All stories tagged machine-learning on The Silicon Valley News.
OpenAI's upcoming Astra model leverages recurrent depth to process complex tasks through dynamic, looping neural layers, promising efficiency but complicating safety verification.
Despite significant advancements in large language models, human children continue to learn language with vastly greater data efficiency, highlighting a critical unsolved challenge for AI development.
Nous Research's new open-source NousCoder-14B model demonstrates a competitive edge against larger proprietary systems in programming tasks, highlighting advancements in efficient AI model development and training on specialized hardware.
New research suggests large language models possess fundamental architectural vulnerabilities, making them inherently susceptible to attack and raising critical questions about their secure deployment in sensitive applications.
Synthesia evolves its AI-driven corporate training by launching AI Roleplay Sessions, enabling interactive live coaching with real-time feedback and performance analytics.
Databricks has solidified its status as a key AI platform by advancing open weight AI models that reduce coding costs, extending its strategic pivot beyond data analytics.
Thinking Machines unveils Inkling, its first open AI model, marking a strategic shift towards customizable AI infrastructure beyond generic solutions.
Former OpenAI researcher Miles Wang is developing an AI-powered drug discovery platform targeting accelerated breakthroughs in medicine.
French AI startup ZML has introduced ZML/LLMD, a free product designed to optimize and speed up AI inference workloads on multiple hardware platforms.