ai/ml - Robotic Content

A Reinforcement Learning Based Universal Sequence Design for Polar Codes

by AI Generated Robotic ContentFAANG February 4, 2026Comments are Disabled

To advance Polar code design for 6G applications, we develop a reinforcement learning-based universal sequence design framework that is extensible and adaptable to diverse channel conditions and decoding strategies. Crucially, our method scales to code lengths up to 2048, making it suitable for use in standardization. Across all (N,K)(N, K)(N,K) configurations supported in 5G, our …

Democratizing business intelligence: BGL’s journey with Claude Agent SDK and Amazon Bedrock AgentCore

by AI Generated Robotic ContentFAANG February 4, 2026Comments are Disabled

This post is cowritten with James Luo from BGL. Data analysis is emerging as a high-impact use case for AI agents. According to Anthropic’s 2026 State of AI Agents Report, 60% of organizations rank data analysis and report generation as their most impactful agentic AI applications. 65% of enterprises cite it as a top priority. …

How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions

by AI Generated Robotic ContentFAANG February 3, 2026Comments are Disabled

This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing high volumes of patient calls efficiently. From appointment scheduling and prescription refills to billing inquiries and urgent medical concerns, practices face the challenge of providing timely responses while maintaining quality patient care. Traditional phone systems …

Build intelligent employee onboarding with Gemini Enterprise

by AI Generated Robotic ContentFAANG February 3, 2026Comments are Disabled

Employee onboarding is rarely a linear process. It’s a complex web of dependencies that vary significantly based on an individual’s specific profile. For example, even a simple request for a laptop requires the system to cross-reference the employee’s role, function, and seniority level to determine whether they need a high-powered workstation or a standard mobile …

Self-Supervised Learning with Gaussian Processes

by AI Generated Robotic ContentFAANG January 31, 2026Comments are Disabled

Self supervised learning (SSL) is a machine learning paradigm where models learn to understand the underlying structure of data without explicit supervision from labeled samples. The acquired representations from SSL have demonstrated useful for many downstream tasks including clustering, and linear classification, etc. To ensure smoothness of the representation space, most SSL methods rely on …

How Palantir AIP Accelerates Data Migration

by AI Generated Robotic ContentFAANG January 30, 2026Comments are Disabled

The Octopus Model for Enterprise Transformation Enterprise data migration can be among the most costly, complex, and time-consuming endeavors organizations undertake — but it doesn’t have to be. Traditional migrations require coordinating consultants alongside separated internal business and technology teams to unlock the potential of data stored in brittle ERP system, customized SAP legacy instances, or even …

Scaling content review operations with multi-agent workflow

by AI Generated Robotic ContentFAANG January 30, 2026Comments are Disabled

Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation. Ensuring this information remains accurate, relevant, and aligned with the latest business facts is a formidable challenge. Manual content review processes are often slow, costly, and unable to keep pace with dynamic business needs. According …

Introducing Conversational Analytics in BigQuery

by AI Generated Robotic ContentFAANG January 30, 2026Comments are Disabled

Businesses want to move quickly and make informed decisions, but the explosion of data in today’s organizations often can leave knowledge teams buried and business users waiting in lengthy queues for the data insights they need. AI agents promise to fundamentally change this relationship, empowering users to move faster from data to action. Today, we …

SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?

by AI Generated Robotic ContentFAANG January 28, 2026Comments are Disabled

The common approach to communicate a large language model’s (LLM) uncertainty is to add a percentage number or a hedging word to its response. But is this all we can do? Instead of generating a single answer and then hedging it, an LLM that is fully transparent to the user needs to be able to …

Correcting the Record: Response to the EFF January 15, 2026 Report on Palantir

by AI Generated Robotic ContentFAANG January 28, 2026Comments are Disabled

Editor’s Note: This blog post responds to allegations published by the Electronic Frontier Foundation (EFF) in relation to Palantir’s work with Immigration and Customs Enforcement (ICE). We believe it’s important to address misconceptions (as we have previously) about our technology and business practices with transparency and factual accuracy. Introduction The Electronic Frontier Foundation (EFF) has …