IEEE YOUNG PROFESSIONALS HANDS ON ARDUINO WORKSHOP FOR BEGINNERS AT TCNJ, SATURDAY MARCH 16, 2024
Room: ED-109, 2000 Pennington Rd, Ewing, New Jersey, United States, 08618Please join us for a fun filled hands-on workshop sponsored by the IEEE Princeton Central Section, from 12:25 pm till 2:25 pm at the New Education Building room 109. The event will take place during the 45th annual original personal computer festival, Saturday March 16, 2024. – Children under 12 Free; Free Parking & Wi-Fi – Free Streaming through https://tcf-nj.org/ In-Person Admission: $15 (advance), $20 (at door) The main goal of the workshop is to introduce participants to electronic devices and basic circuit theory. The Arduino is an affordable, flexible, open-source microcontroller platform using a simplified C programming language and it is designed to make it easy for hobbyists to create homemade projects. Participants are expected to bring a PC and in order to save some time they are also encouraged to download the Arduino software ahead of time. Step by step instruction can be found at the website. https://www.arduino.cc/en/Main/Software. Room: ED-109, 2000 Pennington Rd, Ewing, New Jersey, United States, 08618
Introduction to Neural Networks and Deep Learning (Part I)
Boston, Massachusetts, United States, Virtual: https://events.vtools.ieee.org/m/401136Course Format: Live Webinar, 3.5 hours of instruction! Series Overview: From the book introduction: “Neural networks and deep learning currently provides the best solutions to many problems in image recognition, speech recognition, and natural language processing.” This Part 1 and the planned Part 2, (to be confirmed) series of courses will teach many of the core concepts behind neural networks and deep learning. This is a live instructor-led introductory course on Neural Networks and Deep Learning. It is planned to be a two-part series of courses. The first course is complete by itself and covers a feedforward neural network (but not convolutional neural network in Part 1). It will be a pre-requisite for the planned Part 2 second course. The class material is mostly from the highly-regarded and free online book “Neural Networks and Deep Learning” by Michael Nielsen, plus additional material such as some proofs of fundamental equations not provided in the book. More from the book introduction: Reference book: “Neural Networks and Deep Learning” by Michael Nielsen, http://neuralnetworksanddeeplearning.com/ “We’ll learn the core principles behind neural networks and deep learning by attacking a concrete problem: the problem of teaching a computer to recognize handwritten digits. …it can be solved pretty well using a simple neural network, with just a few tens of lines of code, and no special libraries.” “But you don’t need to be a professional programmer.” The code provided is in Python, which even if you don’t program in Python, should be easy to understand with just a little effort. Benefits of attending the series: * Learn the core principles behind neural networks and deep learning. * See a simple Python program that solves a concrete problem: teaching a computer to recognize a handwritten digit. * Improve the result through incorporating more and more core ideas about neural networks and deep learning. * Understand the theory, with worked-out proofs of fundamental The demo Python program (updated from version provided in the book) can be downloaded from the speaker’s GitHub account. The demo program is run in a Docker container that runs on your Mac, Windows, or Linux personal computer; we plan to provide instructions on doing that in advance of the class. (That would be one good reason to register early if you plan to attend, in order that you can receive the straightforward instructions and leave yourself with plenty of time to prepare the Git and Docker software that are widely used among software professionals.) Course Background and Content: This is a live instructor-led introductory course on Neural Networks and Deep Learning. It is planned to be a two-part series of courses. The first course is complete by itself and covers a feedforward neural network (but not convolutional neural network in Part 1). It will be a pre-requisite for the planned Part 2 second course. The class material is mostly from the highly-regarded and free online book “Neural Networks and Deep Learning” by Michael Nielsen, plus additional material such as some proofs of fundamental equations not provided in the book. Outline: - Feedforward Neural Networks - Simple (Python) Network to classify a handwritten digit - Learning with Stochastic Gradient Descent - How the backpropagation algorithm work - Improving the way neural networks learn: - - Cross-entropy cost function - SoftMax activation function and log-likelihood cost function - Rectified Linear Unit - Overfitting and Regularization: - - L2 regularization - Dropout - Artificially expanding data set Pre-requisites: There is some heavier mathematics in learning the four fundamental equations behind backpropagation, so a basic familiarity with multivariable calculus and matrix algebra is expected, but nothing advanced is required. (The backpropagation equations can be also just accepted without bothering with the proofs since the provided Python code for the simple network just make use of the equations.) Basic familiarity with Python or similar computer language. Speaker(s): CL Kim, Boston, Massachusetts, United States, Virtual: https://events.vtools.ieee.org/m/401136
2024 Trenton Computer Festival (TCF) – 48th Annual Festival
The College of New Jersey (TCNJ), 2000 Pennington Road, Ewing, New Jersey, United States, 08628THEME: Putting Generative AI to Work - Promises and Problems The First and Longest-Running Computer Festival in the World! Saturday March 16, 2024 | 9:00 am – 5:00 pm ET | Saturday March 16, 2024 Details and most update information goto https://tcf-nj.org – Children under 12 Free; Free Parking & Wi-Fi – Free Streaming through https://tcf-nj.org/ In-Person Admission in advance is $15 and at the door is $20 Ham Cram starts at 9:00 am – Talks start at 10:15 am – Vendors open 9:00 am0 – 3:30 pm – Banquet: 6:30 pm (extra fee) IEEE / ACM IT PROFESSIONAL CONFERENCE Friday March 15, 2024 In-Person & Streaming Info: https://princetonacm.acm.org/tcfpro EV Car Show at TCF Saturday March 16, 2024, 10 am to 2 pm Conducted by NJEVA, The New Jersey Electric Vehicle Association (Weather Permitting) https://jerseyeva.com Ham Cram Session & Exam: Saturday March 16, 2024 Get an Amateur Radio License in ONE DAY at TCF! Cram begins at 9:00 am https://tcf-nj.org/ 50+ Talks, Workshops, Tutorials, Demos, and Vendor Faire! Robotics | Drones | Gaming | Sarnoff Tours | EV Car Events | OOP University (Python & Java) TCF2024 is sponsored by The College of New Jersey, its School of Engineering and supporting organizations. Speaker(s): Michael Littman The College of New Jersey (TCNJ), 2000 Pennington Road, Ewing, New Jersey, United States, 08628
EPIC AI Failures; Two AI Medical Case studies, MYCIN and WATSON
Room: ED204, Bldg: Education Building , The College of New Jersey, Metzger Dr, Ewing, New Jersey, United States, 08618EPIC AI Failures; Two AI Medical Case studies, MYCIN and WATSON Abstract: EPIC, describing AI Failures are carefully worded and selected and meant to consider the level of failure when understanding MYCIN, a significant and historical rules-based LISP expert system. MYCIN began in 1974 with a team of Stanford MD's and PhDs led by Bruce G. Buchanan and Edward H. Shortliffe, spanning 10 years of MYCIN experiments and culminating with a publication of the classic MYCIN AI study, "RULE-BASED EXPERT SYSTEMS: THE MYCIN EXPERIMENTS OF THE STANFORD HEURISTIC PROGRAMMING PROJECT" by Buchanan and Shortliffe. For my Masters work in the mid80's, I was given the assignment to read (748 pages!), write an analysis of this work, and to write in LISP a backward-chain inference engine. The book focused on the need for MD's to rapidly identify both the specific bacteria infection agent and corresponding antibiotics. Twenty two years after MYCIN was released and no longer used by MD’s, my sister, father, and mother were all victims of the lengthy time (~ 3 days) hospitals and labs required to incubate (in a petri dish) and identify both the infectious bacteria and the effective antibiotic. Three members of my family passed after 2 days and just before the answers came in from the lab. Hence my frustration. We are in the year 2024, and the same test was applied in the 80's but the number of effective antibiotics is reduced! In some cases, referenced to the number zero. IBM's WATSON was introduced in 2011 as the AI question-answering computer that beat Ken Jennings in "Jeopardy". IBM focused WATSON on answering significant medical problems and we will discuss why this system failed even after IBM spent over 60 million dollars and created Medical partnerships. To end on a positive note, we will mention embedded ML and prove smart sensors have been measurably successful. You will find this well-referenced speech fascinating! Bio: The speaker, Joe Jesson, co-founded & was CTO of a General Electric business, Asset Intelligence, a GE business that designed and sold remote IoT sensors for the logistics and energy sectors. Machine learning and LPWAN sensor communication became an integral part of the remote monitoring and management of mobile and remote assets. An ongoing research goal is to reduce the smart energy costs where 100% of the power is generated by ambient energy harvesting. Joe is currently CEO of RF Sigint Group and has over 25+ years of engineering and management experience with Motorola APD, Oak Technology, BP, and General Electric. Master's degree from DePaul University & working on a Ph.D.defense. Contact: [email protected] Note: this is a TCF Event - No need to register, but you need to purchase a TCF all-day admission ticket at https://tcf-nj.org/ Room: ED204, Bldg: Education Building , The College of New Jersey, Metzger Dr, Ewing, New Jersey, United States, 08618
T-1 (ED 115): Low Energy Sensor Platform – Leveraging Machine Learning
Room: ED115, Bldg: Education, The College of New Jersey, Metzger Dr, Ewing, New Jersey, United States, 08618Low Energy Sensor Platform - Leveraging Machine Learning Abstract: Applications of embedded AI, specifically ML (Machine Learning) and object classification has been growing exponentially as decision logic moves to the edge. Proven advantages of low energy consumption, low costs, and independent target classification drive this implementation and is transforming smart city management, agriculture, medical, health care, bridge and building structure health management (SHM), and smart logistics just to name a few game-changing applications. Several specific ML applications will be discussed including a vision ML application applied to logistics, a remote visual cargo classification smart sensor (currently in production). Challenges of a small vs. large CNN model when improving object identification and accuracy will also be discussed and why ML at the network edge is a game-changer. Finally, we will compare and contrast the AI categories of large language models and the energy-constrained tiny ML sensor models. Bio: The speaker, Joe Jesson, co-founded & was CTO of a General Electric business, Asset Intelligence, a GE business that designed and sold remote IoT sensors for the logistics and energy sectors. Machine learning and LPWAN sensor communication became an integral part of the remote monitoring and management of mobile and remote assets. An ongoing research goal is to reduce the smart energy costs where 100% of the power is generated by ambient energy harvesting. Joe is currently CEO of RF Sigint Group and has over 25+ years of engineering and management experience with Motorola APD, Oak Technology, BP, and General Electric. Master's degree from DePaul University & working on a Ph.D.defense. Contact: [email protected] Note: this is a TCF Event - No need to register, but you need to purchase a TCF all-day admission ticket at https://tcf-nj.org/ Room: ED115, Bldg: Education, The College of New Jersey, Metzger Dr, Ewing, New Jersey, United States, 08618
2024 Trenton Computer Festival (TCF) – Banquet Ticket
The College of New Jersey (TCNJ), 2000 Pennington Road, Ewing, New Jersey, United States, 08628TCF THEME: Putting Generative AI to Work - Promises and Problems The First and Longest-Running Computer Festival in the World! Saturday March 16, 2024 | 9:00 am – 5:00 pm ET | Saturday March 16, 2024 Banquet - Saturday March 16, 2024 | 6:30 pm – 9:00 pm ET | Saturday March 16, 2024 Details and most update information goto https://tcf-nj.org Banquet ticket must be purchase in advance is $45 before March 11th (Ticket pickup is at the TCF registration area) TCF2024 is sponsored by The College of New Jersey, its School of Engineering and supporting organizations. Speaker(s): Michael Littman ***CANCELED*** The College of New Jersey (TCNJ), 2000 Pennington Road, Ewing, New Jersey, United States, 08628