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Super Micro Plans to Raise $7 Billion in Equity for AI Equipment
Super Micro Plans to Raise $7 Billion in Equity for AI Equipment Super Micro Computer Inc. plans to raise $7 billion through a package of equity offerings to purchase the components needed to fulfill customers’ orders for the company’s artificial intelligence servers. The offering will consist of $5 billion in underwritten offerings and $2 billion in an at-the-market program, which would involve Super Micro selling shares directly into the open market from time to time beginning “no earlier”...
HPE shares soar 37% on booming demand for AI infrastructure
Data centre equipment provider says sales of servers and networking equipment are rising rapidly
AI avatars and smart footballs: Inside FIFA's high-tech 2026 World Cup
FIFA is integrating AI-generated player avatars, tracking technology in the balls and digital coaching assistants in this year’s World Cup. As FIFA prepares for the World Cup to kick off in North America, it is set to deploy new technologies to improve both the game and the fan experience. From AI-generated player avatars and sensor-equipped match balls to a generative AI platform for team analysis, the governing body is introducing tools designed to support referees, teams and broadcasters...
Congo Eurobonds Defy Ebola as Investors Chase Rare Yield, AI Exposure
Doctors wearing personal protective equipment at the Ebola Treatment Center in Munigi on June 2.
Declarative Skills for AI Agents in Knowledge-Grounded Tool-Use Workflows
arXiv:2606.06923v1 Announce Type: new Abstract: We study orchestration mechanisms for tool-using AI agents in realistic customer-service workflows over an unstructured knowledge base. We argue that declarative agents -- AI agents equipped with natural-language skill files appended to the system prompt -- are an effective orchestration paradigm. Concretely, we compare (i) a DeclarativeAgent that reads three domain-specific skill files at inference time and decides its own control flow, (ii)...
IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation
arXiv:2606.04480v1 Announce Type: new Abstract: High-quality dynamic human pose annotation equips AI with precise motion kinematics to enable human behavior mastery, yet remains labor-intensive and time-consuming. Current annotation tools either lack temporal correction propagation or fail in multi-person scenarios, necessitating excessive manual intervention.
Extending the El Farol Bar Game with Partial Observability and Incentive Design
arXiv:2606.04753v1 Announce Type: new Abstract: The El Farol Bar game is a classic model of coordination under uncertainty, traditionally treating the venue as a passive constraint. In this work, we re-conceptualize the problem by modeling the bar as a strategic player equipped with AI-driven learning capabilities.
AI-powered spectrometer chip shrinks lab technology to the size of a grain of sand
A new AI-powered chip from UC Davis can analyze light and chemicals using a device tiny enough to fit almost anywhere. By combining smart silicon sensors with machine learning, it achieves lab-style spectral analysis without the bulky equipment.