• Molecular Switches in Solid Media (No. T4-1927)

    Scientist: Rafal Klajn

    Molecular photoswitches are light-responsive molecules with potential applications in a broad range of systems with on-demand functionalities. While molecular photoswitches have been extensively studied in solution, their immobilization to dry, planar surfaces generally renders them photochemically unresponsive. This inv ... Read more
  • Monitoring and Classifying Complex Social Interactions (No. T4-1571)

    Scientist: Tali Kimchi

    A novel social behavior monitoring system automatically tracks the precise location of each animal at excellent temporal resolution. This innovative technology provides simultaneous identification of complex social and individual behaviors via an integration of RFID and video surveillance. There is a rapidly growing inte ... Read more
  • Protecting RFID Tags from Power Analysis (No. T4-1447)

    Scientist: Adi Shamir

    A cheap and effective solution for protecting RFID tags from power attacks. RFID tags are secure tags present in many applications (e.g. secure passports). They are poised to become the most far-reaching wireless technology since the cell phone, with worldwide revenues expected to reach $2.8 billion in 2009. RFID tags we ... Read more
  • Removing Artifacts from EEG Measurments Triggerd by Transcranial Magnetic Stimulation (No. T4-1800)

    Scientist: Elisha Moses

    A new software tool used for the removal of artifacts from transcranial magnetic stimulation (TMS) triggered electroencephalography (EEG) was developed by the group of Prof. Moses. The combined use of TMS with EEG allows for a unique measurement of the brain's global response to localized and abrupt stimulations. This ma ... Read more
  • Secure Search of Encrypted Cloud Data (No. T4-1840)

    Scientist: Moni Naor

    Searchable symmetric encryption with practical big-data performance and strong security Highlights Outsourcing data storage to remote servers offers invaluable benefits while introducing many concerns when dealing with sensitive data. In the presence of potentially-vulnerable servers, strong user-side encryption preserve ... Read more
  • Signal Enhancement and Manipulation Using a Signal-Specific Deep Network (No. T4-1850)

    Scientist: Michal Irani

    Optical and dimensional limitations of images can be partially overcome today using signal enhancement technologies which typically rely on supervised, deep-learning methods. However, as existing methods are restricted to specific training images and distortion types, they provide poor results for any practical case, unl ... Read more
  • Unsupervised Content-Based Image Retrieval (CBIR) and categorization (No. T4-1647)

    Scientist: Michal Irani

    Novel algorithms developed at the Weizmann Institute of Science for Content-Based Image Retrieval (CBIR) can enhance search engines by crowd-sourcing and improved clustering.Discovering visual categories among collection of images is a long standing challenge in computer vision, which limits images-based search engines. ... Read more


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