 percent of Q1 2024's funding total, or $1.1 billion across 45 deals, rising from 33 percent of 2023 digital health funding and 29 percent of 2022’s funding pot. As of January 2024, approximately 80 percent of pharmaceutical and life sciences professionals use AI in drug discovery. AI technology can significantly reduce the time (from five or six years to just one year) pharmaceutical companies require to discover new drugs. Also, AI promises a potential cost reduction of up to 70 percent and an economic value of $60 billion to $110 billion a year for the pharma and medical-product industries. The latter is mainly possible because AI can accelerate the identification of compounds for potential new drugs, speed their development and approval, and improve how they are marketed. As of May 2024, the FDA approved 882 devices powered by artificial intelligence and machine learning. The top five application areas are radiology (671 devices), cardiovascular (90), neurology (32), hematology (17), and gastroenterology-urology (13).  https://t.co/tflDQs4x8d

RT @SKettenbei73754: @Ryansikorski10 High Performance Computing (HPC) Systems is needed for the Singularity !!!!! All systems intersect in…

Sol transatlantic cable (Google) Sol is a new transatlantic subsea cable system to connect the U.S., Bermuda, the Azores, and Spain. Alongside the Nuvem subsea cable,https://t.co/O0kn1oYCW5 Sol completes Google's investment in transatlantic resiliency — with the two systems interconnecting terrestrially in the U.S. and in Iberia, as well as in Bermuda and the Azores. The Sol cable will be manufactured in the U.S. and, once operational, bolster capacity and reliability for our growing network of 42 Google Cloud regions around the world, helping meet growing customer demand for Google Cloud and AI services across the U.S., Europe, and beyond. Palm Coast, Florida, will anchor the Sol cable in the U.S. We’ll partner with DC BLOX https://t.co/z72QWVRSS7 to land the cable and establish a new connectivity hub in the Sunshine State. We’ll also develop a terrestrial route linking Palm Coast to our South Carolina cloud region.https://t.co/k8ba76q4lD When it’s complete, Sol will be the only in-service fiber-optic cable between Florida and Europe. In Spain, we’ll partner with Telxius https://t.co/etrTFhO837 to provide the necessary infrastructure to land the Sol cable in Santander, further integrating the Google Cloud region in Madrid https://t.co/QDUaqw3bav into our global network.

https://t.co/Yx4rHwwg4H New Data Center Developments: July 2025 🔸North America Google has committed another $7 billion toward cloud, AI infrastructure, and workforce development programs in Iowa. Building on its history of spending in the state, the company plans to develop a new data center in Cedar Rapids and expand an existing facility in Council Bluffs. https://t.co/5xUO8jiJMg Northern Data Group released plans for a 20 MW-capacity facility for HPC and advanced AI model training. The Pittsburgh-located data center investment was announced as a foothold in North America, as the German-based company eyes future AI infrastructure projects in the US. https://t.co/mSMhwF70NQ Elsewhere in Pennsylvania, Constellation Energy confirmed Three Mile Island will begin producing power for Microsoft by 2027, a year ahead of its initially-projected schedule. Renamed the Crane power plant, the company is working to restart the Unit 1 reactor, which shut down in 2019. https://t.co/dppyF4PDgF In North Carolina, Amazon announced a $10 billion expansion of its Richmond County data center infrastructure. According to the company, its investment will create 500 high-skilled jobs in the state and bring education and training programs to local communities. https://t.co/l9q4vQXkm0 The hyperscaler (Amazon) also announced a $20 billion investment in Pennsylvania to build AI campuses. The first are slated for Salem Township and Falls Township, with future sites still being determined. This will be the largest capex in the state’s history. https://t.co/C6yFe9IJRA EdgeCore Digital Infrastructure is planning a 3.9 million sq.ft data center campus in Virginia with the capability of supporting 1.1 GW of power. Located on 697 acres of land in Louisa County, the project marks the company’s third data center in the state. https://t.co/DkM0jcS0pa In what may be an industry first, Cove Architecture has completed the design for a 10,000 sq. ft Colorado data center using entirely AI-driven processes. The project is currently going through the permitting process. https://t.co/li6q8SIRHt Sabey Data Centers broke ground on the final phase of its Ashburn data center campus expansion in Loudon County, Virginia, with an expected ready-for-service date in 2026. The additional capacity will initially deliver 18 MW of power capacity, with an additional 36 MW projected. https://t.co/JFnToVBhZD Crusoe and Redwood partnered on a 2,000-GPU data center on Redwood’s Nevada campus, powered by used batteries. https://t.co/tkX2V1Wvy6 🔸European Data Center Developments https://t.co/hIi1y2x4c3 🔸Asia-Pacific Data Centers Builds https://t.co/Yx4rHwwg4H

RT @KristieIushkova: The soul isn’t the same as the spirit. Demons are sentient, willful, deceptive, non-physical beings. They can’t act di…

RT @KristieIushkova: 🚨ITU-AI for Good GLOBAL Summit 2025🚨🎯 NOTE: More Upcoming. I will share the bulk, however, these are very long videos…