Cornami, Inc.

Dr. Wally Rhines to Deliver a Keynote on Secure Sharing of Generative AI/LLMs with Post-Quantum Encryption IEEE World Summit AI INFRASTRUCTURE San Jose Convention Center – San Jose, CA November 14th, 2024 Combining proprietary corporate data with LLMs is driving revolutionary change. But the fine-tuning data that corporations are building on top of foundation models is so sensitive that most organizations are reluctant to host the resulting LLMs in the cloud or other publicly accessible platforms. The evolving solution is the use of fully homomorphic encryption (FHE) to provide quantum-proof protection so that all queries and computation are limited to data that remains encrypted at all times. To see the full schedule, or to register to attend: https://wts.ieee.org/ #fhe #IEEE #cybersecurity #fullyhomomorphicencryption #encryption IEEE #worldtechnologysummit #PostQuantumCryptography

Craig Gentry, Renowned Cryptographer, Joins Cornami as Chief Scientist, Algorithms Pioneering Researcher in Fully Homomorphic Encryption to Accelerate Cornami’s Innovation in Secure, High-Performance Computing Campbell, CA – Sept. 25, 2024 –Cornami named for a “tsunami of cores” is pleased to announce that Dr. Craig Gentry has joined the company as its Chief Scientist, Algorithms. Dr. Gentry brings a wealth of knowledge and experience in the field of cryptography and secure computation, enhancing Cornami’s mission to deliver real-time encrypted computing at scale. #fhe #fullyhomomorphicencryption #cybersecurity #encryption https://lnkd.in/gAYdZdvE

Secure Data Model Sharing with Post-Quantum Encryption Rapid adoption of large language models (LLMs) has created a critical need for sharing these models while preventing the users from copying, or reverse engineering, the models or the data they represent. Fully Homomorphic Encryption (FHE) provides a post-quantum approach to secure the publication of LLMs. Recent software and hardware developments will provide a way to perform this secure sharing at execution speeds comparable to inference done on unsecured LLMs. Dr. Rhines will review the emerging approaches and provide a roadmap for future developments that will make secure data sharing of LLMs pervasive. REGISTER HERE: https://lnkd.in/dux6XNTr #PPML #dataprivacy #cybersecurity #data #GDPR #DataSharing #fhe #fullyhomomorphicencryption #PostQuantumCryptography #kisacoresearch Kisaco Research

The Future of Computing Tuesday, July 9, 2024 10:30am – 3:50pm PDT Location: Moscone South, Exhibition Level Room 9 The future of computing hardware is at an inflection point, driven in large part by the advances in Artificial Intelligence (AI). While these advances have been remarkable, hardware challenges are emerging due to the rapidly increasing demands of new AI models in terms of performance, power and memory. This is driving a new wave of innovation in devices and architectures, and in disruptive technologies – especially quantum. In "The Collision of Big Data, Big Compute, and Big AI - The End of the von Neumann Era", Cornami’s Co-Founder and CTO, Paul Master examines the transformative impact of converging technological advancements – highlighting how the traditional von Neumann architecture, which has dominated computing for multiple decades, is becoming obsolete in the face of massive data volumes (Big Data), immense computational power (Big Compute), and advanced artificial intelligence (Big AI). To see the full schedule for this series, or to register to attend Semicon West: https://lnkd.in/gNsFF6iW

Special issue on privacy and security challenges of generative AI The use of Large Language Model (LLM) and Generative Pre-trained Transforms (GPT) technology based on Generative Artificial Intelligence (GAI) has become ubiquitous across various industries and societal domains due to their powerful capabilities in extracting, processing and expanding data, information, and knowledge. GAI can address the escalating demands of our digital life, encompassing cost, power, capacity, coverage, latency, efficiency, flexibility, compatibility, quality of experience and services. https://lnkd.in/gFakDgdC

As AI commercialization makes its way into the mainstream, data security becomes non-negotiable. That’s where Cornami, Inc. comes in. The fabless semiconductor company is developing a chip to power fully homomorphic encryption, a data protection technique that allows computer systems to access and manipulate encrypted data. “Because you never have to decrypt it, it means your data is never exposed to anyone else when it's in the data center,” says Walden C. ( Wally ) Rhines, Cornami president and CEO. SoftBank Investment Advisers talked with Cornami and three other Bay Area–based companies to learn how they are clearing the obstacles to AI adoption and unleashing its full potential within their businesses and beyond. Read our roundup for the full story. https://lnkd.in/gD6y6PeJ #AI #talent #security