Show All

Hide All

Artificial Intelligence
Anomaly Detection

In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behaviour. Such examples may arouse suspicions of being generated by a different mechanism, or appear inconsistent with the remainder of that set of data.
Research​ers: Meir Kalech, Yuval Elovici, Yisroel Mirsky, Rami Puzis, Lior Rokach, Asaf Shabtai, Bracha Shapira, Roni Stern​
​
Machine Learning
Machine learning (ML) is a field devoted to understanding and building methods that let machines "learn" – that is, methods that leverage data to improve computer performance on some set of tasks.
Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.
Research​ers: Meir Kalech, Michael Fire, Gilad Katz, Mark Last, Yisroel Mirsky, Robert Moskovitch, Rami Puzis, Nadav Rappoport, Lior Rokach, Asaf Shabtai, Bracha Shapira, Armin Shmilovici, Oren Tsur, Isana Veksler-Lublinsky, Yaron Wolfsthal, Assaf Zaritsky, Peretz Shoval​



Genetic Programming
In artificial intelligence, genetic programming (GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations analogous to natural genetic processes to the population of programs.
Research​ers: Achiya Elyasaf



Hueristics Search
Heuristic search is class of method which is used in order to search a solution space for an optimal solution for a problem. The heuristic here uses some method to search the solution space while assessing where in the space the solution is most likely to be and focusing the search on that area.
Research​ers: Achiya Elyasaf, Guy Shani, Roni Stern, Noam Tractinsky
​​

Reccomender systems
A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information filtering system that provide suggestions for items that are most pertinent to a particular user. Typically, the suggestions refer to various decision-making processes, such as what product to purchase, what music to listen to, or what online news to read. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer.​​
Research​ers: Achiya Elyasaf, Nir Grinberg, Gilad Katz, Lior Rokach, Guy Shani, Bracha Shapira

​

Speech Analysis
Speech analytics is the process of analyzing voice recordings or live customer calls to contact centers with speech recognition software to find useful information and provide quality assurance. Speech analytics software identifies words and analyzes audio patterns to detect emotions and stress in a speaker's voice.​
Research​ers: Michael Fire, Oren Tsur



Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.​
Research​ers: Gilad Katz



Sentiment Analysis
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine. With the rise of deep language models, such as RoBERTa, also more difficult data domains can be analyzed, e.g., news texts where authors typically express their opinion/sentiment less explicitly.
Research​ers: Gilad Katz, Oren Tsur

​

Deep Learning
Deep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.
Research​ers: Meir Kalech, Michael Fire, Gilad Katz, Yisroel Mirsky, Rami Puzis, Lior Rokach, Asaf Shabtai, Bracha Shapira, Oren Tsur​



Planning
Planning is the process of thinking regarding the activities required to achieve a desired goal. Planning is based on foresight, the fundamental capacity for mental time travel. The evolution of forethought, the capacity to think ahead, is considered to have been a prime mover in human evolution. Planning is a fundamental property of intelligent behavior. It involves the use of logic and imagination to visualise not only a desired end result, but the steps necessary to achieve that result.​​​

Research​ers: Guy Shani​



Fuzzy Systems
Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1.​
Research​ers: Mark Last, Armin Shmilovici



Multi Agent Systems
A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning.

Research​ers: Roni Stern, Arnon Sturm​​



Computers
Model-Based Diagnosis:
Model-Based Diagnosis (MBD) is a branch of artificial intelligence that deals with the problem of diagnosing the causes of observed malfunctions or failures of complex systems. MBD typically involves constructing a model of the system being diagnosed, and then using this model to generate diagnoses of the faults or failures that are causing the observed symptoms.
Research​ers: Meir Kalech



Software Testing:
Software testing is an important stage in the software development life cycle. It involves executing a software system or its component(s) with the intent of finding errors or defects. The goal of software testing is to ensure that the software system meets the specified requirements and is reliable, efficient, and scalable.
Research​ers: Meir Kalech, Mark Last



Internet of Things:
The Internet of Things (IoT) refers to the network of physical objects or "things" embedded with sensors, software, and connectivity, enabling them to collect and exchange data. The IoT is rapidly expanding and has the potential to transform many aspects of our lives, including healthcare, transportation, and agriculture.
Research​ers: Yuval Elovici, Yisroel Mirsky, Yossi Oren, Asaf Shabtai, Yaron Wolfsthal



Software Engineering:
Software engineering is the process of designing, developing, and testing software applications. It is a discipline that encompasses a range of activities, including requirements gathering, software design, coding, testing, and maintenance. The goal of software engineering is to create software that is efficient, reliable, and easy to use.
Research​ers: Achiya Elyasaf, Peretz Shoval



Smartphones:
A smartphone is a mobile device that offers advanced computing capabilities and connectivity. Smartphones typically include features such as touchscreens, cameras, and internet connectivity, and can be used for a wide range of applications, including communication, entertainment, and productivity.
Research​ers: Nir Grinberg, Mordechai Guri, Yisroel Mirsky, Asaf Shabtai, Bracha Shapira



Knowledge Engineering:
Knowledge engineering is the process of creating or improving computer systems that can reason and make decisions based on knowledge. It involves designing knowledge-based systems that can acquire, represent, and use knowledge to solve problems or make decisions in a specific domain.
Research​ers: Yuval Shahar, Arnon Sturm, Peretz Shoval

​

Human Factors:
Human factors is a field of study that deals with the interaction between humans and technology. It involves the design and evaluation of systems, products, and environments to optimize human performance and well-being. Human factors research is used to improve the usability, safety, and effectiveness of products and systems in a variety of domains, including aviation, healthcare, and transportation.

Research​ers: Meirav Maimon, Noam Tractinsky​

Cyber Security
Malware:
Malware is a type of software that is designed to damage, disrupt, or gain unauthorized access to a computer system. Malware can take many different forms, including viruses, worms, Trojan horses, ransomware, and spyware.
Research​ers: Yuval Elovici, Mordechai Guri, Yisroel Mirsky, Robert Moskovitch, Yossi Oren, Rami Puzis, Asaf Shabtai



Intrusion Detection:
Intrusion detection is the process of monitoring a computer system or network for signs of unauthorized access or malicious activity. Intrusion detection systems (IDS) can be used to detect and alert administrators to potential security threats in real-time.
Research​ers: Yuval Elovici, Mordechai Guri, Yisroel Mirsky, Rami Puzis, Lior Rokach, Asaf Shabtai



Data Security:
Data security refers to the protection of digital data from unauthorized access, use, disclosure, disruption, modification, or destruction. It involves implementing security measures to ensure that data is protected throughout its entire lifecycle.
Research​ers: Yuval Elovici, Rami Puzis, Asaf Shabtai



Network Security:
Network security is the practice of securing computer networks from unauthorized access or attacks. Network security measures include the use of firewalls, intrusion detection systems, encryption, and virtual private networks (VPNs).
Research​ers: Yuval Elovici, Mordechai Guri, Yisroel Mirsky, Rami Puzis, Asaf Shabtai, Yaron Wolfsthal



Hardware Security:
Hardware security involves protecting the physical components of a computer system from unauthorized access or tampering. This includes implementing measures such as secure boot, hardware-based encryption, and physical security controls.
Research​ers: Yuval Elovici, Mordechai Guri, Yossi Oren



AI Security:
AI security refers to the protection of AI systems from attacks or other forms of malicious activity. This involves implementing security measures to ensure that AI systems are resilient to cyber attacks and other threats.
Research​ers: Yuval Elovici, Yisroel Mirsky, Asaf Shabtai



Worms/Bots:
Worms and bots are types of malware that are designed to spread through computer networks and carry out malicious activities. Worms can replicate themselves and spread from one computer to another, while bots can be used to carry out coordinated attacks or other malicious activities.
Research​ers: Yuval Elovici, Michael Fire, Mordechai Guri, Robert Moskovitch, Rami Puzis



Side Channels:
Side channels refer to unintended pathways that can be used to extract sensitive information from a computer system. Side channels can be exploited by attackers to bypass traditional security measures and gain unauthorized access to a system.
Research​ers: Mordechai Guri, Yisroel Mirsky, Yossi Oren



Web Security:
Web security refers to the protection of websites and web applications from attacks or other forms of malicious activity. Web security measures include the use of firewalls, encryption, and vulnerability scanning tools to ensure that web applications are secure and free from vulnerabilities.

Research​ers: Yuval Elovici, Yossi Oren​​​

Data Science
Social Networks:
A social network is a digital platform or website that enables users to connect and interact with each other. Social networks are used for a variety of purposes, including communication, collaboration, and sharing of information.
Research​ers: Michael Fire, Rami Puzis, Oren Tsur



Data Mining:
Data mining is the process of discovering patterns, trends, and insights in large datasets. It involves using statistical and machine learning techniques to extract meaningful information from complex data sources.
Research​ers: Michael Fire, Mark Last, Robert Moskovitch, Noa Dagan, Noam Barda, Nadav Rappoport, Lior Rokach, Yuval Shahar, Bracha Shapira, Arnon Sturm, Assaf Zaritsky, Peretz Shoval



Network Analysis:
Network analysis is the study of social, economic, and technical networks. It involves analyzing the connections between nodes or entities in a network to identify patterns, trends, and other insights.
Research​ers: Michael Fire, Rami Puzis



Time Series Analysis:
Time series analysis is a statistical technique used to analyze time-based data. It involves modeling and forecasting trends and patterns in time-based data, such as stock prices, weather data, and other types of time series data. Time series analysis can be used to identify trends, forecast future values, and detect anomalies or other changes in the data over time.
Research​ers: Nir Grinberg, Mark Last, Lior Rokach, Yuval Shahar, Armin Shmilovici​


Medical Informatics
Medicine/Health:
Medicine is the science and practice of diagnosing, treating, and preventing diseases and injuries. It encompasses a wide range of disciplines, including anatomy, physiology, pharmacology, and pathology. Health is the state of being free from illness or injury and is influenced by a variety of factors, including lifestyle, genetics, and environmental factors.
Research​ers: Achiya Elyasaf, Robert Moskovitch, Noa Dagan, Noam Barda, Nadav Rappoport, Yuval Shahar, Isana Veksler-Lublinsky, Assaf Zaritsky​



RNA:
RNA, or ribonucleic acid, is a molecule that plays a key role in protein synthesis and gene expression. It is similar to DNA but has some distinct differences, such as being single-stranded and containing the nucleotide uracil instead of thymine. RNA is essential for the transmission of genetic information and is involved in a variety of cellular processes.
Research​ers: Achiya Elyasaf, Noa Dagan, Noam Barda, Guy Shani, Isana Veksler-Lublinsky



Vaccines:
Vaccines are biological preparations that provide immunity against infectious diseases. They work by stimulating the body's immune system to recognize and fight off specific viruses or bacteria. Vaccines have been instrumental in preventing many deadly diseases, including polio, measles, and smallpox, and are considered one of the most effective public health interventions in history.
Research​ers: Noa Dagan, Noam Barda​​