Customers can now harness Grok models via OCI Generative AI service to tackle complex problems Powered by OCI AI infrastructure, Grok models will leverage OCI Compute instances with significant price-performance and scalability advantages xAI has selected Oracle to offer xAI’s Grok models via Oracle Cloud Infrastructure (OCI) Generative AI service for a wide range of use cases,…
Precision oncology leader joins world-class team as company enters next phase of translating AI-driven drug discovery into life-changing medicines. Isomorphic Labs, the AI-first drug discovery company, has announced the appointment of Ben B. Wolf, M.D., Ph.D., as Chief Medical Officer. Dr. Wolf will be based in the company’s newly established Cambridge location, where he will establish a group…
TCTM Kids IT Education Inc. (Nasdaq: VSA) (the “Company” or “VSA”) today announced that it has entered into a non-binding letter of intent (“LOI”) to acquire HopeAI Inc. (“HopeAI”), a leading artificial intelligence company specializing in AI-powered clinical development. This strategic move is expected to significantly advance VSA’s expansion into the AI biopharmaceutical sector and strengthen…
GoTo, the leader in cloud communications and IT, today announced the release of a new research report: The Pulse of Work in 2025: Trends, Truths, and the Practicality of AI. The report summarizes the findings of a survey of 2,500 global employees and IT leaders on AI use and sentiment, conducted in partnership with research firm Workplace…
The Powerful Combination of Vectra AI Analyst and Amazon Bedrock Delivers Real-Time, Scalable Defense for AWS Environments Vectra AI, Inc., the cybersecurity AI company that protects modern networks from modern attacks, today announced a significant expansion of its collaboration with Amazon Web Services (AWS), introducing a groundbreaking GenAI-powered analyst solution. At the core of this expanded collaboration, Vectra…
Groundbreaking analytics solution empowers companies to measure agents as they would their employees Pendo, the world’s first software experience management platform, today announced Pendo Agent Analytics, a first-of-its-kind solution that gives companies visibility into how AI agents are performing. Companies can leverage Pendo Agent Analytics in two powerful ways: To measure the performance of their digital workers…
Autoencoders and the Latent Space Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example of such models. These systems employ an encoder-decoder structure to project data into a low-dimensional latent space and then reconstruct it back to its original form. In this latent space, the patterns…
Introduction: The Need for Efficient RL in LRMs Reinforcement Learning RL is increasingly used to enhance LLMs, especially for reasoning tasks. These models, known as Large Reasoning Models (LRMs), generate intermediate “thinking” steps before providing final answers, thereby improving performance on complex problems such as math and coding. However, training LRMs with RL at scale…
In this tutorial, we delve into building an advanced data analytics pipeline using Polars, a lightning-fast DataFrame library designed for optimal performance and scalability. Our goal is to demonstrate how we can utilize Polars’ lazy evaluation, complex expressions, window functions, and SQL interface to process large-scale financial datasets efficiently. We begin by generating a synthetic…
The Challenge of Fine-Tuning Large Transformer Models Self-attention enables transformer models to capture long-range dependencies in text, which is crucial for comprehending complex language patterns. These models work efficiently with massive datasets and achieve remarkable performance without needing task-specific structures. As a result, they are widely applied across industries, including software development, education, and content…