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KPM Analytics has introduced the SiftAI Robotic Sorter, an automated system designed for the final inspection and sorting of fresh-pack potatoes. Developed under its Smart Vision Works brand, the system addresses challenges in the potato processing industry, including labor shortages, grading inaccuracies, and product waste.

A recent study by Economist Impact, commissioned by Databricks, has revealed that while generative AI (GenAI) adoption is widespread among global enterprises, only 22% of organizations believe their IT infrastructure is prepared to support the next wave of AI applications. The report, titled *Unlocking Enterprise AI: Opportunities and Strategies*, surveyed 1,100 technical executives and practitioners across 19 countries and highlighted the complexities of scaling AI across industries.

Computer Scientist Dr. Ben Goertzel, founder of SingularityNET, has announced a grant program exceeding $1 million to support developers working on AGI advancements aimed at benefiting humanity. The initiative, launched through SingularityNET’s DeepFunding program, seeks to foster innovative research and development projects that align with the organization’s mission of creating a decentralized and democratic AGI.

The global military robots market is projected to grow by USD 8.62 billion from 2024 to 2028, achieving a compound annual growth rate (CAGR) of approximately 8.51% during the forecast period, according to a report by Technavio. This growth is driven by the increasing demand for advanced autonomous systems in defense applications, particularly for tasks such as border surveillance, patrolling, bomb disposal, reconnaissance, and logistics support. The development of multi-mission robots and the integration of artificial intelligence (AI) and machine learning (ML) to enhance situational awareness and decision-making capabilities are trends shaping the market.

Kubota Tractor Corporation has been named the “Best of Innovation” award recipient at the CES Innovation Awards 2025 for its all-terrain KATR robot. Recognized in the Industrial Equipment and Machinery category, the KATR was selected by a panel of judges for its advanced engineering, functionality, and design, making it a notable advancement in agricultural and construction technology.

The world of robotics is changing. The humanoids are coming! And they are coming in hot. They already work in leading car manufacturers’ pilot projects behind closed doors. And: They will become an increasingly important part of our everyday lives.

At the Databricks Data + AI World Tour in Amsterdam, Heineken gave some insights into its data and AI transformation journey. As a global brewer with over 250 brands and operations in 72 diverse markets, Heineken shared its strategy for becoming the Best Connected Brewer, leveraging data and AI to streamline operations, enhance customer engagement, and drive efficiency across its value chain.

Yesterday, Databricks welcomed around two thousand attendees at the Johan Cruijff ArenA in Amsterdam for the Dutch edition of their Data + AI World Tour. The event, one of the largest in Northern Europe for Databricks, focused on generative AI, a technology rapidly gaining traction in organizations worldwide. The central theme of the gathering was trust in AI — a fundamental component that Databricks deems essential for the effective and responsible use of AI.

Delta has integrated its D-Bot Series collaborative robots (cobots) with NVIDIA’s Omniverse and Isaac Sim platforms. This integration aims to enhance robotics simulation capabilities, allowing developers to create real-time, high-fidelity simulations for the development and deployment of advanced robotics.

Researchers at TU Wien (Vienna University of Technology) have developed a robotic arm capable of learning to clean washbasins through imitation. By observing human actions, the robot adapts to various basin shapes and applies appropriate force for effective cleaning. The development addresses challenges in automating tasks like bathroom cleaning, where fixed programming would be inefficient due to the variations in basin design and required pressure at different points.