Pierre-Eric Jacoupy’s Post

Have you noticed how everyone's talking about AI and #NVIDIA, but it seems like #IBM is flying under the radar? I don't know why, but the world seems to be sleeping on them, especially with the whole quantum computing thing about to blow up very soon. Sure, there are other big names in the game, like Google and Microsoft, but IBM seems to be doing more to develop the space and create awareness. Their #Qiskit library is open source, and they've got tons of free educational resources. While Google has Cirq and Microsoft QDK,  Qiskit has the largest and most active developer community. This is due to its early start, comprehensive features, educational resources, and strong support from IBM. The Qiskit community is highly active on platforms like Stack Exchange, Slack, and GitHub, with numerous tutorials, examples, and open-source projects available. I think that's pretty clear which horse we should be betting on. #Quantumcomputing is still pretty new, but the potential is huge. Imagine transforming drug discovery, revolutionizing materials science, space exploration, making weather forecasts super accurate, and even tackling big problems like hunger. It sounds like sci-fi, but it could be closer than we think. IBM is betting big on this, and I wouldn't be surprised if they ended up leading the charge. They're definitely a company to watch in this space. #technology #science

New supercomputing network could lead to #AGI, scientists hope, with 1st node coming online within weeks - The supercomputers, built by SingularityNET will form a "multi-level cognitive computing network" that will be used to host and train the architectures required for AGI, company representatives said in a statement. Read full article 👇 https://lnkd.in/gVg53Sxn #ai #artificialintelligence #supercomputer #science #hpc #highperformancecompute #datacenter #cloudcomputing

Microsoft announces two powerful new capabilities in Azure Quantum Elements: Generative Chemistry and Accelerated DFT. This exciting introduction will improve productivity in scientific research by making discoveries faster and easier. https://lnkd.in/ebhdt7r8

Google creates the Mother of all Computers: One trillion operations per second The newest technological creation from Google is the exascale supercomputer. It is set to completely alter the current outlook of computing space due to its almost incomprehensible computing speed of one trillion operations per second. It can perform a quintillion, that is, a billion, calculations per second, making it far superior to anything previously developed. Supercomputers at the extreme level will bring progress in climate change research, artificial intelligence, and medicine. For instance, climate research could allow for detailed simulations that could otherwise not be done and make predictions of climate change impacts over a long time with high precision. As for the application area, medicine seems to potentially become revolutionized by exascale computing, especially drug discovery processes. Machine learning could process large sets of data about molecular interactions. It may help to advance the concept of pharmacogenomics, which is the prescription of medications based on the person’s genetic makeup. This not only may improve the treatment of patients but also may accelerate the entire research and development process of new therapy. How exascale computing transforms scientific research across disciplines The capability of exascale computing to handle massive amounts of data and run through simulation has created new avenues for scientific modeling. From mimicking black holes and the birth of galaxies to introducing newer and evolved treatments and diagnoses through customized genome mapping across the globe, this technology has all the potential to burst open newer frontiers of knowledge about the cosmos. While current supercomputers would otherwise spend years solving computations, exascale machines will pave the way to areas of knowledge that were previously uncharted. For instance, the exascale solution in astrophysics holds the prospect of modeling many phenomena, such as star and galaxy formation, with higher accuracy. For example, these simulations could reveal new detections of the fundamental laws of physics and be used to answer questions about the universe’s formation. In addition, in fields like particle physics, researchers could analyze data from high-energy experiments far more efficiently and perhaps discover more about the nature of matter in the universe. AI is another area to benefit from exascale computing for a supercharge in performance. Present models of AI are very efficient, but the current computing machines constrain them. As the exascale computing fundamental is applied, researchers prepare their AI systems to handle more complex data sets to identify complex patterns in language and decision-making. This evolution in AI technology may change areas such as self-driving cars, robotics, etc. This remarkable achievement, however, is shadowed by a critical dilemma: how will these systems be ‘powered’? Credit: ecoticias

Microsoft, Quantinuum combine HPC, AI, quantum to solve real-world chemistry problem #DataCenter #IndustrialComputing #CloudComputing #AI #EdgeComputing #QuantumComputing

The growing number of #AI use cases show that AI can augment classical computing capabilities. Artificial intelligence can also enhance the capabilities of quantum computing, and IBM is paving the way for artificial intelligence to complement the development of quantum computing. IBM combines both technologies to improve quantum computing and accelerate its deployment. The company is integrating its AI technology (#watsonx, Granite models) with #Qiskit software to improve ease of use of #SDK tools and #OpenQASM3 (open quantum assembly language) to generate digital agents capable of providing developer support and quantum code assistance. To learn more, follow the link below https://lnkd.in/dYMVeQ3Q Piotr Biskupski, Tomasz Stopa, Slawomir Kumka #IBMQuantum, #GenAI,

Multiverse Computing Launches ML Classification in Qiskit https://lnkd.in/d9wWyGAY #AIsoftware #AITech365 #FunctionsCatalog #machinelearning #MultiverseComputing #news #Qiskit #Quantum

Opsss "Generative AI for quantum on watsonx To better streamline the quantum development process, IBM is pioneering the use of generative AI for quantum code programming through watsonx, the enterprise AI platform from IBM. We demonstrate how generative AI available through watsonx can help automate the development of quantum code for Qiskit. We achieve this through the fine-tuning of the IBM Granite 20-billion parameter code foundation model." https://lnkd.in/d2hGfGTq

Microsoft, Quantinuum combine HPC, AI, quantum to solve real-world chemistry problem #DataCenter #IndustrialComputing #CloudComputing #AI #EdgeComputing #QuantumComputing

Today, Microsoft announced two new purpose-built capabilities in Azure Quantum Elements that will further increase the productivity and accessibility of chemistry and materials science research—Generative Chemistry and Accelerated DFT. This was done in collaboration with Quantinuum leveraging their H1-2 quantum hardware. In the coming months, they will introduce advanced logical qubit capabilities from Microsoft and Quantinuum to the private preview of Azure Quantum Elements. This not only starts to demonstrate convergence of AI and Quantum but has the potential to disrupt drug discovery and have a huge positive impact on humanity. #quantumtechnology #quantumchemistry #AI #serendipitycapitalportfolio