Threads/Fediverse: @yannlecun (ML/AI, announcements, photos, politics)
LinkedIn: yann-lecun (ML/AI research and industry, announcements)
Facebook: yann.lecun (general, science, ML/AI, culture, hobbies, photos)
BlueSky: @yann-lecun.bsky.social (Not using it much)
Twitter/X: @ylecun (I no longer write posts on X)
Note: X has devolved into an antagonistic propaganda tool. As of December 2024, I no longer write posts on X. As a favor to my numerous followers, I tweet links to posts on other platforms (occasionally), I retweet interesting contents from others (sometimes), and I comment on tweets by friends (rarely). But I don't write substantial content.

Assistants
Executive Assistant - AMI Labs: Sean Nguyen: sean[at]amilabs.xyz
Administrative Aide - NYU: Hong Tam +1-212-998-3374 hongtam[at]cs.nyu.edu

FOR INVITATIONS TO SPEAK: please send email to lecuninvites[at]gmail.com
(I really can't handle invitations sent to other email addresses)

IF YOU REALLY NEED ME TO DO SOMETHING FOR YOU: (e.g. a review, a letter...) please send email to Sean Nguyen sean[at]amilabs.xyz

NYU coordinates:
Address: Room 516, 60 Fifth Avenue, New York, NY 10011, USA.
Email: yann.lecun[at]nyu.edu (I may not respond right away)
Phone: +1-212-998-3283 (I am very unlikely to respond or listen to voice mail in a timely manner)

AMI Labs Coordinates:
Email: yann[at]amilabs.xyz (I may not respond right away)

Main Research Interests:
AI, Machine Learning, Computer Vision, Robotics, and Computational Neuroscience. I am also interested Physics of Computation, and many applications of machine learning.

Deep Learning Course:
Deep Learning course at NYU:
Complete course on Deep Learning, with all the material available on line including lectures and practicums, videos, slide decks, homeworks, Jupyter notebooks, and transcripts in several languages.

A Path Towards Autonomous Machine Intelligence

How could machines learn as efficiently as humans and animals? How could machines learn to reason and plan? How could machines learn representations of percepts and action plans at multiple levels of abstraction, enabling them to reason, predict, and plan at multiple time horizons? This position paper proposes an architecture and training paradigms with which to construct autonomous intelligent agents. It combines concepts such as configurable predictive world model, behavior driven through intrinsic motivation, and hierarchical joint embedding architectures trained with self-supervised learning.

Quand La Machine Apprend

La Plus Belle Histoire de l'Intelligence

How to Build a Vibrant Technology Industry (by attracting scientists to your country) (2025-05-30)

Five Ways to Act Deluded, Stupid, Ineffective, or Evil (2025-04-28)

AI and the Future of Europe, a Defining Moment (2025-02-09)

In which we argue that funding from the newly-formed European AI Research Council should go to small groups of talented researchers and not be administered as a large project managed from the top down.

Address to the UN Security Council (2024-12-19)

I was invited by Secretary of State Antony Blinken to speak about AI at the UN Security Council meeting on 2024-12-19. I was followed by Fei-Fei Li, and representatives from UNSC member states.

In my speech, I argued for free/open source foundation models and for international cooperation to train "universal" foundation models that speak all the languages in the world and understand all cultures and value systems.

Proposal for a new publishing model in Computer Science (2009-12-01)

Many computer Science researchers are complaining that our emphasis on highly selective conference publications, and our double-blind reviewing system stifles innovation and slow the rate of progress of Science and technology.

This pamphlet proposes a new publishing model based on an open repository and open (but anonymous) reviews which creates a "market" between papers and reviewing entities.

Current PhD Students

Current Postdocs

Former PhD Students

Former Postdocs

Honors and Awards

Podcasts in English:

Podcasts en français:

Press interviews and articles

We are working on a class of learning systems called Energy-Based Models, and Deep Belief Networks. We are also working on convolutional nets for visual recognition , and a type of graphical models known as factor graphs.

We have projects in computer vision, object detection, object recognition, mobile robotics, bio-informatics, biological image analysis, medical signal processing, signal processing, and financial prediction,....

Jump to my course page at NYU, and see course descriptions, slides, course material...

Animals and humans can learn to see, perceive, act, and communicate with an efficiency that no Machine Learning method can approach. The brains of humans and animals are "deep", in the sense that each action is the result of a long chain of synaptic communications (many layers of processing). We are currently researching efficient learning algorithms for such "deep architectures". We are currently concentrating on unsupervised learning algorithms that can be used to produce deep hierarchies of features for visual recognition. We surmise that understanding deep learning will not only enable us to build more intelligent machines, but will also help us understand human intelligence and the mechanisms of human learning.

We are developing a new type of relational graphical models that can be applied to "structured regression problem". A prime example of structured regression problem is the prediction of house prices. The price of a house depends not only on the characteristics of the house, but also of the prices of similar houses in the neighborhood, or perhaps on hidden features of the neighborhood that influence them. Our relational regression model infers a hidden "desirability sruface" from which house prices are predicted.

Prior to the LAGR project, we worked on the DAVE project, an attempt to train a small mobile robot to drive autonomously in off-road environments by looking over the shoulder of a human operator.

Hum Saath Saath Hain English Subtitles Patched (2024)

Hum Saath Saath Hain is more than just a film—it is a cultural touchstone that celebrates unity, love, and tradition. A poorly synced or incomplete subtitle file can ruin the emotional impact of key scenes, especially the climactic family reunification. By seeking out or creating a patched English subtitle file, you ensure that non-Hindi speakers can fully appreciate the performances, the music, and the heartfelt message.

Whether you manually adjust timings using Subtitle Edit, download a pre-patched community version, or stream on a platform with corrected captions, the goal is the same: to bring people together—because, after all, hum saath saath hain (we are together).

Call to Action:
Have you successfully patched subtitles for Hum Saath Saath Hain? Share your tips and your patched SRT file link (for legal copies only) in the comments below. And if you found this guide helpful, don’t forget to share it with fellow Bollywood enthusiasts.

Meta Description:
Struggling to find Hum Saath Saath Hain with perfect English subtitles? Learn how to download and patch SRT files to fix sync issues, add song translations, and enjoy this 1999 Bollywood classic without missing a word. Step-by-step guide inside.

The phrase Hum Saath-Saath Hain English Subtitles Patched" typically refers to a digital version of the 1999 Bollywood classic that has been modified to include high-quality, synchronized English subtitles. In the context of online media sharing, a "patched" file often means that missing or poor-quality subtitles from the original release have been fixed or replaced by fans or third-party editors to improve the viewing experience for international audiences. The Significance of Subtitles for Hum Saath-Saath Hain Hum Saath-Saath Hain is a landmark family drama directed by Sooraj Barjatya

that centers on the values of the joint family system, sibling bonds, and traditional Indian culture. Precise English subtitles are critical for this film because: Cultural Nuance

: The film is deeply rooted in Indian traditions and "Sanskaar" (values). Patched subtitles often go beyond literal translation to explain cultural idioms and familial terms like (elder brother) or (sister-in-law) that are central to the plot. Musical Storytelling

: A significant portion of the narrative is told through its highly popular songs

like "Maiyya Yashoda" and "Mhare Hiwda." Patched subtitles ensure these lyrics are translated meaningfully so non-Hindi speakers can follow the emotional progression of the scenes. Accessibility : High-quality "patched" files often include Subtitles for the Deaf and Hard-of-Hearing (SDH)

, providing descriptions of sound effects and musical cues that are mandatory for modern inclusive viewing. Evolution of Accessibility in Indian Cinema

The demand for "patched" subtitles reflects a broader movement toward accessibility in Indian cinema. New Mandates : From March 15, 2026, the Central Board of Film Certification (CBFC)

has made it mandatory for all Indian theatrical releases to include subtitles and audio descriptions to support viewers with hearing and visual impairments. Global Reach

: As Bollywood films expand into international markets and OTT platforms like Amazon Prime Video

, English subtitles serve as a strategic tool to bridge linguistic gaps and foster cross-cultural understanding. Summary of the Film's Theme

For fans of the 1999 Bollywood masterpiece Hum Saath Saath Hain

, finding a "patched" version usually refers to obtaining high-quality English Subtitles that are perfectly synced to the film's audio. This cult-classic family drama, directed by Sooraj Barjatya and produced by Rajshri Productions, remains a staple for viewers seeking traditional Indian values and ensemble performances. Where to Watch with Subtitles

The most reliable way to experience the film with professionally "patched" and synced English subtitles is through official streaming platforms: Netflix: Offers the film with built-in English Subtitles.

Prime Video: Available for streaming as part of the Prime collection.

Apple TV: Provides the movie with English (United States) and French subtitle options. Manually Patching Subtitles

If you have a digital copy and need to add or "patch" a subtitle file (typically in .srt format), you can use several reputable resources:

Subtitle Downloaders: Sites like Subdl and Moviesubtitles.org host multiple subtitle versions for various video releases.

Auto-Translation Tools: If you are watching clips on platforms like YouTube, you can use the Auto-Translate feature by clicking the gear icon and selecting English.

Mobile Apps: Apps like Get Subtitles for Android and iPhone can automatically find and download matching subtitle tracks for files stored on your device. Movie Summary hum saath saath hain english subtitles patched

The film is a modern-day adaptation of the Ramayana, focusing on the bond of three brothers in a wealthy joint family. The harmony is threatened when a misguided matriarch, Mamta, is manipulated into alienating her stepson, Vivek, to protect the inheritance of her biological sons, Prem and Vinod. Hum Saath Saath Hain - ‎Apple TV

You're referring to the popular Bollywood movie "Hum Saath Saath Hain"!

Here's a potential feature on the movie with English subtitles:

Movie Title: Hum Saath Saath Hain (1999) Genre: Family Drama, Romance Director: Sanjay Chhel Starring: Salman Khan, Sonakshi Sinha, Mohnish Bahl, Renuka Shahane, and others

Synopsis:

Hum Saath Saath Hain is a heartwarming family drama that explores the complexities of relationships, love, and family bonds. The movie revolves around the lives of two friends, Aman (Salman Khan) and Sanjana (Sonakshi Sinha), who fall in love, but their happiness is short-lived due to misunderstandings and family conflicts.

Feature:

Plot Highlights:

Technical Details:

Watch and Enjoy:

You can now watch Hum Saath Saath Hain (1999) with English subtitles, patched and ready for streaming or download. Experience the emotional rollercoaster ride of love, family, and relationships with this iconic Bollywood film.

Title: "Hum Saath Saath Hain English Subtitles Patched: A Timeless Bollywood Classic Now Accessible to Global Audiences"

Introduction

The 1999 Bollywood film "Hum Saath Saath Hain" is a beloved family drama that has stood the test of time. Directed by Sooraj Barjatya, the movie tells the story of love, family, and relationships, resonating with audiences across India and beyond. However, for international viewers who may not be fluent in Hindi, watching this iconic film was a challenge – until now. With the availability of "Hum Saath Saath Hain English subtitles patched," fans worldwide can finally experience the magic of this cinematic masterpiece.

The Film's Enduring Appeal

"Hum Saath Saath Hain" boasts an all-star cast, including Salman Khan, Sonakshi Sinha, Mohnish Bahl, and Renuka Shahane. The film's narrative revolves around the life of Prem (Salman Khan), a young man from a wealthy family who falls in love with a simple, traditional girl named Kanchan (Renuka Shahane). As their relationship navigates the complexities of family dynamics, the movie explores themes of love, sacrifice, and the importance of family bonds.

The film's memorable dialogues, melodious soundtrack, and heartfelt performances have made it a favorite among Bollywood enthusiasts. The movie's success can be attributed to its relatable storyline, which continues to resonate with audiences today.

Breaking Language Barriers with English Subtitles

The addition of English subtitles to "Hum Saath Saath Hain" has opened up the film to a broader audience. With "Hum Saath Saath Hain English subtitles patched," viewers who may not be proficient in Hindi can now follow the story, characters, and emotions without any language barriers. This development has sparked a renewed interest in the film, allowing it to reach a new generation of fans worldwide.

The patching of English subtitles also ensures a seamless viewing experience, with accurately timed and formatted subtitles that complement the film's original audio. This attention to detail allows viewers to fully immerse themselves in the story, without distractions or confusion.

Impact on Global Audiences

The availability of "Hum Saath Saath Hain English subtitles patched" has significant implications for global audiences: Hum Saath Saath Hain is more than just

Technical Aspects of Subtitle Patching

The process of patching English subtitles into "Hum Saath Saath Hain" involves several technical steps:

Conclusion

The availability of "Hum Saath Saath Hain English subtitles patched" is a significant development for fans of Bollywood cinema worldwide. This timeless classic, once limited by language barriers, can now be enjoyed by a broader audience. The film's enduring appeal, coupled with the addition of English subtitles, has made it an attractive option for viewers seeking to explore Indian cinema.

As the world becomes increasingly interconnected, the demand for accessible and culturally diverse content continues to grow. The patching of English subtitles into "Hum Saath Saath Hain" is a step in the right direction, bridging the gap between cultures and allowing audiences to experience the beauty of Bollywood.

Get Ready to Experience the Magic of "Hum Saath Saath Hain"

If you're a fan of Bollywood cinema or simply looking to explore Indian culture, "Hum Saath Saath Hain English subtitles patched" is a must-watch. With its universal themes, memorable characters, and captivating storyline, this film is sure to leave a lasting impression.

So, grab some popcorn, get cozy, and immerse yourself in the world of "Hum Saath Saath Hain." Experience the emotions, laughter, and tears that have captivated audiences for decades. With English subtitles patched, you can now be a part of the magic that has made this film a timeless classic.

Watch "Hum Saath Saath Hain" with English Subtitles Patched

You can find "Hum Saath Saath Hain English subtitles patched" on various streaming platforms or download the film from reputable sources. Enjoy the movie and discover why it remains one of the most beloved Bollywood films of all time!

For those looking for Hum Saath Saath Hain with English subtitles, "patched" versions typically refer to fan-made or community-corrected subtitle files that fix timing issues or translation errors found in early physical releases. However, the most reliable and high-quality way to view the film with accurate English subtitles is through official streaming and rental platforms where these features are integrated and optimized. Official Streaming Platforms

You can watch Hum Saath Saath Hain with high-quality English subtitles on these major services:

Netflix: Offers the film with built-in official English subtitles.

Amazon Prime Video: Available for streaming in various regions; subtitles can usually be toggled from the player menu.

ZEE5: As the official platform for many Zee Entertainment titles, it provides full English subtitle support with customizable display preferences.

Hungama OTT: Provides the full movie online, often listed under the English title We Stand United. Digital Purchase and Rental

If you prefer to own a digital copy, these stores offer high-definition versions with English subtitles:

The next example comes from iTunes, the popular video streaming platform from Apple.

Watching the 1999 classic Hum Saath-Saath Hain (HSSH) with English subtitles can be tricky because many older digital copies—including those on YouTube or older DVDs—often suffer from timing sync issues garbled text where the dialogue doesn't match the captions.

in this context typically refers to community-fixed subtitle files (.srt) or "re-muxed" video files where the subtitle delay and translation errors have been manually corrected to align perfectly with the 3-hour runtime. 📺 Best Ways to Get "Fixed" Subtitles

If you are struggling with a version where the subtitles are broken, here are the most reliable ways to find a "patched" experience: Official Streaming Platforms Amazon Prime Video

have the most professionally "patched" and synced English subtitles available today. Call to Action: Have you successfully patched subtitles

also host high-definition versions with modern subtitle tracks. Manual Subtitle Downloads

If you already have a video file and the subtitles are off-sync, you can download a verified "patched" .srt file from sites like SubtitlesHub YouTube Auto-Translate If watching the official Rajshri YouTube version

, you can often "patch" the experience yourself by clicking the and selecting Auto-translate > English in the settings gear. ‎Apple TV 🛠️ Why Subtitles Often Need a "Patch" Runtime Differences

: Versions of HSSH vary in length due to the inclusion or exclusion of certain songs or the "ABC" title sequence. A subtitle file for a 170-minute version won't work for a 180-minute version. Translation Nuance

: Older subtitles often used literal translations that missed the cultural context of a "Joint Family" (the "Saath-Saath" or "Togetherness" theme). Encoding Errors

The search for a "patched" version of Hum Saath-Saath Hain

(1999) typically refers to digital copies where fans or third parties have manually synchronized or "patched" English subtitles into a video file that originally lacked them. While such versions are common on unofficial torrent or sharing sites, several high-quality official versions now come pre-packaged with English subtitles, making a "patch" unnecessary for most viewers. Film Significance and Context

Production: Directed by Sooraj Barjatya and produced by Rajshri Productions, it was the highest-grossing Bollywood film of 1999.

Plot: A classic family drama centering on a wealthy joint family led by patriarch Ramkishen. The story explores the bonds between three brothers—Vivek, Prem, and Vinod—and the challenges that arise when a misunderstanding threatens their unity.

Themes: It is a quintessential example of "Sanskari" cinema, emphasizing traditional Indian values, respect for elders, and the ideal of staying together through adversity. Where to Find Subtitled Versions

Official platforms have replaced the need for manual subtitle patching by offering built-in English subs: Hum Saath-Saath Hain: Film Overview | PDF - Scribd

Title: Sutured Narratives and Algorithmic Repair: A Semiotic and Cultural Analysis of "Patched" Subtitles in Hum Saath-Saath Hain

Abstract

This paper explores the phenomenon of the "patched" subtitle file, specifically regarding the 1999 Indian family drama Hum Saath-Saath Hain (HSSH). Moving beyond technical utility, this study interrogates the "patched" subtitle as a site of cultural negotiation, technological remediation, and textual instability. By examining the friction between the original Hindi linguistics, the "English" cultural imperative, and the amateur-editor’s intervention, we argue that the patched subtitle creates a third, hybrid text—a "pirate canon"—that redefines the diasporic reception of the "Great Indian Family" film.

I can’t host files directly here, but here’s how to find the patched subs:

Check the file size – Good patched subs are usually 50–65 KB.

Preview at these timestamps to verify sync:

Hum Saath-Saath Hain is a film obsessed with the maintenance of boundaries—both physical (the household walls) and cultural (tradition vs. modernity). The "patched" subtitle file is a crucial tool for the Second Generation Diasporic Subject—a viewer who may lack fluency in Hindi but possesses a deep emotional investment in the cultural signifiers.

For this viewer, a poor subtitle track creates an alienating effect, severing them from the "Mother Culture." The "patched" file acts as a prosthetic memory. When the patch corrects a translation of the film’s central philosophy—"The family that eats together, stays together"—it validates the viewer’s nostalgia.

However, the patch also introduces a cultural lag. The English used in patched subtitles often varies wildly in tone. One scene might feature modern, casual English, while the next—due to a different editor’s intervention—might feature stilted, formal English. This creates a "Frankenstein" text, where the unity of the family on screen is ironically mirrored by the fragmentation of the subtitle text beneath it.

hum saath saath hain english subtitles patched

My main research topic until I left AT&T was the DjVu project. DjVu is a document format, a set of compression methods and a software platform for distributing scanned and digitally produced documents on the Web. DjVu image files of scanned documents are typically 3-8 times smaller than PDF or TIFF-groupIV for bitonal and 5-10 times smaller than PDF or JPEG for color (at 300 DPI). DjVu versions of digitally produced documents are more compact and render much faster than the PDF or PostScript versions.

My main research interest is machine learning, particularly how it applies to perception, and more particularly to visual perception.

I am currently working on two architectures for gradient-based perceptual learning: graph transformer networks and convolutional networks.

Convolutional Nets are a special kind of neural net architecture designed to recognize images directly from pixel data. Convolutional Nets can be trained to detect, segment and recognize objects with excellent robustness to noise, and variations of position, scale, angle, and shape.

Have a look at the animated demonstrations of LeNet-5, a Convolutional Nets trained to recognize handwritten digit strings.

Convolutional nets and graph transformer networks are embedded in several high speed scanners used by banks to read checks. A system I helped develop reads an estimated 10 percent of all the checks written in the US.

Check out this page, and/or read this paper to learn more about Convolutional Nets and graph transformer networks.

The MNIST database contains 60,000 training samples and 10,000 test samples of size-normalized handwritten digits. This database was derived from the original NIST databases.

MNIST is widely used by researchers as a benchmark for testing pattern recognition methods, and by students for class projects in pattern recognition, machine learning, and statistics.

I have several interests beside my family (my wife and three sons) and my research:

My former group at AT&T (the Image Processing Research Department) and its ancestor (Larry Jackel's Adaptive Systems Research Department) made numerous contributions to Machine Learning, Image Compression, Pattern Recognition, Synthetic Persons (talking heads), and Neural-Net Hardware. Specific contributions not mentioned elsewhere on this site include the ever so popular Support Vector Machine, the PlayMail and Virt2Elle synthetic talking heads, the Net32K and ANNA neural net chips, and many others. Visit my former group's home page for more details.

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