(Featured image credit)

We still lack enough data on AI

Since the launch of ChatGPT and code generation tools like GitHub Copilot, a lot of predictions have been made regarding productivity improvements in software engineering. Some analysts and vendors expect that the AI revolution will cut time on development by 2x, while [...]

The post Generative AI for SDLC: Top Areas for a CTO/VPE to Pay Attention To appeared first on Altoros.

Increasing power consumption is a problem

Over the past few years, edge computing, which places computation and data storage closer to the devices where it is being gathered, has become more prevalent due to the widespread adoption of the Internet of Things (IoT). Edge computing using 5G networks may reduce communication [...]

The post Osaka University Cuts Power Consumption by 13% with Kubernetes and AI appeared first on Altoros.

Expanding to green and renewable energy

In 2015 at the United Nations Climate Change Conference, 195 countries signed the Paris Accords, an agreement to reduce greenhouse gas emissions worldwide. The accord’s long-term goal is to limit the rise of global temperature below 2 degrees Celsius above preindustrial levels and eventually reach [...]

The post Shell Builds 10,000 AI Models on Kubernetes in Less than a Day appeared first on Altoros.

Addressing the pandemic with IT

Ever since the World Health Organization (WHO) declared COVID-19 a pandemic, multiple public and private organizations across the world shut down in order to minimize the spread of the disease. As the end of the year approaches, some businesses and government offices are slowly resuming [...]

The post What’s Wrong with AI Tools and Devices Preventing COVID-19? appeared first on Altoros.

The claims process taking too long

According to Verisk, a data analytics company, auto insurers in the U.S. lose $29 billion annually due to errors and omitted information. Though the sources of this claim leakage vary, inaccurate estimation of vehicle damage after an accident is one of them. Therefore, it becomes [...]

The post Why Estimating Car Damage with Machine Learning Is Hard appeared first on Altoros.

In data science, cluster analysis (or clustering) is an unsupervised-learning method that can help to understand the nature of data by grouping information with similar characteristics. The clusters of data can then be used for creating hypotheses on classifying the data set. The k-means algorithm is one of the clustering [...]

The post Implementing k-means Clustering with TensorFlow appeared first on Altoros.

Identification without facial recognition

On April 15, 2013, a tragedy befell the annual Boston Marathon as two homemade pressure cooker bombs detonated near the finish line. There were several hundred casualties reported after the incident.

Law enforcement surveillance teams scoured images and videos of the marathon to find suspects. Three days later, [...]

The post Improving Facial Recognition with Super-Fine Attributes and TensorFlow appeared first on Altoros.

Houston, I want to believe!

Being just a tiny blue dot in the ever-expanding universe, humans of Earth have been wondering for centuries if they are alone here. The answer to this question is the motivator behind scientific research of the world’s best minds, exquisitely equipped observatories, neatly designed spacecrafts, and [...]

The post How NASA Uses Artificial Intelligence to Detect Exoplanets appeared first on Altoros.

Browser-based machine learning

With the availability of data and open-source machine learning (ML) frameworks like TensorFlow, interest in deploying ML models has grown over the years. Traditional machine learning systems, however, usually require some form of installation before being operational. For startups, data scientists, and individuals simply looking to lay their [...]

The post TensorFlow.js: Deploying and Training Machine Learning Models Right in a Browser appeared first on Altoros.

Automating manual operations with AI

Robotics process automation (RPA) is an emerging domain of artificial intelligence, which aims to replicate repetitive human activities. Industries with plenty of manual back-office and customer-facing processes are prime candidates for RPA.

In insurance, these manual operations are often the reason why application and claims processing becomes [...]

The post Zurich Insurance Group Incorporates RPA to Achieve $1B of Savings appeared first on Altoros.