Resolve the Data Discrepancy Conundrum in Your Supply Chain Cycles with Blockchain Emerging technology offer promising improved operations throughout the supply chain. Blockchain can be the next step in evolving functions of various industries. The use of blockchain for supply chain has the potential to improve supply chain transparency, traceability and administrative costs.

One of the most promising innovative technological applications is the use of blockchain for the supply chain management. Blockchain – the digital system of recording developed for cryptocurrency networks –…

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Liquid Robots: A Marketing Gimmick or the Future of Automation? The concept of liquid robots promises to be transformative for robotics and automation in multiple ways. One of them involves the reduced consumption of power to keep such robots running.

Over the decades, robots have become progressively smaller in size. After humanoid robots brought the convenience of robotics and automation into smart homes, the emergence of tiny swarm robots and…

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Leveraging Computer Vision To Optimize Property Valuation One of the many uses of AI and computer vision in real estate is to enhance the accuracy of property valuations. The increased accuracy can improve the credibility of such figures for insurance, purchase decisions, greenlighting loans and other areas.

Property valuation is often riddled with inconsistencies and inaccurate information, especially in underdeveloped and developing countries. In Zimbabwe, for example, issues with valuation due to inflationary pressures have caused volatility in…

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3 Ways In Which IoT Reliability Can Be Improved Enhancing IoT reliability involves making networks more secure against cyber threats and intelligent edge-based data storage and computation. Implementing reliable IoT for smart cities can reduce latency, improve performance and increase energy efficiency.

Over the past decade, smart devices have seemingly taken over the world. As per a 2021 study, there are approximately 175 million smart homes globally. Similarly, automated supply chains can…

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4 Key Differences between Federated Learning and Classical Machine Learning People are paying more and more attention to data security and user privacy in the era of big data; data protection has become a priority for both businesses and individuals. Federated learning is the future of AI, in which statistical algorithms are trained at the network's edge.

Artificial intelligence is the foundation of computer learning and it is critical to our future. Computers can process massive amounts of data and apply learned intelligence to make better decisions…

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Leveraging AI To Optimize Computerized Tomography The involvement of AI in computed tomography can improve the quality of data collection and also reduce the amount of radiation required to be passed through patients’ bodies.

The increasing number of applications of AI in healthcare is well documented—from both positive and negative perspectives. Machine learning, deep learning and AI are generally incorporated to overcome certain weaknesses…

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