#SandboxAQ announced a collaboration with #NVIDIA aimed at accelerating breakthroughs in scientific discovery and industry innovation through the deployment of a new Large Quantitative Model #LQM platform powered by NVIDIA DGX Cloud on #GoogleCloud.
pureai.com/articles/202...
The Role of Large Quantitative Models in Drug Discovery. Q&A with SandboxAQ vice president of engineering Stefan Leichnauer. #AI #LQM #artificialintelligence #medicine
aibusiness.com/language-mod...
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
Feeding the Virtuous Cycle of Discovery: HPC, Big Data, and AI Acceleration GenAI hit the scene f...
www.hpcwire.com/2025/02/06/feeding-the-v...
#Features #GenAI #hallucinations #LLM #LQM #LQMs #Virtuous #Cycle
Event Attributes
“The models that we train are neural network models and knowledge graphs, but they’re not transformers,” said Hidary. “You can generate from equations, but you can also have quantitative data coming from sensors or other kinds of sources and networks.” #AI #LQM #artificialintelligence
“If I have a portfolio and I want to know what the tail risk is given changes in this portfolio,” said Hidary, “what I’d like to do is I’d like to create 300 to 500 million versions of that portfolio with slight changes to it, and then I want to look at the tail risk.” #AI #LQM
Similarly, in pharmaceutical development, where traditional approaches face a high failure rate in clinical trials, LQMs can analyze molecular structures and interactions at the electron level. #AI #LQM #artificialintelligence
This approach enables breakthroughs in areas where traditional methods have stalled. For instance, in battery development, where lithium-ion technology has dominated for 45 years, LQMs can simulate millions of possible chemical combinations without physical prototyping. #AI #LQM
Unlike LLMs that process internet-sourced text data, LQMs generate their own data from mathematical equations and physical principles. The goal is to tackle quantitative challenges that an enterprise might face. “We generate data and get data from quantitative sources,” Hidary explained. #AI #LQM
“It’s all about core product creation at the companies that use our AI,” SandboxAQ CEO Jack Hidary told VentureBeat. “And so if you want to create a drug, a diagnostic, a new material or you want to do risk management at a big bank, that’s where quantitative models shine.” #AI #LQM
The key advantage of LQMs is their ability to tackle complex, domain-specific problems in industries where the underlying physics and quantitative relationships are critical. #AI #LQM #artificialintelligence
Among the leading advocates and commercial vendors of LQMs is SandboxAQ, which today announced it has raised $300 million in a new funding round. The company was originally part of Alphabet and was spun out as a separate business in 2022. #AI #LQM #artificialintelligence
LQMs are trained to optimize for specific objectives and parameters relevant to the industry or application, such as material properties or financial risk metrics. This is in contrast to the more general language understanding and generation tasks of LLMs. #AI #LQM #artificialintelligence
Beyond LLMs: How SandboxAQ’s large quantitative models could optimize enterprise artificial intelligence(AI). #AI #LQM #artificialintelligence
venturebeat.com/ai/beyond-ll...
The architecture of Large Quantitative Models (LQMs) would likely involve a sophisticated integration of several advanced AI and machine learning techniques, tailored specifically for quantitative analysis. #AI #LQM #artificialintelligence
Unlike Large Language Models (LLMs), which excel in language-related tasks, LQMs focus on handling large-scale numerical datasets, performing complex calculations, statistical analysis, predictive modeling, and optimization tasks. #AI #LQM #artificialintelligence
As AI continues to evolve, the idea of Large Quantitative Models (LQMs) emerges as a promising development, particularly for fields that heavily depend on numerical data, mathematical modeling, and statistical analysis. #AI #LQM #artificialintelligence
The Future of AI: Large Quantitative Models (LQMs) as the Next Frontier in Data-Driven Decision Making[Riaz Laghari]. #AI #LQM #artificialintelligence
medium.com/@riazleghari...
For quantitative AI - the next stage of AI's development and impact - a whole ecosystem of stakeholders must convene to deliver on the opportunity. #AI #LQM #artificialintelligence
The next evolution of AI, led by the proliferation of Large Quantitative Models (LQMs), will drive measurable impact on our physical world by creating more effective new drugs, better, safer products, more robust financial systems and a healthier planet. #AI #LQM
www.weforum.org/stories/2025...
René Audet présente les travaux du pôle Québec du projet Littérature québécoise mobile en lien avec les arts littéraires, lors des 4es rencontres sur les arts littéraires, à Rimouski
« Nommer les arts littéraires. Quelques propositions pour leur médiation », présentation bien reçue aux 4es rencontres des arts littéraires (organisées par le RAPAIL) #artslitt #LQM @lqmquebec.bsky.social www.rapail.ca/rencontres-a...