Autonomous Vehicles

Artificial IntelligenceAutonomous VehiclesMachine LearningRobotics

Helping robots zero in on the objects that matter

A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.

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Artificial IntelligenceAutonomous VehiclesMachine LearningRobotics

Creating and verifying stable AI-controlled systems in a rigorous and flexible way

Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.

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Artificial IntelligenceAutonomous VehiclesMachine Learning

Researchers leverage shadows to model 3D scenes, including objects blocked from view

This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.

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AI StrategyArtificial IntelligenceAutonomous VehiclesPharma & HealthcareRetailSupply Chain

Multimodal AI: Shaping the Digital Strategy of Leaders in 2024 and Beyond

As we look towards 2024 and beyond, the adoption and integration of multimodal AI into digital strategies will be a defining factor for successful digital leadership. By leveraging its ability to process and analyze diverse data types, leaders can gain deeper insights, drive operational efficiency, foster innovation, and enhance cybersecurity. In essence, multimodal AI is not just a technological tool but a strategic asset that can redefine the trajectory of businesses in the digital age, offering a competitive edge in an increasingly complex and data-driven world. We explore the details and reald world case studies in this article.

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Artificial IntelligenceAutonomous VehiclesData Management PlatformIoTTechnologyVehicles and transportation

The Future of Mobility: Navigating the Era of Connected Experiences

As the era of connected experiences gains momentum, the role of Chief Data Officers (CDOs), along with CIOs and CTOs, has never been more pivotal. The opportunities are vast—ranging from enhancing customer experiences and driving operational efficiencies to creating entirely new business models. However, these benefits don’t come without their set of intricate challenges, including cybersecurity risks, data privacy issues, interoperability concerns, and the complexities of scaling systems.

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AutomobileAutonomous VehiclesDigitalSupply Chain

Riding the Future: How AI and Sensors are Paving the Road to Autonomous Vehicles

The convergence of AI, machine learning, and advanced sensors is more than a mere technological achievement; it’s the dawn of a new era in transportation. As Level 4 autonomy becomes commonplace, our roads will transform, becoming safer and more efficient. The next decade promises not only a change in how we drive but in how we perceive the very idea of mobility.

As the horizons of autonomous vehicles expand, intertwining with the broader tapestry of connected cities and homes, the implications extend far beyond mere convenience. These changes herald a shift in our societal structure, redefining urban landscapes, personal habits, economic models, and ethical paradigms.

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