מוזמנים להצטרף למפגשי סמינר ייחודיים בתחום בינה מלאכותית ורובוטיקה. למידע נוסף בקרו באתר הסמינר: Technion Robotics Seminar

Join us for the Israeli Conference on Speech, Language and AI July 23, 2025 at the Technion, Haifa Organizers: Yossi Keshet, Technion and Yossi Adi, Meta and The Hebrew University

We are pleased to invite you to our upcoming Tech.AI Robotics Conference on February 5, 2025. This event will be a unique opportunity to explore the latest advancements in AI and robotics, connect with leading experts, and gain insights into the cutting-edge developments in the field. For more details about the conference and for registration, please click here. We encourage you to secure your spot early, as spaces are limited. If you have any questions or need further information, feel free to reach out to us at Tech-ai@technion.ac.il. We look forward to seeing you there! Tech.AI Team  

We are pleased to invite you to participate in the upcoming seminar of the Technion-Rambam initiative in Medical AI (TERA) to discuss the Ethics in Medical AI.

The seminar will be held on Monday, 25^th November, at the Cathedral Hall (the Stone Building at Rambam Health Care Campus), starting at 13:00 p.m. We will be delighted to see you at the event; please confirm your participation here https://forms.gle/cengGKv2r8LDpWsU7 

Advances in Deep Learning: Transformers

Prof. Yossi Keshet

Sep 22-23, 2024

 

Please leave your information here, and we will get back to you shortly when registration opens.

  The Transformer architecture has emerged as a groundbreaking deep learning model, revolutionizing various domains with its powerful representation of sequential data. This course delves into the fascinating world of Transformers, exploring their fundamental concepts, theoretical underpinnings, and practical applications.   We begin by thoroughly examining the Transformer model itself, unpacking its innovative self-attention mechanism and its ability to capture long-range dependencies efficiently. This theoretical foundation will provide a solid understanding of the architectural principles that have propelled Transformers to the forefront of modern deep learning.   Building upon this knowledge, we will explore the transformative impact of Transformers across multiple fields. In natural language processing (NLP), we will study how Transformers have enabled the development of large language models like BERT and ChatGPT, pushing the boundaries of text generation, understanding, and analysis.   Furthermore, we will delve into the realm of automatic speech recognition (ASR), where Transformer-based models such as wav2vec, HuBERT, and Whisper have achieved state-of-the-art performance, revolutionizing the way we interact with spoken language.   Extending our exploration to computer vision, we will examine how Transformers have been adapted to handle visual data, leading to groundbreaking models that have reshaped image and video understanding tasks.   Throughout the course, we will critically analyze the latest research developments, discussing theoretical advancements, practical applications, and the potential future directions of Transformer architectures. By the end of this comprehensive journey, you will possess a deep understanding of Transformers, equipping you with the knowledge and skills to harness their power in your own research or industry projects.  

• Introduction
• The roots of the Transformer architecture and how it was developed: RNN, LSTM, sequence-to-sequence, attention mechanism, LAS
• Transformers structure and the self-attention mechanism
• Components of Transformers and their usage
• What is the expressive power of Transformers?
• Reinforcement learning from human feedback (RLHF) and Direct Preference Optimization (DPO)
• Efficient Transformers: Flash Networks; RWKV
• In-context learning
• Prompts and the limitation of the alignment problem
• Transformers implementation in NLP
• Transformers Implementation in Speech
• Transformers Implementation in Vision

   

Prof. Ido Roll: Associate Professor and Senior Vice Provost for the Advancement of Learning and Teaching, Faculty of Education in Science and Technology and Faculty of Data and Decision Sciences Tuesday, June 18, 2024, 17:30-18:30, Faculty of Data and Decision Sciences, Bloomfield Building, 5th Floor, Room 526. Artificial intelligence tools have the potential to revolutionize higher education or become just another item on a long list of tools that couldn't break tradition. I will briefly present some specific developments in the field of artificial intelligence in higher education, followed by a discussion on the topic, both generally and at the Technion in particular. The only rules: no overgeneralizations (robots will kill/serve us all) and no excessive anecdotes (my niece wrote a Eurovision song in Swahili/Yiddish with ChatGPT). The meeting will be held in Hebrew Please register for the meeting here: הרשמה למפגשי בינה מלאכותית בחינוך, הטכניון (google.com)

בינה מלאכותית והחינוך הגבוה - לאן אנו צועדים?

פרופ' עדו רול: פרופסור חבר וסגן המשנה הבכיר לנשיא לקידום הלמידה וההוראה, הפקולטה לחינוך למדע וטכנולוגיה והפקולטה למדעי הנתונים וההחלטות

יום שלישי, 18.6.24, 17:30-18:30, הפקולטה למדעי הנתונים וההחלטות, בניין בלומפילד, קומה 5, חדר 526.

לכלי בינה מלאכותית פוטנציאל לעשות מהפיכה של ממש בחינוך הגבוה, או להיות עוד הזדמנות ברשימה ארוכה של כלים שלא יכלו למסורת. אציג בקצרה מספר התפתחויות ספציפיות לתחום של בינה מלאכותית בחינוך הגבוה ואז נערוך דיון בנושא באופן כללי ובטכניון בפרט. הכללים היחידים: בלי הכללות יתר (הרובוטים יהרגו/ישרתו את כולנו) ובלי יותר מדי אנקדוטות (אחיינית שלי כתבה שיר לאירוויזיון בסוואהילית/יידיש בעזרת צ׳אט).

On Monday, 27.5.2024, the Tech.AI Biomed conference, will be held in the Technion Visitors Center. Registration now open!  

It was mR Tk ! We tried to touch on the future, to understand how to understand the shared space and how best to organize technologically and humanly for the moment when we will live together - an autonomous machine alongside man.
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