With each year, technology grows more mainstream and as such, cybersecurity grows in demand. This paper aims to explore the ...

Pippi-san, is...often ignoring my prompts.I am using AI to create characters for a Java picture book.At that time, I specify ...

TypeSafe AI's Jev turns agent decisions into typed probabilities. See 20 agentic use cases, benchmarks, pricing, and limits.

Difficult problems are about to arise regarding the core systems of Japanese companies.Hitachi will end sales of its ...

Azul Intelligence Cloud AI Assistant uses live Java data to help teams identify licensing, security, and unused-code risks.

As AI shrinks exploit timelines from weeks to hours, Azul Intelligence Cloud lets teams query runtime data in plain language to identify unpatched Java — before it becomes an incidentSUNNYVALE, Calif.

With the recent release of Java/OpenJDK 27 I began some fresh benchmarks in not having looked at the OpenJDK Java performance ...

Jev AI model testing reveals it operates 20 to 200 times faster than traditional models for classification. See how it handles 12 use cases.

Jev, TypeSafe AI's System One model — routers, guardrails, browser agents, SQL extensions — and what each one replaced.

Typesafe’s Jev gives agents fast, low-cost probabilities for decisions, avoiding unnecessary text generation in workflows.

TypeSafe AI's Jev returns typed decisions with calibrated probabilities instead of text, at $0.042 per 1M input tokens.

Almeida was an OpenAI researcher who helped build the chatbot and then invent reinforcement learning from human feedback (RLHF), the model-training technique perhaps most responsible for our current ...