by Csongor Fekete | Jul 1, 2025 | AI, Business, Machine Learning
Google DeepMind has unveiled a new approach to deploying optimized Machine Learning models directly on robots—eliminating the need for constant cloud connectivity and reducing latency. The RT-2 model, a vision-language-action (VLA) system, can now function efficiently on-device thanks to quantization and neural architecture refinement, making the models lightweight without compromising intelligence.
Instead of relying on the cloud, RT-2's smaller and faster versions can now run on edge devices, like robots, in real time. This enables more responsive, energy-efficient decision-making and opens the door to widespread autonomous applications across industries—from manufacturing to customer-oriented services. DeepMind’s demonstration showed robots interpreting abstract commands and completing them with high accuracy, a feat typically requiring massive computing resources.
The key takeaways are:
- Smaller, more efficient custom AI models increase edge computing capability.
- On-device models reduce costs, privacy concerns, and cloud-dependency.
- Real-time robotic responsiveness enhances automation and operational performance.
In a martech context, this kind of innovation could be transformative. For instance, a retail business using in-store robots powered by similar on-device AI could deliver hyper-personalized customer support—answering questions, guiding visitors, and optimizing store layout via real-time feedback. This not only improves customer satisfaction but also provides valuable insights for marketing teams.
HolistiCrm, as an AI consultancy focused on holistic AI adoption, recognizes the potential of bringing custom AI models into edge environments like stores, warehouses, or events. By combining performance-driven Machine Learning models with real-time localization and personalization, businesses can unlock operational efficiency and meaningful brand experiences.
Original article: https://news.google.com/rss/articles/CBMihgFBVV95cUxPTTZKcTdjWXZFTFlwRDliQ1BvVlRtZkZMdklkU1MwZ0tVRUFUdXlxTG9fWHVVSG8zM2lZSk5FeDY2R24wb0Rtdlc5ZEsycW82b25icmE3Z1ZWdkZuRWZjdllQSkgtN0l2ZlNBWHFiOHBwS0pRMGF0Q1R0REpwM3J4Z3J1N0p3dw?oc=5
by Csongor Fekete | Jul 1, 2025 | AI, Business, Machine Learning
A recent breakthrough in medical AI shines a spotlight on the astonishing potential of custom AI models in high-stakes decision-making. A new Machine Learning model, developed by researchers and featured in SciTechDaily, can diagnose brain tumors with 99% accuracy—without the need for invasive surgery. The algorithm leverages genomic and molecular data to distinguish between tumor types, providing instant, non-invasive diagnostics that outperform traditional biopsy methods in speed, safety, and accuracy.
This innovation highlights core principles that modern martech and AI agencies like HolistiCrm aim to bring into customer-centric industries: developing custom AI models that drive automation, improve decision-making, and dramatically enhance performance and satisfaction. In healthcare, the stakes are life-and-death—but the underlying AI capabilities are directly applicable across business sectors.
For example, a customer service-focused use case could mirror this diagnostic model. By analyzing communication data (texts, emails, CRM logs), a custom AI model could predict customer churn or dissatisfaction before it happens—just as the tumor-detection model identifies disease before symptoms escalate. This allows a business to intervene early with personalized messaging and tailored offers, boosting retention and long-term value.
The lesson is clear: AI consultancy and AI expert solutions are not just about tech—they’re about transforming the business experience holistically. Whether in medicine or marketing, intelligence at the point of decision is key. Companies that implement targeted Machine Learning models enhance performance, deepen customer satisfaction, and stay competitive in digitally accelerating environments.
original article: https://news.google.com/rss/articles/CBMimgFBVV95cUxQTVdLSWdEeFBzenB6QmtoOXBOVkdkZ21jdUtiVHVDei1uem5FX1k4blc2cVlPZGVLdE1TQUJvWU1UU2xIemhzRDRCQTBfcGViZkZ6bk1Zb2lGaFV1N1RjQTBOY2h2aExOaHplbFhTSi1CZVFBTzdjLVVGcnhiTHVqZklhSWJNQlZxbVRpWWpNM1pfcFlvcHFTZzZR?oc=5
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