ICT & AI
14 Results were found on Technologies
Sub Category Name
Agent-Based Modeling of Pedestrian Mobility in the City From Research to Opportunity: Unlocking the Value of Pedestrian Flow Data
Understanding and predicting pedestrian flows across a city is critical for smarter urban planning, infrastructure investment, and business decision-making. Traditional data collection is expensive, fragmented, and limited in scope, making large-scale insights difficult to obtain. Our solution: a city-scale Agent-Based Modeling (ABM) platform that combines high-resolution spatio-temporal and GPS-based walking data with advanced Machine Learning […] Read More >
Execution Guided Line-by-Line Code Generation
Large language models (LLMs) have revolutionized the field of code generation, demonstrating impressive capabilities in automating programming tasks and assisting developers. Despite these advancements, current methods primarily rely on pattern recognition from static code representations, often producing syntactically plausible but functionally incorrect code. Many of these models lack the ability to explicitly reason about runtime […] Read More >
Overclocking LLM Reasoning- Monitoring and Controlling Thinking Path Lengths in LLMs
Large Language Models (LLMs) like ChatGPT have revolutionized AI-powered reasoning, enabling applications across diverse domains. However, their internal reasoning processes often remain opaque, leaving users in the dark about how long the model will take to arrive at an answer. UNMET NEED Currently, users interact with reasoning models without any indication of the internal progress […] Read More >
Text-Guided Real-World Image Restoration
Capturing images in limited conditions (such as low-light, high dynamic range, etc.) is hard and the resulting images are not good. Since the camera is limited in such scenarios, capturing such scenes becomes difficult. Using a novel image processing method with artificial intelligence (AI) technology the user can talk to the camera and describe the […] Read More >
Virtual Robot Facilitator for Small Group Discussions in an Online Environment
In the post-COVID era, many activities has transferred to a collaborative online environment. Both in the education system as well as the workplace, many classes and meetings are held in videoconferencing of small groups. These have been repeatedly shown to be the most effective mode of operation. The problem Online meetings of small groups tend […] Read More >
Image Processing – Non-Local Image Dehazing
Prof. Shai Avidan Tel Aviv University, School of Electrical Engineering Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of […] Read More >
Anomaly Detection in Video
We propose a new method for anomaly detection of human actions. Our method works directly on human pose graphs that can be computed from an input video sequence. This makes the analysis independent of nuisance parameters such as viewpoint or illumination. We map these graphs to a latent space and cluster them. Each action is […] Read More >
DYNAMIC MAPS FOR EXPLORING AND BROWSING OF IMAGES
Technology Our technology enables navigating over a collection of high dimensional entities (such as images, videos, text documents and more) in an interface similar to online map navigation interfaces. The map is ordered such that similar entities are put next to each other, so the browsing experience is continuous. It is dynamic in the sense […] Read More >
INFERRING THE PERIODICITY OF DISCRETE SIGNALS
A method for testing a signal comprises obtaining a signal, determining whether the signal has at least one period, measuring that period and providing the measurement as output. A power spectral density estimation can be used for signals having a single period, and an autocorrelation function with slicing can be used in an iterative procedure […] Read More >
Hyperspectral Imaging Method and System using a Flock of Small Satellites
Remote sensing by satellites is the most major tool in earth observation. In recent decades, governments and the private sector have invested billions in earth surveillance satellite missions. Environmental and agricultural surveillance requires multi-spectral visible, NIR, SWIR, and thermal imagery. Traditionally imagery satellites equipped with a bulky high-resolution camera resulted in heavy and expensive satellite […] Read More >
