Uploaded June 2026 | Updated September 2026, 2 weeks ago
SandboxAQ CEO Jack Hidary joins Cheryl Casone and Adam Johnson to discuss SandboxAQ's newly announced $500 million agreement with the U.S. Department of Commerce's CHIPS Research and Development Office.
In this interview, Hidary explains how SandboxAQ's Large Quantitative Models (LQMs) are accelerating breakthroughs in semiconductor manufacturing, including PFAS-free process chemicals, advanced catalysts, rare earth-free magnets, and next-generation battery systems. He also explains how LQMs differ from traditional Large Language Models (LLMs) and why they represent the next frontier for solving real-world scientific and industrial challenges.
The conversation also explores quantum-inspired computing, critical materials innovation, U.S. manufacturing resilience, and the integration of SandboxAQ's quantitative AI capabilities with leading language model platforms.
Watch to learn how SandboxAQ is bridging the gap between LLMs and LQMs (including a major new integration with Anthropic’s Claude) to revolutionize fields from semiconductor physics to drug discovery.
Key Topics Covered:
-The growth of the semiconductor industry past a $1 Trillion market.
-Quantum-inspired computing without quantum hardware.
-Critical materials innovation for next-generation batteries and catalysts.
-How LLM-to-LQM integration allows natural language to access complex chemistry.
Timestamps:
00:00 – SandboxAQ’s $500M CHIPS Act agreement explained
00:49 – Boosting US semiconductor manufacturing & resilience
01:15 – How AI tackles PFAS chemicals & eliminates rare earth magnets
01:54 – LLMs vs. LQMs: What is a Large Quantitative Model?
02:47 – Running quantum equations at scale on GPUs (Nvidia & Google)
03:56 – SandboxAQ’s Anthropic Claude integration & the future of AI drug discovery
05:10 – Improving AI medical accuracy for real-world impact
Learn more about SandboxAQ materials discovery here: sandboxaq.com/solutions/material-discovery
#SandboxAQ #LQMs #AI #Semiconductors #CHIPSAct #QuantumTechnology #MaterialsScience #Manufacturing #LQM #ArtificialIntelligence #Innovation #aqchemsim
SandboxAQ CEO Jack Hidary joins Cheryl Casone and Adam Johnson to discuss SandboxAQ's newly announced $500 million agreement with the U.S. Department of Commerce's CHIPS Research and Development Office.
In this interview, Hidary explains how SandboxAQ's Large Quantitative Models (LQMs) are accelerating breakthroughs in semiconductor manufacturing, including PFAS-free process chemicals, advanced catalysts, rare earth-free magnets, and next-generation battery systems. He also explains how LQMs differ from traditional Large Language Models (LLMs) and why they represent the next frontier for solving real-world scientific and industrial challenges.
The conversation also explores quantum-inspired computing, critical materials innovation, U.S. manufacturing resilience, and the integration of SandboxAQ's quantitative AI capabilities with leading language model platforms.
Watch to learn how SandboxAQ is bridging the gap between LLMs and LQMs (including a major new integration with Anthropic’s Claude) to revolutionize fields from semiconductor physics to drug discovery.
Key Topics Covered:
-The growth of the semiconductor industry past a $1 Trillion market.
-Quantum-inspired computing without quantum hardware.
-Critical materials innovation for next-generation batteries and catalysts.
-How LLM-to-LQM integration allows natural language to access complex chemistry.
Timestamps:
00:00 – SandboxAQ’s $500M CHIPS Act agreement explained
00:49 – Boosting US semiconductor manufacturing & resilience
01:15 – How AI tackles PFAS chemicals & eliminates rare earth magnets
01:54 – LLMs vs. LQMs: What is a Large Quantitative Model?
02:47 – Running quantum equations at scale on GPUs (Nvidia & Google)
03:56 – SandboxAQ’s Anthropic Claude integration & the future of AI drug discovery
05:10 – Improving AI medical accuracy for real-world impact
Learn more about SandboxAQ materials discovery here: sandboxaq.com/solutions/material-discovery
#SandboxAQ #LQMs #AI #Semiconductors #CHIPSAct #QuantumTechnology #MaterialsScience #Manufacturing #LQM #ArtificialIntelligence #Innovation #aqchemsim
