This is Jun and I'm a front-end developer at LINE. Recently the front-end development scene is booming with new technologies and it's becoming difficult to catch up with all those new things. As part of today's topic as "implementing machine learning in front-end web development", let me share my little experiment on machine learning, using TensorFlow.js. I used TensorFlow.js to build a simple classification model for browsers. Before I go into the details, I'll briefly introduce about TensorFlow and classification.
In my February blog, I explained how to use the tokenization technique in Natural Language Processing (NLP) to predict whether a particular Tweet could be geolocated to a particular neighborhood in the city of Caracas, Venezuela. Almost 37,000 Spanish Tweets that had a latitude and longitude from the city of Caracas, Venezuela were used to observe reactions to the food shortages within each of the city's five municipalities from December 2014 to October 2016.
Finance industry commentators believe that artificial intelligence (AI) will replace many existing financial services positions. Along with blockchain, digital transformation and regulation, AI is a technology set to roil banks now and in the coming years. Join us in this article as we dive into the topic of AI in finance and what its growth and sophistication mean for financial professionals. The most menial of positions will likely come under AI threat first. These positions that rely on repetition, which are more easily "taught" to a program include: By replacing repetitive positions with sophisticated algorithms, engineers can enable financial institutions to generate massive efficiencies, notably in lowering overhead costs and boosting productivity.
The travel market is currently undergoing a radical transformation. We've seen the growth of online travel agents whetting the appetite for bespoke holidays, with more options than you could ever explore. On the accommodation front, we can choose to stay in a hotel, a hostel, or experience life in someone's else's shoes via apps like Airbnb or CouchSurfing. Each booking implies an element of personalisation, and the explosion of'mix-and-match' services has only amplified the importance of catering for holidaymakers on a one-to-one level. A personalised, considered and tactical strategy for converting each purchase would be the natural reaction to what we're seeing, if only the market could deliver it.
AI fuzzing uses machine learning and similar techniques to find vulnerabilities in an application or system. Fuzzing has been around for a while, but it's been too hard to do and hasn't gained much traction with enterprises. Adding AI promises to make the tools easier to use and more flexible. The good news is that enterprises and software vendors will have an easier time finding potentially exploitable vulnerabilities in their systems so they can fix them before bad guys get to them. The bad news is that the bad guys will have access to this technology as well and will soon start to find zero-day vulnerabilities on a massive scale.
One of the biggest advantages of AI from a Zero Outage perspective is the ability to predict power failures or maintenance requirements so that the operation can adapt to them. But the risks arising in particular from the opacity of communication patterns due to automated provisioning lead to various complexities. The safety of AI plays a particularly important role when it comes to the availability of products and production. The effect of an erroneous statement on the part of the AI can lead both to a time delay and to defects of the machines due to signal overlay. In automated processes in particular, it is often necessary to consider with caution how decisions influence production.
The travel industry is transforming with emerging technologies, new business models and changing consumer expectations. Travellers now have a wide range of options when it comes to planning their trips. While it might have once been common to visit your local travel agent to plan a trip after seeing a neighbour's vacation snaps, it's now more likely that vacation pictures on social media are leading someone to browse for a getaway online. People can perform their own search and use a travel-booking website to compare the vast amount of options available. In turn, travel suppliers and sellers must work hard to keep travellers engaged throughout their trip.
According to techopedia, a smart city is a city that utilizes information and communication technologies so that it enhances the quality and performance of urban services (such as energy and transportation) so that there's a reduction in resource consumption, wastage, and overall costs. In this article, we will look at components of a smart city and its AI-powered- IoT use cases, how AI helps with the adaption of IoT in Smart cities, and an example of AI-powered-IoT solution. Hence, a smart city would be a city that not only possesses ICT but also employs technology in a way that positively impacts the inhabitants. This article is an excerpt taken from the book'Hands-On Artificial Intelligence for IoT' written by Amita Kapoor. The book explores building smarter systems by combining artificial intelligence and the Internet of Things--two of the most talked about topics today.
This includes revolutionary tactics such as data patterns and trend spotting. In many cases, there is a lack of collaboration between a company's IT department that will analyse data, and those with real business insight who want to use it. It's important that companies look for new forms of data with which to create actionable results. This is a shift that we are already seeing and is going to continue throughout the year as businesses maintain their data education and practise. The next step in data collection is the use of video as a way of gathering information and analysing the state of the business via information from the physical world, and where in the workplace improvements can be made.