
SandboxAQ
@sandboxaq
Leveraging AQ - the powerful compound effects of AI + Quantum technology
ID: 1505922041131769859
http://sandboxaq.com 21-03-2022 14:59:44
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We are thrilled to share that SandboxAQ has been named Sustainable Powertrain Test Innovation of the Year by Automotive Testing Technology International This award highlights the impact of our Large Quantitative Models in transforming how next-generation batteries are designed, tested, and brought to market.



On CNBC's Squawk on the Street Ⓙⓐⓒⓚ Ⓗⓘⓓⓐⓡⓨ joined Sara Eisen to discuss how Large Quantitative Models (LQMs) are reshaping industries like biopharma and cybersecurity. He explained how coding tools like Gemini and Codex are fueling a new competitive front in the AI arms race,



At the 2025 CNBC CEO Council Summit, SandboxAQ CEO Ⓙⓐⓒⓚ Ⓗⓘⓓⓐⓡⓨ joined Admiral Mike Rogers and CNBC’s Sara Eisen to tackle defining questions of this era of global transformation. From geopolitical tensions to the next chapter in AI, Jack emphasized the need for precise,


At this year’s RSAConference, SandboxAQ CEO Ⓙⓐⓒⓚ Ⓗⓘⓓⓐⓡⓨ joined the NYSE 🏛 to discuss why Large Quantitative Models (LQMs) are the engine behind the next wave of AI. In the interview, Jack breaks down: - Why investors like Ray Dalio, Jim Breyer, and Eric Schmidt are



At this year’s Special Competitive Studies Project AI Expo, SandboxAQ CEO Ⓙⓐⓒⓚ Ⓗⓘⓓⓐⓡⓨ joins SCSP President & CEO Ylli Bajraktari on stage to explore that question, along with how the U.S. can lead in the next era of strategic technology. Don’t miss this conversation. 📍 North Stage 📅 Monday, June 2 I 🕒



In this RSA Conference panel: “Machine Identity Management in a Post-Breach World," Kathryn Wang of SandboxAQ joins experts from Venafi, a CyberArk Company, Google, F5, and @GitHub to examine the operational and security risks tied to unmanaged certificates and machine identities. The message


We’re joining forces with Stand Up To Cancer to take a quantum leap in oncology. Stand Up To Cancer will integrate our Large Quantitative Models (LQMs) into its research pipeline to simulate biology at the molecular level. The goal: detect cancer earlier, personalize treatment, and monitor


Big week for SandboxAQ at The Battery Show Europe. We were proud to have Ang Xiao, Ph.D., our Technical Lead for AI in Materials Science, take the stage to present how Large Quantitative Models (LQMs) are revolutionizing battery materials discovery and accelerating sustainable



