Brief

CodeComplete AI has launched a self-hosted AI coding assistant designed for enterprise companies that cannot use tools like GitHub Copilot due to security and privacy concerns. The product fine-tunes open-source models on a company's private codebase, offering in-line code completions directly within the IDE. This approach ensures sensitive intellectual property remains within the company's firewall, addressing a key limitation of cloud-based AI development tools. AI

JumpWire, a Y Combinator-backed startup, has launched a new tool designed to automatically encrypt sensitive customer data within databases. The system acts as a transparent proxy, intercepting queries and encrypting specified data fields without requiring changes to existing applications. This approach aims to simplify data security for companies struggling with managing access to PII and avoiding costly custom logic or data vault solutions. AI

Squeaky.ai reduced its infrastructure costs by 35% by migrating its AI workloads to AWS Graviton processors. The company found that Graviton instances offered a better price-performance ratio compared to x86-based instances for their specific use cases. This move allowed them to reallocate savings towards further AI development and experimentation. AI

Patterns, a startup founded by former data scientists and engineers, has launched a platform designed to streamline the development and deployment of data and AI applications. The service aims to provide a 10x productivity boost by abstracting away complexities like compute management, orchestration, and visualization, functioning similarly to Heroku but specifically for AI apps. It targets data engineers and scientists frustrated with existing tools like Jupyter notebooks and Airflow, offering a reactive graph architecture with various node abstractions to simplify the creation of end-to-end data pipelines and automations. AI

Sieve, a video data research lab, has launched its platform offering petabytes of curated video data for AI applications. The service provides various data types, including general, cinematic, and paired media, with dense annotations and embeddings for instant searchability. Sieve's API is designed for scalability and security, catering to AI labs, Fortune 100 companies, and generative AI startups. AI

Nyckel, a Y Combinator-backed startup, has launched a platform designed to simplify the creation and deployment of machine learning classifiers for developers without prior ML experience. The service allows users to train models for image and text classification in minutes using minimal labeled data, abstracting away complex ML concepts. Nyckel's AutoML engine utilizes meta transfer learning and parallel processing to achieve rapid training times, with deployed models accessible via a REST API. AI

Morning Brief is a new product from two indie cofounders designed to aggregate and deliver personalized, summarized articles based on user-specified interests. The service ingests content from platforms like Hacker News, Reddit, and Twitter, employing custom semantic tagging and summarization models to ensure relevance and quality. While initially conceived as a weekend project, it has evolved into a significant undertaking requiring custom infrastructure and AI components to deliver timely, curated content effectively. AI

Xix.ai has launched "Entry," a biometric identity provider that uses facial recognition for secure web application authentication. The system supports standard protocols like SAML 2.0 and OIDC, aiming to prevent phishing and account takeovers by adding a facial biometric factor to workforce single sign-on. The company's expertise in computer vision, initially applied to combat human trafficking by searching online ads for missing children, informed their approach to developing a privacy-preserving, user-controlled biometric authentication solution. AI

IBM is seeking an experienced Cloud Native Infrastructure Engineer/Architect with a minimum of 12 years of experience in Kubernetes administration. The role emphasizes expertise in managing and optimizing cloud-native infrastructure, likely for AI-related workloads. This position highlights the growing demand for specialized skills in managing complex containerized environments essential for modern AI development and deployment. AI

Terusama, a startup founded by former Uber Freight and industry consultants, has launched a new truck appointment system designed to modernize warehouse logistics. The platform aims to automate the coordination of truck arrivals, check-ins, and tracking, addressing inefficiencies that cost the U.S. $30 billion annually and contribute to significant CO2 emissions. By streamlining communication and providing better visibility, Terusama seeks to improve the sustainability of the trucking industry and reduce driver turnover. AI

Canonical has released Ubuntu 19.10, focusing on enhancing AI/ML development and edge computing capabilities. The update includes improved support for Kubernetes at the edge via MicroK8s and integrates Kubeflow for machine learning workflows. Additionally, it offers better multi-cloud infrastructure economics and an improved desktop experience with performance enhancements and experimental ZFS support. AI

Google researchers have published a primer on MLIR, a compiler infrastructure designed to address the challenges posed by the end of Moore's Law in AI development. MLIR aims to provide a unified framework for optimizing machine learning workloads across diverse hardware architectures. This approach is crucial for maintaining performance gains as traditional hardware scaling slows down. AI