Husam #Supporters

Husam joined the company on October 1, 2021, as an intern in software development. Thanks to his quick learning curve, Husam quickly settled into the team and his responsibilities.

Husam joined the company on October 1, 2021, as an intern in software development. Thanks to his quick learning curve, Husam quickly settled into the team and his responsibilities.

Husam describes himself as a curious person. He has a keen interest in different cultures, history, and languages. Thanks to this interest, Husam is fluent in three languages: Arabic, English, and German, and is currently learning Kurdish. To balance his daily life as a working student, he enjoys playing soccer. Husam recently completed his bachelor’s degree in medical technology and has been supporting the SUSI&James team as a full-time software developer since December 1, 2022.

He first learned about SUSI&James through a job posting on LinkedIn. He was an intern with us in software development and, at the same time, was writing his bachelor’s thesis on “Interacting with a graph database using natural language.”

During the first few weeks, Husam was assisted by, among others, our colleague Jan actively supported. During this time, he gained his first insights into database systems, APIs, and software architecture. “As part of the internship, I also learned the basics of front-end development and helped the team integrate services and develop user interfaces.”

One of Husam’s daily tasks is writing his bachelor’s thesis. To do this, he first gathers all the necessary information and compiles it so that, after consulting with the team, he can also conduct his own tests. Husam used the results for his bachelor’s thesis and analyzed them.

“Through my work, I want to gain a deeper understanding of the interaction between people and machines.”

In addition, it deploys graph databases that our developers have created for digital twins as part of a publicly funded project H2SkaProMo are required.

As part of this work, Husam also handles software development and implements database operations and access. In addition, he develops tools for visualizing and configuring the graphs and their elements in the database. This requires a great deal of patience on Husam’s part, as dependencies on data from different projects occasionally cause problems that then need to be resolved.

However, his willingness to learn and quick grasp of new concepts serve him well here, enabling him to tackle obstacles head-on and consistently overcome them. Husam is excited to be working on a project focused on the visualization and management of graph databases. He sees this project as involving a very steep learning curve, both for himself and for the entire team.

We’d like to thank Husam for the interview and are thrilled to have him on the team!

Artificial Intelligence (AI)

Simply put, artificial intelligence (AI) is the ability of a computer or machine to mimic the capabilities of the human mind. It learns from past experiences to understand language, make decisions, and solve problems, and to respond accordingly.

Large amounts of data are often used to train AI and develop algorithms that enable these capabilities. Various AI capabilities, such as computer vision and user interfaces, are integrated into many standard business processes across industries such as retail, finance, healthcare, and high-tech.

AI in Advertising

Facebook collects personal information about users and feeds this data into “FBLearner Flow,” an internal machine learning tool. FBLearner Flow performs a branching “decision tree” simulation that can be used to predict outcomes, such as customer behavior. Facebook takes the results from FBLearner Flow and aggregates them into a group of people expected to exhibit similar behavior. Facebook offers companies the opportunity to target these people with advertisements.

Chatbots

Chatbots, also known as intelligent virtual agents or smart advisors, operate using voice and text and utilize natural language understanding (NLU). Some chatbots have only limited conversational capabilities, following predefined dialogues. Other chatbots, however, are capable of learning, as they are based on supervised learning and use learning algorithms to improve their expression and better understand the user. These chatbots are linked to large knowledge databases and can thus continuously evolve.

These chatbots are most commonly found in corporate messaging platforms and websites, where they help users navigate the site and provide them with relevant answers to their questions.

Dendral

One of the first AI programs was developed by Carl Djerassi in 1965. It was called Dendral and automatically identified unknown forms of medication. The name Dendral is an acronym for the term “dendritic algorithm.”

Heuristic and Meta-Dendral

The project involved research into the two main programs, Heuristic Dendral and Meta-Dendral, as well as several subprograms. It was written in the Lisp programming language, which was considered the language of AI due to its flexibility.

Derivatives

Many systems were derived from Dendral, including MYCIN, MOLGEN, PROSPECTOR, XCON, and STEAMER.

AI in Practice

In medicine, AI is used not only for diagnosing patients but also for decision-making and automated, robot-assisted surgeries.

Radiology

Aidoc has developed a suite of AI-based software capable of detecting anomalies in CT scans, including pulmonary embolisms, intracranial hemorrhages, and occlusions of large blood vessels.

Pathology

PathAI is a company that has developed machine learning models to assist pathologists in diagnosing diseases from liver and breast biopsies. In addition, the models can predict disease progression and suggest the best treatment options.

Predicting infections at the surgical site

DASH Analytics developed a machine learning algorithm to assess a patient’s risk of infection. A three-year study found that the algorithm had reduced the risk of infection by nearly 75% in a subgroup of patients undergoing general and colorectal surgery at the University of Iowa Hospitals and Clinics.

Robot-assisted surgery

The medical technology company Microsure has developed MUSA, the first surgical robot for open microsurgery, which received certification for clinical use in Europe in 2019.

Nautilus

Nautilus is a self-learning supercomputer. It can predict your future. Fed with more than 100 million news articles, the supercomputer correctly predicted the timing of the revolutions in Libya and Egypt in 2011. This is the same supercomputer that tracked down Osama bin Laden and became famous shortly thereafter. It derived its predictions from information provided by millions of articles dating back to the 1940s.

Process automation

Process automation, often referred to as RPA, is based on a combination of traditional RPA and artificial intelligence. It derives user behavior from data patterns. Process automation is capable of uncovering and processing hidden, complex data patterns in large, even incomplete, unstructured data sets (including text-heavy reports). To this end, RPA is enhanced with artificial intelligence capabilities such as optical character recognition (OCR) or natural language processing (NLP).

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