Robots can be made from soft materials, but the flexibility of such robots is limited by the inclusion of rigid sensors necessary for their control. Researchers created embedded sensors, to replace rigid sensors, that offer the same functionality but afford the robot greater flexibility. Soft robots can be more adaptable and resilient than more traditional rigid designs. The team used cutting-edge machine learning techniques to create their design.
Today, Artificial Intelligence (AI) can drive effective solutions to lots of marketing challenges. It can help you optimize your advertising budget, personalize your customers’ experience, suggest the most accurate attribution model, boost your marketing analytics, and even generate original brand content, including images and advertising slogans. However, AI is evolving so fast these days that […]
In a fiercely competitive market where businesses are constantly striving to enhance profit margins, reduce costs, and provide exceptional customer experience, disruptive technologies...
Admond Lee is a data scientist, speaker, and data science contributing author at several publications including Towards Data Science, KDnuggets, and AI...
In today’s era of digitization, staying updated on technological advancements is a necessity for businesses to both outsmart the competition and achieve desired business...
(Submitted on 7 Apr 2020) Abstract: Diagnosing problems in Internet-scale services remains particularly difficult
and costly for both content providers and...
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Starsky Robotics shuts down, plus more news from world of neural networks Roundup Let's get cracking with some machine-learning news. Starksy Robotics is...