Autonomous underwater vehicles are specialized platforms engineered for deep underwater operations. Critical to their functionality is autonomous navigation, typically relying on an inertial navigation system and a Doppler velocity log. In real-world scenarios, incomplete Doppler velocity log measurements occur, resulting in positioning errors and mission aborts. To cope with such situations, a model and learning approaches were derived. This paper presents a comparative analysis of two cutting-edge deep learning methodologies, namely LiBeamsNet and MissBeamNet, alongside a model-based average estimator. These approaches are evaluated for their efficacy in regressing missing Doppler velocity log beams when two beams are unavailable. In our study, we used data recorded by a DVL mounted on an autonomous underwater vehicle operated in the Mediterranean Sea. We found that both deep learning architectures outperformed model-based approaches by over 16% in velocity prediction accuracy.

While each revolutionizes sectors and creates new experiences on its own, the combination of 5G and AI will be really disruptive. On-device computing, the edge cloud, and 5G work together to form a ubiquitous connectivity fabric of smart devices and services. This point of convergence is critical to our concept of the intelligent wireless edge. The commercial deployment of 5G has begun. But, to put it another way, 5G isn't just another G. It's a total ecosystem shift in how networks are managed and administered, as well as how apps function on them.

Einat Weiss, VP Global Marketing at NICE, writes about how marketers can use Artificial Intelligence (AI) for brand building. As we approach 2019, it's the perfect time to reflect on where the marketing industry has been in the past year and where it's headed. In 2018, we saw more organizations relying heavily on AI-driven messaging applications and social media to engage with customers. In fact, 72 percent of millennials believe a phone call is not the best way to resolve their customer services issues. Additionally, experts predict that by 2020, 85 percent of all customer service interactions will be handled without the need for a human agent.

VCs have brought very important innovations to the world, but there have been hardly few very important innovations in the VC world, to name a few- ICOs, Crowdfunding, Venture builders, etc. However, with advancements in Artificial Intelligence and availability of data at almost no cost, the VC Industry is a fertile ground for adopting data-driven strategies to ramp up the deal sourcing and to train their gut with intelligence gained from data. As an investor, there are three important things that you need at your tips most of the time: Where the best companies are? Whether to invest in a particular company or not? What is the optimal distribution of reserves for follow-on investments?