> November, 2020 - Vinova - Page 3
Machine Learning AI Chooses Henry Cavill As The Next James Bond

Machine Learning AI Chooses Henry Cavill As The Next James Bond

Daniel Craig will soon be saying goodbye to the tuxedo and silenced Walther PPK, as No Time To Die will be his final outing as . Craig’s tenure at MI6 has been a resounding success, winning critical adulation for Casino Royale and Skyfall and becoming the highest-grossing Bond of all time. Filling those impeccably styled shoes will be tough, so you can bet that the next actor for the role is already under heavy consideration. In fact, “award-winning AI software provider” Largo.ai claims to have crunched various data to decide who’s best suited for the part and top of the list, with a massive 92.3% chance of becoming a more successful Bond than Craig, is Man of Steel and The Witcher star Henry Cavill. I’ve got to hand it to the computer, he certainly looks the part. The only wrinkle is that Cavill has commitments for with Netflix and is also still theoretically the DCEU Superman. That could mean that though he’s the most coldly logical choice, scheduling conflicts may get in the way. Here’s What Henry Cavill Would Look Like As James Bond Click to skip MORE FROM THE WEB Click to zoom  Other contenders are Outlander‘s Sam Heughan and McMafia’s James Norton, who have an 87.6% and a 74.2% chance, respectively, of being better Bonds than Craig. But I think this AI system is looking at the situation a bit too coldly and just crunching the numbers for conventionally handsome white British actors within a certain age range. Also, I doubt it would ever have considered Daniel Craig for the role in the mid-2000s. But then again, the name does sound a bit...
App of the Week: Tnerit | Mobile App Development Company | Customer Apps Development | DeviceBee

App of the Week: Tnerit | Mobile App Development Company | Customer Apps Development | DeviceBee

An online marketplace for borrowing and lending secondhand goods in Dubai Have you ever caught yourself window shopping at a mall, pining over things you can’t afford? Or perhaps you blew your budget on a shiny new gadget, only to find out it wasn’t really worth the money? Maybe you’ve got some BBQ equipment languishing in the backyard crying out for use while you’re away over the summer? Tnerit, a new Dubai-based online marketplace offers you the chance to try-before-you-buy everything from electronics to musical instruments to clothing, renting directly from other users. For the moment, the marketplace skews more towards books and electronics, which makes sense as they are easier items to rent out, but there are a number of categories available including: Electronics, Home Garden & DIY, Holiday & Travel, Toys, Games, Hobbies & Party Supplies, Sports & Fitness, Appliances, Apparel, Music & Musical Instruments, and Books. You can either choose to be a ‘Borrower’ or a ‘Lender’, the latter allowing you to make a little extra cash from that complete The X-Files series boxset that’s sat unused on your shelf for years. Tnerit says that the app promotes sustainability, which might be a bit of a stretch, but we agree that it’s a clever way to potentially both earn and save money in a city where too often people buy things they don’t need in excessive quantities. How does it work? Tnerit works in a similar way to sites like Dubizzle, but rather than selling and buying secondhand goods, users can instead rent them out for a per-day fee. Once you’ve downloaded the app and registered an account (you’ll...

Malaysian Web Developer Creates Public Transport Map On AR, Netizens Are Mind-Blown!

Public transport users will understand the anxiety of not knowing which station you can change lines at. In order to combat that, this Malaysian web developer actually made the map appear on his Touch n Go card! Meet 24-year-old Emil Shafy! His video documenting the AR map went viral on Twitter with 7,600 retweets and 10, 200 likes. Here it is. Made an LRT map appear on my Touch N Go card in AR. Woohoo! still a bit buggy but helpful if we’re ever lost pic.twitter.com/ynZKEaA4WQ — emil (@emlshfy) August 17, 2020 Speaking to World of Buzz, Emil told us that he was inspired by a video he once saw on TikTok. The video was about how a man managed to feature an AR on a business card. Taking that as an inspiration, Emil thought it would be cool to use AR as a solution to common problems. As Emil commutes daily to work, he needs to find for the LRT maps online, in his phone gallery or at the station. “That is very time consuming, so I wanted to create something new, interactive and easily accessible.” For two to three days, Emil worked on the AR after work and he managed to create a slightly-buggy prototype. For now, users are still not able to access it but Emil is working on improving it so that everyone will be able to use it one day! He has also mentioned to us that Prasarana has contacted him and he will be meeting them soon! Emil also told us that he never expected his video to blow up as he was...
POC vs Prototype vs MVP in Mobile App Development | Tapptitude

POC vs Prototype vs MVP in Mobile App Development | Tapptitude

Proof-of-concept, prototype and MVP are three terms that are thrown around a lot in mobile product development, especially in the startup space. However, figuring out how to fit these methodologies into your product development plan can be challenging. It can take a while to understand the differences between these three concepts, especially if you’re part of a startup or a brand exploring mobile-first products to expand your offering. Your goal is to create amazing and useful products, but you also want to be mindful of your budget and find ways to minimise risks. No one wants to make the wrong choice and realise they’ve just thrown money out the window and have to start again. So, if you’re feeling confused about where to start, don’t worry, as you’re not alone. We’re going to help you understand the differences between a prototype, a proof-of-concept and an MVP for your mobile development project. During these last 6 + years of building digital products, we’ve had numerous conversations on what our partners need to start with when planning a new mobile product for the market. So, we’ve seen quite a few things happening and wanted to share this inside view on how to think of your go-to-market strategy with a product. We’re coming from a mobile product background, but the details below clearly fit for any digital product that needs to validate some core assumptions in a new market or with a new business model. By going through each concept and its pros and cons, we’ll help you pick the best approach for your next mobile app. However, if you don’t want...
7 Essential Tools for a Competent Data Scientist – DZone Big Data

7 Essential Tools for a Competent Data Scientist – DZone Big Data

A data scientist extracts manipulate and generate insights from humongous data. To leverage the power of data science, data scientists apply statistics, programming languages, data visualization, databases, etc. So, when we observe the required skills for a data scientist in any job description, we understand that data science is mainly associated with Python, SQL, and R. The common skills and knowledge expected from a data scientist in the data science industry includes – Probability, Statistics, Calculus, Algebra, Programming, data visualization, machine learning, deep learning, and cloud computing. Also, they expect non-technical skills like business acumen, communication, and intellectual curiosity. However, when you ask experienced data scientists, they may share a different view altogether. Their experience says that data scientists’ knowledge must be beyond the mentioned skills in a typical job description. These tools and platforms make a data science professional more competent to demonstrate a holistic approach in their data science projects. Let us understand a few of the tools and platforms other than Python, SQL, R, or the typically mentioned skills in a job description, that would help a data scientist shine better in their career. Cool Data Science Tools for Modern Data Scientists  It is undeniably agreed that the skills and knowledge mentioned in a job description are must-haves for a data scientist. Competent data scientists must have knowledge or experience in one or more of the tools/platforms mentioned here as applicable to the data science industry they are serving for. Take a look. Linux OS  Technical Reasons to Possess Knowledge About Linux OS: Git is the best version control system for data systems. A version control...
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