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- Humanoid Robot Learns Tennis, Signaling a Leap for Embodied AI
Humanoid Robot Learns Tennis, Signaling a Leap for Embodied AI
Microsoft Unveils Enterprise Modernization Agents for Azure and GitHub

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Microsoft has launched new AI agents, including the Azure Copilot Migration Agent and a GitHub Copilot "modernization agent," both currently in public preview . These agents are designed to automate the assessment of legacy applications and their transformation into cloud- and AI-ready systems, drastically reducing planning time from months to minutes. This initiative aims to bridge the gap between code modernization and infrastructure governance, ensuring consistent and repeatable agentic execution across development and deployment environments.
SoundHound AI has unveiled the world's first multimodal, multilingual Agentic+ AI platform, designed to run entirely on-device. This breakthrough integrates Vision AI directly into conversational flows, enabling vehicles to "see" and reason locally without relying on cloud connectivity . This innovation significantly enhances user privacy and guarantees 100% uptime for in-vehicle AI systems, offering OEMs a flexible platform compatible with various protocols for integrating diverse agents.
Researchers from Tsinghua University, Peking University, Galbot, Shanghai Qi Zhi Institute, and Shanghai AI Laboratory introduced LATENT, a system that taught a Unitree G1 humanoid robot to rally tennis balls using only imperfect motion fragments from amateur human players rather than full match recordings. In real-world testing, the robot sustained multi-shot rallies with humans and achieved 90.9% forehand return success and 77.8% backhand return success, tackling one of robotics’ harder challenges: fast, reactive whole-body coordination against balls traveling at real tennis speeds.
Strategically, this matters because it suggests athletic humanoid skills may not require massive volumes of perfect demonstration data to become usable. That lowers the barrier to training embodied agents for dynamic real-world tasks, where fast perception, footwork, and physical response matter far more than static manipulation in controlled lab settings.
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Okta introduced a new security blueprint for enterprises deploying AI agents and said Okta for AI Agents will become generally available on April 30, 2026. The release matters because it treats agents as first-class identities, adds integrations for platforms like Boomi, DataRobot, and Vertex AI, and frames agent governance as a core infrastructure layer rather than a bolt-on security feature. Source: Okta announcement
Pactum launched a Requisition Alignment Agent embedded inside procure-to-pay systems such as SAP and Coupa. Strategically, this is another sign that agentic AI is moving from chat interfaces into enterprise transaction layers, where agents can validate requests, enforce policy, and accelerate procurement workflows inside the system of record. Source: Pactum announcement

A recent "AI Traffic Report" by DataDome indicates a significant surge in AI agent requests, with 7.9 billion recorded in early 2026, marking a 5% quarter-over-quarter increase . The report highlights a growing "identity crisis" online, characterized by widespread spoofing of known agents such as Meta-externalagent and ChatGPT-User, with 2.4% of PerplexityBot requests found to be fraudulent. DataDome urges organizations to adopt intent-based agent classification over traditional user-agent strings to effectively manage security risks posed by these "shadow agents."
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What to Watch this Week
🎙️AI on Fire: Real Builders. Real Heat.
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