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IBM CodeNet: Artificial Intelligence That Can Program Computers And Solve A $100 Billion Legacy Code Problem

Senior Analyst, AI & Quantum Computing Paul Smiith-Goodson dives deeper as for the past two and a half years, Dr. Puri and a team from IBM Research and the MIT-IBM Watson AI Lab have worked on a massive code-intensive AI for Code project. ....

United States , Ruchir Puri , Arvind Krishna , Watson Ai Lab , Us Department Of Defense , Chief Scientist , Project Codenet , Computer Vision , Codenet Artificial Intelligence , Legacy Code , ஒன்றுபட்டது மாநிலங்களில் , ருச்சிர் பூரி , அரவிந்த் கிருஷ்ணா , வாட்சன் ஐ ஆய்வகம் , எங்களுக்கு துறை ஆஃப் பாதுகாப்பு , தலைமை விஞ்ஞானி , கணினி பார்வை , மரபு குறியீடு ,

Solving the efficiency problem at the heart of AI

Backed by investors such as technologist Tej Kohli, Rewired invests across five verticals including machine learning, robotics, bionics, sensors, mapping and localization. ....

Tej Kohli , Michael Carbin , Neil Thompson , Jonathan Frankle , Watson Ai Lab , Nature Communications , University Of Massachusetts At Amherst , European Conference , Computer Vision , Song Han , Ari Morcos , தேஜ் கோஹ்லி , மைக்கேல் கார்பின் , நீல் தாம்சன் , வாட்சன் ஐ ஆய்வகம் , இயற்கை தகவல்தொடர்புகள் , பல்கலைக்கழகம் ஆஃப் மாசசூசெட்ஸ் இல் மஹேர்ஸ்ட , ஐரோப்பிய மாநாடு , கணினி பார்வை , பாடல் ஹான் ,

IBM compiles dataset to teach software how software is made: 14m code samples, half of which actually work

Big Blue hopes to create the ImageNet of training resources for AI-powered programming tools
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Think IBM has assembled a massive silo of source code for teaching machine-learning programs about programming.
Dubbed Project CodeNet, the set contains, we re told, 14 million code samples totaling 500 million lines in more than 55 programming languages, from Java, C, and Go to COBOL, Pascal, and FORTRAN. Truth be told, more than three-quarters of it all is in C++ and Python.
This source code wasn t taken from production nor in-development applications: it was collected from entries submitted to two programming contests organized in Japan: Aizu and AtCoder. In these contests, competitors are challenged to write the necessary code to turn a given set of inputs into a set of desired outputs. About half of the samples work as expected, and the rest are labeled as either wrong solutions, non-building, or buggy. ....

Watson Ai Lab , Project Codenet , வாட்சன் ஐ ஆய்வகம் ,

This new robotics challenge could bring us closer to human-level AI

This new robotics challenge could bring us closer to human-level AI
Pushing the boundaries of embodied AI
Ben Dickson is the founder of TechTalks. He writes regularly about business, technology and politics. Follow him on Twitter and Facebook
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Ben Dickson is the founder of TechTalks. He writes regularly about business, technology and politics. Follow him on Twitter and Facebook
Since the early decades of artificial intelligence, humanoid robots have been a staple of sci-fi books, movies, and cartoons. Yet, after decades of research and development in AI, we still have nothing that comes close to the Jetsonsâ Rosey the Robot. ....

Watson Ai Lab , Massachusetts Institute Of Technology , Principal Research Staff Member , Stanford University , Massachusetts Institute , Transport Challenge , Computer Vision , Pattern Recognition , வாட்சன் ஐ ஆய்வகம் , மாசசூசெட்ஸ் நிறுவனம் ஆஃப் தொழில்நுட்பம் , ப்ரிந்ஸிபல் ஆராய்ச்சி ஊழியர்கள் உறுப்பினர் , ஸ்டான்போர்ட் பல்கலைக்கழகம் , மாசசூசெட்ஸ் நிறுவனம் , போக்குவரத்து சவால் , கணினி பார்வை , முறை அங்கீகாரம் ,

Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence | MIT News

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Image: Lillie Paquette/MIT School of Engineering
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Not so long ago, watching a movie on a smartphone seemed impossible. Vivienne Sze was a graduate student at MIT at the time, in the mid 2000s, and she was drawn to the challenge of compressing video to keep image quality high without draining the phone’s battery. The solution she hit upon called for co-designing energy-efficient circuits with energy-efficient algorithms.
Sze would go on to be part of the team that won an Engineering Emmy Award for developing the video compression standards still in use today. Now an associate professor in MIT’s Department of Electrical Engineering and Computer Science, Sze has set her sights on a new milestone: bringing artificial intelligence applications to smartphones and tiny robots. ....

Vivienne Sze , Thomas Heldt , Aude Oliva , Sertac Karaman , Joel Emer , Watson Ai Lab , Department Of Electrical Engineering , Engineering Emmy Award , Electrical Engineering , Computer Science , Assistant Professor Song Han , தாமஸ் நடைபெற்றது , ஆடி ஒலிவா , ஜோயல் எமர் , வாட்சன் ஐ ஆய்வகம் , துறை ஆஃப் மின் பொறியியல் , பொறியியல் எம்மி விருது , மின் பொறியியல் , கணினி அறிவியல் , உதவியாளர் ப்ரொஃபெஸர் பாடல் ஹான் ,