Python Archives - Cleverti

Programming Languages for AI development

joao.silva — Tue, 01 Aug 2023 11:12:15 +0000

A lot has been said recently about Artificial Intelligence and the ways it has already impacted businesses and ways of learning.

The recent rise of AI-driven algorithms and applications, such as personalized suggestions and social humanoid robots, has had its global implications.

Businesses using artificial intelligence can improve production, operations and customer experiences, benefiting from smart decision-making, automation, minimal errors and data analytics.

The software development industry is one that greatly benefits from AI technologies, as nearly every process can be enhanced through AI implementation.

But having artificial intelligence capable of providing good business insights, implicates continuous development. And an important aspect of this journey involves choosing the most suitable programming language among various trending options.

Let us name a few:

Java

This language, like AI, has evolved to incorporate the latest scientific and technical advancements. Java proves valuable in constructing scalable AI applications, making complex projects more manageable with its user-friendly and debug-friendly features. Enhancing user engagement is possible through image-based data representation. Additionally, developers can create a single program version that runs on multiple Java-based platforms, thanks to Java’s Virtual Machine Technology.

JavaScript

Like Java, JavaScript serves as an excellent choice for AI development, particularly for creating dynamic and secure websites. Its AI capabilities allow smooth interaction and integration with other source codes like HTML and CSS. JavaScript development benefits from a large development community, supported by libraries such as jQuery, React.js, and Underscore.js, making AI programming more accessible.

Phyton

Python stands out as a computer language with minimal code compared to others, making it a top choice for AI development. It comes equipped with prebuilt libraries for advanced computing, such as Numpy, Scipy, and Pybrain. Being an open-source language, it attracts developers globally, and support is readily available.

Scala

Scala is a powerful language that enables developers to write code quickly, simply and with increased efficiency. The Scaladex index provides access to Scala libraries and resources, aiding in the creation of high-quality applications. Scala’s support for the Java Virtual Machine (JVM) environment allows software developers to build intelligent applications.

Rust

Rust fulfils the desire for high-performance, quick and secure software development, making it a favorite among developers in creating AI applications. Its syntax resembles C++, yet it offers memory safety and avoids garbage collection. Systems like Dropbox, Yelp, Firefox, Azure, and more, use Rust extensively as their backend programming language. Due to its memory safety, speed and expressive capabilities, it can be the ideal language for AI development and scientific computing.

R has gained popularity as a preferred choice for developing statistical software, conducting data analysis and visualizing data, primarily due to its ability to handle large data sets with ease. Its extensive collection of methods for model training and evaluation makes it a favored language for machine learning projects that involve significant data processing.

While there’s a lot more to be said, researched and adapted, there’s no denying that AI processes are here to stay. And while the AI development isn’t a core operation, as a software house with dedicated teams and an agile operations framework, staying ahead on the technology front as it receives innovative and complex solutions is no news to Cleverti.

The key is to know how and when to adapt such trends, so that every development project remains fully capacitated and at its highest quality.

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Cleverti plans Nearshore expansion, with recruitment in Brazil

joao.silva — Wed, 17 May 2023 09:37:35 +0000

Strengthening Nearshore projects and being able to attract the best talent to reinforce the existing team is cleverti’s priority, to be consolidated as a strategic partner for companies seeking quality and cost-efficient technological solutions.

In 2022, the company revenue exceeded 4 million euros and cleverti’s CEO, Carlos Coutinho Silva, expects to hit the mark of 5 million euros during 2023, making it a grow of 25%.

Developing its business since 2010, Nearshore was always a strategy. “I truly believe we were one of the first companies in Portugal to work in nearshore”, says cleverti’s CEO in TSF‘s radio program “Negócios e Empresas”.

“We’ve been growing steadily over the years, and with part of that growth comes the will to hire more people”. Boasting a robust team of professionals, cleverti strives to expand its workforce to 150 individuals by the end of 2025. This remarkable growth is fueled by exceptional outcomes, client satisfaction and the ability to attract exceptional talent.

Currently with more than 80 professionals, cleverti is agnostic on the technologies that seeks. Outsystems, Java, Angular, React and Phyton are a few of the technologies wanted to integrate the several open projects.

Working with PME’s and start-ups in over 15 countries, and facing the difficulty of attracting good professionals at a cost that cleverti can fit into their projects, one of the solutions is to extend the recruiting to Brazil and, later on, to the US and Canadian markets.

Cleverti’s latest interview to discuss the great 2022 results and expected growth can be heard in today’s (May 17th) TSF program here.

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Self-Driving Cars – Big Data with Python Script

joao.silva — Tue, 14 Jan 2020 17:27:52 +0000

For humans, driving is a trivial task. However, things are not that easy for a machine who can only deal with arithmetic and binary operations.

Electric Vehicles (EVs) are here to stay.

The majority of the big car manufacturers have already joined the new cycle. It started with plug-ins – a hybrid technology that combined combustion engines with electric power – but more recently, big bets are in the 100% EVs.

Designing such robust solutions have opened doors to develop another very cool and revolutionary technology – The self-driven Automobiles.

With more/less intelligence or independency, big part of the new cars sold today come with some sort of Artificial Intelligence (AI) that turn the action of driving into a safer and more pleasurable experience.

Behind such a brilliant AI that allows a car to move from point A to B without human intervention, there aren’t just many lines of code, but a quite unique and special ingredient – DATA.

Driving is a very complex task. For us humans, it’s easy to distinguish a pedestrian crosswalk from a regular paint on the floor, as it’s also trivial to check the differences between a red light from a commercial or a star in the sky. However, things are not that easy for a machine who can only deal with arithmetic and binary operations.

They need to learn with Real Data, and this is the reason why (big) data is the fuel for the success. These vehicles are constantly gathering data that is collected individually by each one of them, and then sent for the central server where the inputs are all processed.

Just like on a regular computer or mobile phone, these vehicles usually receive Over the Air Updates that improve reliability and security.

Recently at Cleverti, we had a Talk about this subject. You can check the amazing presentation that André Miranda and Dimitris Mostrous prepared for us in the following Youtube Video.

They show us how to make one script that can figure out just by watching a driving video – in first person – if the driving wheel should be in the right or left position. And guess what? It worked!

Written by João Silva | Business Development Manager at Cleverti

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