Netanel Life Map – (Please zoom-in)
This will show my life path and progress.
Netanel BIOS – (Tech-Bio)
This BIOS was designed according to the first software I ever came across (1993).
SightBit is a startup project, developing deep technology to increases safety and security around water environments. Leveraging the company’s proprietary deep learning AI models and computer vision technology, its capabilities include human detection and classification, drowning detection and prediction, ship & vessel detection, floods prediction, and much more, using simple and off-the-shelf cameras. NO sensors, NO edge processing, NO customization.
The project-based on state-of-the-art Panoptic deep learning model and special data augmentation.
VizNet is a deep learning project intending to research and produce a unique type of artificial neural networks architecture to bridge the gap of video tasks.
Holding the basics from CNN and RNN networks along with the most important dimension -> TIME. The project attaches great and crucial importance to the structure, limitations, and quality of data that comes naturally from video cameras.
Stage: Initial POC
I am a Director R&D of the Data and Analytics group at Synamedia, which is known as world-leading company for cover content distribution and delivery, video processing, advanced advertising, broadband solutions, and video security. I am also the Founder of SightBit, which develops Artificial Intelligence Systems for Smart Detection of Adverse Situations in Water to Prevent Escalation.
I grew up with a computer in my hand, so my knowledge is wide ranging from operating systems and IT to an expertise in artificial intelligence.
I worked at major organizations like IDF, Strauss, Intel, and the Israeli Prime Minister Office, where I gained skills in Deep Learning, Computer Vision, Cyber Security, and even Product Design.
My playground (for now) is Mac + VSC + Python + C + Linux + GPU + Data.
My top tech skills:
Product & Project Management
Machine & Deep Learning
IT, Linux OS, and AWS
Python & Bash
Data Science for AI
RentBot s a development project based on WhatsApp Meta API and python along with computer vision algorithms and deep learning to provide automation assets management app in a form of an automatic bot.
[Meta WhatsApp + Python + AWS + Detectron2]
This is an initial but independent project with the aim of providing another large project with the possibility of providing an interaction mechanism for users.
Stage: POC -> MVP
Website: Q4 2022
GitHub: click here
AdaptiveBridge AdaptiveBridge is a revolutionary Python library that provides adaptive modelling for machine learning applications, particularly in the realm of Artificial Intelligence. It tackles a common challenge in AI projects: handling missing data features in real-world scenarios.
Machine learning models are often trained on specific features, but when deployed, users may not have access to all those features for predictions. AdaptiveBridge bridges this gap by enabling models to intelligently predict and fill in missing features, similar to how humans handle incomplete data. This ensures that AI models can seamlessly manage missing data and features while providing accurate predictions.
With AdaptiveBridge, integrating this powerful tool into your ML pipelines is easy. Fit the class to your data, and let it handle missing features intelligently. Detailed comments and comprehensive documentation are provided for straightforward implementation on the GitHub and PyPi websites
Cylon .1 is an AI brainstorming project intending to research and build the first algorithm pseudo-code for real independent self-maintained artificial intelligence consciousness.
The project takes a simplistic approach that takes the principles of structure and development of a human baby in its early days while addressing the most basic principles required for care.
For example – management, search, optimization, and handling of basic resources in order to enable continuous activity for the entity.
Another example – is a feedback system that manages everything and responds to every process of the entity -> principle of action and reward, pain and happiness, success and failure.
Website: Mindmap (2023)
Esc : Quit
F11 : Full Screen
↑ ↓ → ← : Not doing anything