Franz Inc. announced the release of Allegro CL v11, which includes key performance enhancements now available within the most effective system for developing and deploying applications to solve complex problems in the field of Artificial Intelligence.
"The rapid adoption of Generative AI (LLMs) is fueling heightened demand for guided, fact-based applications which is significantly impacting applications in traditional AI industries like national defense, as well as in life sciences, manufacturing, and financial analytics. The complexity of today's software applications coupled with the explosion of data size requires a highly versatile and robust programming language. With Allegro CL v11, machine intelligence developers now have a high-performance tool to scale their applications and deliver innovative products to market," said Dr. Jans Aasman, CEO of Franz Inc.
There has been a remarkable surge in Artificial Intelligence technologies, prompting MarketsandMarkets to estimate the artificial intelligence (AI) market to be worth $150.2 Billion in 2023, growing at a Compound Annual Growth Rate (CAGR) of 36.8% from 2023 to 2030.
The combination of Allegro CL and AllegroGraph offers a unique and powerful, dynamic Artificial Intelligence development system that is especially well-suited for enterprise-wide Neuro-Symbolic AI applications. Merging classic AI symbolic reasoning, Large Language Models (LLMs), and Knowledge Graphs empowers Franz's customers to deliver the next wave of advanced AI applications.
"Franz has further advanced its industrial-strength Common Lisp platform with the release of Allegro CL 11. Impressive ARM support on both Mac and Linux means switching architectures is painless. Internally, hashtables and sorting are measurably improved. ACL 11 is a great platform for development professionals," said Jason Cornez, CTO of RavenPack.
"Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. RavenPack's clients use news analytics to enhance returns, reduce risk, or increase efficiency by systematically incorporating the effects of public information in their models or workflows. Allegro CL's new capabilities will continue to facilitate Ravenpack's low latency text and sentiment analysis that they deliver as a real-time data feed," said Dr. Aasman.
"Common Lisp remains one of the best languages for Artificial Intelligence applications, its flexibility enables rapid experimentation and deployment. Today's Lisp compilers are robust and flexible allowing development entirely within Lisp or in combination with other languages. For example, our CyclePad system for helping engineering students learn thermodynamics is written entirely in Allegro CL. Similarly, our sketch understanding system, CogSketch, which is a novel platform for both cognitive science research and education is primarily written in Allegro CL with two modules in C," said Professor Ken Forbus, Walter P. Murphy Professor of Computer Science at Northwestern University.
"For several years now, Triton has been harnessing the extraordinary power and flexibility of Common Lisp, and more specifically the Allegro CL platform, to research and rapidly develop cutting-edge approaches for the implementation of advanced embedded AI prototypes. With Allegro CL 11, this superbly integrated development platform continues to evolve with many powerful and handy new capabilities," said Panos Lekkas, VP, AI Systems at Triton Systems, Inc.
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