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…
Cytracom, a leading provider of Secure Access Service Edge (SASE) and Unified Communications as a Service (UCaaS) solutions for Managed Service Providers (MSPs), today announced the acquisition of Tentacle, a modern platform that helps organizations manage cybersecurity assessments, monitor third-party risk, and operationalize Governance, Risk, and Compliance (GRC) programs. This acquisition represents a significant advancement in…
KELA, ULTRA RED and SLING build resilience against cyber threats with industry-leading prioritization, triaging and proactive defenses KELA, a global leader in cyber threat and exposure intelligence solutions, today announced that Sysmex, a trusted global leader in healthcare solutions, has selected the KELA Group as its primary provider of external threat exposure management solutions. In…