S&T | Genuine Enthusiasm for Artificial Intelligence (AI)

Machine learning is one of the hottest subjects on campus.

By Meg Murphy | School of Engineering
(via MIT News)

S&T | Genuine Enthusiasm for Artificial Intelligence (AI)

Image Attribute: Macrocosmic / Flickr Creative Commons

On an afternoon in early April, Tommi Jaakkola is pacing at the front of the vast auditorium that is 26-100. The chalkboards behind him are covered with equations. Jaakkola looks relaxed in a short-sleeved black shirt and jeans and gestures to the board. “What is the answer here?” he asks the 500 MIT students before him. “If you answer, you get a chocolate. If nobody answers, I get one — because I knew the answer and you didn’t.” The room erupts in the laughter.

With similar flair but a tighter focus on the first few rows of seats, Regina Barzilay had held the room the week prior. She paused often to ask: “Does this make sense?” If silence ensued, she warmly met the eyes of the students and reassured them: “It’s okay. It will come.” Barzilay acts as though she is teaching a small seminar rather than a stadium-sized class requiring four instructors, 15 teaching assistants, and, on occasion, an overflow room.

Welcome to “Introduction to Machine Learning,” a course in understanding how to give computers the ability to learn things without being explicitly programmed to do so. The popularity of 6.036, as it is also known, grew steadily after it was first offered, from 138 in 2013 to 302 students in 2016. This year 700 students registered for the course — so many that professors had to find ways to winnow the class down to about 500, a size that could fit in one of MIT’s largest lecture halls.

Jaakkola, the Thomas Siebel Professor in the Department of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society, and Barzilay, the Delta Electronics Professor of Electrical Engineering and Computer Science, have led 6.036 since its inception. They provide students from varied departments with the necessary tools to apply machine learning in the real world — and they do so, according to students, in a manner that is remarkably engaging.

Greg Young, an MIT senior and electrical engineering and computer science major, says the orchestration of the class, which is co-taught by Wojciech Matusik and Pablo Parrilo from the Department of Electrical Engineering and Computer Science (EECS), is impressive. This is all the more so because of the trendiness of machine learning (and, consequently, the class enrollment), in his opinion, is nearly out of hand.

“I think people are going where they think the next big thing is,” Young says. Waving an arm to indicate the hundreds of students lined up in desks below him, he says: “The professors certainly do a good job keeping us engaged, considering the size of this class.”

Indeed, the popularity of 6.036 is such that a version for graduate students — 6.862 (Applied Machine Learning) — was folded into it last spring. These students take 6.036 and do an additional semester-long project that involves applying machine learning methods to a problem in their own research.
“Nowadays machine learning is used almost everywhere to make sense of data,” says faculty lead, Stefanie Jegelka, the X-Window Consortium Career Development Assistant Professor in EECS. She says her students come from MIT’s schools of engineering, architecture, science, management, and elsewhere. Only one-third of graduate students seeking to take the spinoff secured seats this semester.

How they learn


The success of 6.036, according to its faculty designers, has to do with its balanced delivery of theoretical content and programming experience — all in enough depth to prove challenging but graspable, and, above all, useful. “Our students want to learn to think like an applied machine-learning person,” says Jaakkola, who launched the pilot course with Barzilay. “We try to expose the material in a way that enables students with the very minimal background to sort of get the gist of how things work and why they work.”

Once the domain of science fiction and movies, machine learning has become an integral part of our lived experience. From our expectations as consumers (think of those Netflix and Amazon recommendations), to how we interact with social media (those ads on Facebook are no accident), to how we acquire any kind of information (“Alexa, what is the Laplace transform?”), machine learning algorithms operate, in the simplest sense, by converting large collections of knowledge and information into predictions that are relevant to individual needs.

As a discipline, then, machine learning is the attempt to design and build computer programs that learn from the experience for the purpose of prediction or control. In 6.036, students study principles and algorithms for turning training data into effective automated predictions. “The course provides an excellent survey of techniques,” says EECS graduate student Helen Zhou, a 6.036 teaching assistant. “It helps build a foundation for understanding what all those buzzwords in the tech industry mean.”
Guadalupe Fabre, also a graduate student in electrical science and engineering and a teaching assistant, recommends 6.036 for people seeking to “develop a clear understanding of algorithms used in real life.” Fabre took the course himself as an undergraduate. “I learned to code and understand some of the latest algorithms used in machine learning,” he says. “I use a lot of the things I learned in my research.”

Be warned, however, that 6.036 teaches both theory and application, says Fabre, and grasping that combination requires hard work. “There is a risk of understanding one but not the other, and that can make the course challenging for some students,” he says. “If you want to impress interviewers with real knowledge about machine learning, take the course,” says Fabre. “However, if you are not willing to put in the time, don't take it. You are just going to stress out at the end.”

The majority of people taking 6.036 are willing to do the work, Zhou adds, crediting broad cultural excitement toward the applications of machine learning. “People in the class come from diverse backgrounds. I imagine they will apply these techniques in a wide variety of domains.”


Making it look easy


The comfort level — and charm — that Jaakkola and Barzilay display in the lecture hall is striking and goes a long way toward making their carefully designed course resonate with its huge audience. It helps dial back the impersonality that often comes with such numbers, students say.

In one of Barzilay’s recent classes, a volunteer solved an equation for k-means clustering, which involves the partitioning of data space, on the chalkboard at the front of the packed auditorium. After she correctly solved the equation, the class broke into spontaneous applause. “Wow, she solved that in front of 500 people,” shouted one student from the back of the room.

Rishabh Chandra, a first-year student who is an early sophomore in EECS, said the class size takes adjusting to. “It was hard to get beyond the first day,” he says, “but they do things to get people involved.” Half of the lectures are delivered by Barzilay and Jaakkola; additional faculty — this semester, Matusik and Parrilo — take care of the remainder.

Slipping from the same class a few minutes early to beat the rush, EECS junior Stephanie Liu, a front row regular, says Barzilay and Jaakkola have created a class that is detailed, well-structured, and even fun. “They teach really well,” she says. “And you’ve got to love the chocolates.

”Reprinted with permission of MIT News (http://news.mit.edu/)
Name

-51,1,3D Technology,2,5G,10,Abkhazia,2,Abortion Laws,1,Academics,11,Accidents,22,Activism,1,Adani Group,6,ADB,13,ADIZ,1,Adults,1,Advertising,31,Advisory,2,Aerial Reconnaissance,13,Aerial Warfare,36,Aerospace,5,Afghanistan,88,Africa,115,Agile Methodology,2,Agriculture,21,AI Policy,1,Air Crash,10,Air Defence Identification Zone,1,Air Defense,7,Air Force,29,Air Pollution,1,Airbus,5,Aircraft Carriers,5,Aircraft Systems,6,Al Nusra,1,Al Qaida,4,Al Shabab,1,Alaska,1,ALBA,1,Albania,2,Algeria,3,Alibaba,1,American History,4,AmritaJash,10,Antarctic,1,Antarctica,1,Anthropology,7,Anti Narcotics,12,Anti Tank,1,Anti-Corruption,4,Anti-dumping,1,Anti-Piracy,2,Anti-Submarine,1,Anti-Terrorism Legislation,1,Antitrust,2,APEC,1,Apple,3,Applied Sciences,2,AQAP,2,Arab League,3,Architecture,3,Arctic,6,Argentina,7,Armenia,31,Army,3,Art,3,Artificial Intelligence,84,Artillery,2,Arunachal Pradesh,2,ASEAN,13,Asia,71,Asia Pacific,24,Assassination,2,Asset Management,1,Astrophysics,2,ATGM,1,Atmospheric Science,1,Atomic.Atom,1,Augmented Reality,8,Australia,58,Austria,1,Automation,13,Automotive,133,Autonomous Flight,2,Autonomous Vehicle,4,Aviation,63,AWACS,2,Awards,17,Azerbaijan,17,Azeri,1,B2B,1,Bahrain,9,Balance of Payments,2,Balance of Trade,3,Bali,1,Balkan,10,Balochistan,2,Baltic,3,Baluchistan,8,Bangladesh,30,Banking,53,Bankruptcy,2,Basel,1,Bashar Al Asad,1,Battery Technology,3,Bay of Bengal,5,BBC,2,Beijing,1,Belarus,3,Belgium,1,Belt Road Initiative,3,Beto O'Rourke,1,BFSI,1,Bhutan,13,Big Data,30,Big Tech,1,Bilateral Cooperation,21,BIMSTEC,1,Biodiversity,1,Biography,1,Biology,1,Biotechnology,4,Birth,1,BISA,1,Bitcoin,10,Black Lives Matter,1,Black Money,3,Black Sea,2,Blockchain,33,Blood Diamonds,1,Bloomberg,1,Boeing,21,Boko Haram,7,Bolivia,7,Bomb,3,Bond Market,3,Book,11,Book Review,24,Border Conflicts,13,Border Control and Surveillance,7,Bosnia,1,Brand Management,14,Brazil,107,Brexit,22,BRI,5,BRICS,20,British,3,Broadcasting,16,Brunei,3,Brussels,1,Buddhism,1,Budget,5,Build Back Better,1,Bulgaria,1,Burma,2,Business & Economy,1269,C-UAS,1,California,5,Call for Proposals,1,Cambodia,7,Cameroon,1,Canada,58,Canadian Security Intelligence Service (CSIS),1,Carbon Economy,9,CAREC,1,Caribbean,10,CARICOM,1,Caspian Sea,2,Catalan,3,Catholic Church,1,Caucasus,9,CBRN,1,Cement,1,Central African Republic,1,Central Asia,82,Central Asian,3,Central Banks,1,Central Eastern Europe,49,Certification,1,Chad,2,Chagos Archipelago,1,Chanakya,1,Charity,2,Chatbots,2,Chemicals,7,Chemistry,1,Child Labor,1,Child Marriage,1,Children,4,Chile,10,China,599,Christianity,1,CIA,1,CIS,5,Citizenship,2,Civil Engineering,2,Civil Liberties,5,Civil Rights,2,Civil Society,5,Civil Unrest,1,Civilization,1,Clean Energy,6,Climate,68,Climate Change,29,Climate Finance,2,Climate Studies,1,Clinical Research,3,Clinton,1,Cloud Computing,46,Coal,6,Coast Guard,3,Cocoa,1,Cognitive Computing,13,Cold War,5,Colombia,16,Commodities,5,Communication,13,Communism,3,Compliance,1,Computers,40,Computing,1,Conferences,2,Conflict,117,Conflict Diamonds,1,Conflict Resolution,49,Conflict Resources,1,Congo,2,Construction,5,Consumer Behavior,4,Consumer Price Index,5,COP26,4,COP28,1,COP29,1,Copper,3,Coronavirus,107,Corporate Communication,1,Corporate Governance,4,Corporate Social Responsibility,4,Corruption,4,Costa Rica,2,Counter Intelligence,15,Counter Terrorism,81,COVID,9,COVID Vaccine,6,CPEC,8,CPG,5,Credit,2,Credit Rating,3,Credit Score,1,Crimea,4,Critical Minerals,1,CRM,1,Croatia,2,Crypto Currency,21,Cryptography,1,CSTO,1,Cuba,7,Culture,5,Currency,9,Customer Exeperience,1,Customer Relationship Management,1,Cyber Attack,10,Cyber Crime,2,Cyber Security & Warfare,118,Cybernetics,5,Cyberwarfare,16,Cyclone,1,Cyprus,5,Czech Republic,5,DACA,1,Dagestan,1,DARPA,3,Data,9,Data Analytics,36,Data Center,4,Data Science,2,Database,3,Daughter.Leslee,1,Davos,1,DEA,1,DeBeers,1,Debt,13,Debt Fund,1,Decision Support System,5,Defense,12,Defense Deals,8,Deflation,1,Deforestation,2,Deloitte,1,Democracy,22,Democrats,2,Demographic Studies,2,Demonetization,6,Denmark. F-35,1,Denuclearization,1,Diamonds,1,Digital,39,Digital Currency,3,Digital Economy,11,Digital Marketing,7,Digital Transformation,11,Diplomacy,14,Diplomatic Row,5,Disaster Management,4,Disinformation,2,Diversity & Inclusion,1,Djibouti,2,Documentary,3,Doklam,2,Dokolam,1,Dominica,2,Donald Trump,52,Donetsk,2,Dossier,2,Drones,14,E-Government,2,E-International Relations,1,Earning Reports,4,Earth Science,2,Earthquake,8,East Africa,2,East China Sea,9,eBook,1,Ebrahim Raisi,1,ECB,1,eCommerce,11,Econometrics,2,Economic Indicator,1,Economic Justice,1,Economics,46,Economy,115,ECOWAS,2,Ecuador,4,Edge Computing,2,Editor's Opinion,61,Education,67,EFTA,1,Egypt,28,Election Disinformation,1,Elections,53,Electric Vehicle,15,Electricity,7,Electronics,9,Emerging Markets,1,Employment,23,Energy,317,Energy Policy,28,Energy Politics,27,Engineering,24,England,2,Enterprise Software Solutions,9,Entrepreneurship,15,Environment,47,ePayments,14,Epidemic,6,ESA,1,Ethiopia,4,Eulogy,4,Eurasia,3,Euro,6,Europe,15,European Union,237,EuroZone,5,Exchange-traded Funds,2,Exclusive,2,Exhibitions,2,Explosives,1,Export Import,6,F-35,6,Facebook,9,Fake News,3,Fallen,1,FARC,2,Farnborough. United Kingdom,2,FATF,1,FDI,6,Featured,1432,Federal Reserve,6,Fidel Castro,1,FIFA World Cup,1,Fiji,1,Finance,19,Financial Markets,60,Financial Planning,1,Financial Statement,2,Finland,5,Fintech,15,Fiscal Policy,14,Fishery,3,Five Eyes,1,Floods,2,Food Security,27,Forces,1,Forecasting,3,Foreign Policy,13,Forex,4,France,37,Free Market,1,Free Syrian Army,4,Free Trade Agreement,1,Freedom,3,Freedom of Press,1,Freedom of Speech,2,French Polynesia,1,Frigate,1,FTC,1,Fujairah,97,Fund Management,1,Funding,23,Future,1,G20,10,G24,1,G7,4,Gaddafi,1,Gambia,2,Gambling,1,Gaming,1,Garissa Attack,1,Gas Price,24,GATT,1,Gaza,16,GCC,11,GDP,14,GDPR,1,Gender Studies,3,Geneal Management,1,General Management,1,Generative AI,9,Genetics,1,Geo Politics,105,Geography,2,Geoint,14,Geopolitics,11,Georgia,12,Georgian,1,geospatial,9,Geothermal,2,Germany,72,Ghana,3,Gibratar,1,Gig economy,1,Glaciology,1,Global Markets,1,Global Perception,1,Global Trade,101,Global Warming,1,Global Water Crisis,11,Globalization,3,Gold,5,Google,20,Gorkhaland,1,Government,129,Government Analytics,1,Government Bond,1,GPS,1,Greater Asia,185,Greece,14,Green Bonds,1,Green Energy,3,Greenland,1,Gross Domestic Product,2,GST,1,Gujarat,6,Gulf of Tonkin,1,Gun Control,4,Hacking,5,Haiti,2,Hamas,12,Hasan,1,Health,8,Healthcare,72,Heatwave,2,Helicopter,12,Heliport,1,Hezbollah,3,High Altitude Warfare,1,High Speed Railway System,1,Hillary 2016,1,Hillary Clinton,1,Himalaya,1,Hinduism,2,Hindutva,4,History,10,Home Security,1,Honduras,2,Hong Kong,7,Horn of Africa,5,Housing,17,Houthi,13,Howitzer,1,Human Development,32,Human Resource Management,5,Human Rights,7,Humanitarian,3,Hungary,3,Hunger,3,Hydrocarbon,3,Hydrogen,5,IAEA,2,ICBM,1,Iceland,2,ICO,1,Identification,2,IDF,1,Imaging,2,IMEEC,2,IMF,77,Immigration,21,Impeachment,1,Imran Khan,1,Independent Media,73,India,691,India's,1,Indian Air Force,19,Indian Army,7,Indian Nationalism,1,Indian Navy,28,Indian Ocean,25,Indices,1,Indigenous rights,1,Indo-Pacific,9,Indonesia,25,IndraStra,1,Industrial Accidents,4,Industrial Automation,2,Industrial Safety,4,Inflation,10,Infographic,1,Information Leaks,1,Infrastructure,3,Innovations,22,Insider Trading,1,Insurance,3,Intellectual Property,3,Intelligence,5,Intelligence Analysis,8,Interest Rate,4,International Business,13,International Law,11,International Relations,9,Internet,53,Internet of Things,35,Interview,8,Intra-Government,5,Investigative Journalism,4,Investment,33,Investor Relations,1,IPEF,1,iPhone,1,IPO,4,Iran,213,Iraq,54,IRGC,1,Iron & Steel,5,ISAF,1,ISIL,9,ISIS,33,Islam,12,Islamic Banking,1,Islamic State,86,Israel,154,ISRO,1,IT ITeS,136,Italy,10,Ivory Coast,1,Jabhat al-Nusra,1,Jack Ma,1,Jamaica,3,Japan,95,JASDF,1,Jihad,1,JMSDF,1,Joe Biden,8,Joint Strike Fighter,5,Jordan,7,Journalism,6,Judicial,4,Julian Assange,1,Justice System,3,Kamala Harris,3,Kanchin,1,Kashmir,10,Kaspersky,1,Kazakhstan,26,Kenya,6,Khalistan,2,Kiev,1,Kindle,700,Knowledge Management,4,Korean Conflict,1,Kosovo,2,Kubernetes,1,Kurdistan,8,Kurds,10,Kuwait,7,Kyrgyzstan,9,Labor Laws,10,Labor Market,4,Ladakh,1,Land Reforms,3,Land Warfare,21,Languages,1,Laos,2,Large language models,1,Laser Defense Systems,1,Latin America,84,Law,6,Leadership,3,Lebanon,12,Legal,11,LGBTQ,2,Li Keqiang,1,Liberalism,1,Library Science,1,Libya,14,Liechtenstein,1,Lifestyle,2,Light Battle Tank,1,Linkedin,1,Lithium,1,Lithuania,1,Littoral Warfare,2,Livelihood,3,Loans,11,Lockdown,1,Lone Wolf Attacks,3,Lugansk,2,Macedonia,1,Machine Learning,8,Madagascar,1,Mahmoud,1,Main Battle Tank,3,Malaysia,12,Maldives,13,Mali,7,Malware,2,Management Consulting,6,Manpower,1,Manto,1,Manufacturing,16,Marijuana,1,Marine Biology,1,Marine Engineering,3,Maritime,51,Market Research,2,Marketing,38,Mars,2,Martech,10,Mass Media,30,Mass Shooting,1,Material Science,2,Mauritania,1,Mauritius,3,MDGs,1,Mechatronics,2,Media War,1,MediaWiki,1,Medical,1,Medicare,1,Mediterranean,12,MENA,6,Mental Health,4,Mercosur,2,Mergers and Acquisitions,19,Meta,3,Metadata,2,Metals,4,Mexico,14,Micro-finance,4,Microsoft,12,Migration,19,Mike Pence,1,Military,113,Military Exercise,12,Military Service,2,Military-Industrial Complex,3,Mining,16,Missile Launching Facilities,6,Missile Systems,57,Mobile Apps,3,Mobile Communications,12,Mobility,4,Modi,8,Moldova,1,Monaco,1,Monetary Policy,6,Money Market,2,Mongolia,11,Monkeypox,1,Monsoon,1,Montreux Convention,1,Moon,4,Morocco,2,Morsi,1,Mortgage,3,Moscow,2,Motivation,1,Mozambique,1,Mubarak,1,Multilateralism,2,Mumbai,1,Muslim Brotherhood,2,Mutual Funds,2,Myanmar,30,NAFTA,3,NAM,2,Namibia,1,Nanotechnology,4,Narendra Modi,4,NASA,14,NASDAQ,1,National Identification Card,1,National Security,5,Nationalism,2,NATO,34,Natural Disasters,16,Natural Gas,33,Natural Language Processing,1,Nauru,1,Naval Aviation,1,Naval Base,5,Naval Engineering,24,Naval Intelligence,2,Naval Postgraduate School,2,Naval Warfare,50,Navigation,2,Navy,23,NBC Warfare,2,NDC,1,Nearshoring,1,Negotiations,2,Nepal,13,Netflix,1,Neurosciences,7,New Caledonia,1,New Delhi,4,New Normal,1,New York,5,New Zealand,7,News,1327,News Publishers,1,Newspaper,1,NFT,1,NGO,1,Nicaragua,1,Niger,3,Nigeria,10,Nikki Haley,1,Nirbhaya,1,Noble Prize,1,Non Aligned Movement,1,Non Government Organization,4,Nonproliferation,2,North Africa,23,North America,55,North Korea,60,Norway,5,NSA,1,NSG,2,Nuclear,41,Nuclear Agreement,32,Nuclear Doctrine,2,Nuclear Energy,7,Nuclear Fussion,1,Nuclear Propulsion,2,Nuclear Security,47,Nuclear Submarine,1,NYSE,2,Obama,3,ObamaCare,2,OBOR,15,Ocean Engineering,1,Oceania,2,OECD,5,OFID,5,Oil & Gas,388,Oil Gas,7,Oil Price,77,Olympics,2,Oman,25,Omicron,1,Oncology,1,Online Education,5,Online Reputation Management,1,OPEC,130,Open Access,1,Open Journal Systems,2,Open Letter,1,Open Source,4,OpenAI,2,Operation Unified Protector,1,Operational Research,4,Opinion,709,Opinon Poll,1,Optical Communications,1,Pacific,5,Pakistan,183,Pakistan Air Force,3,Pakistan Army,1,Pakistan Navy,3,Palestine,27,Palm Oil,1,Pandemic,84,Papal,1,Paper,3,Papers,110,Papua New Guinea,2,Paracels,1,Partition,1,Partnership,1,Party Congress,1,Passport,1,Patents,2,PATRIOT Act,1,Payment Orchestration,1,Peace Deal,6,Peacekeeping Mission,1,Pension,1,People Management,1,Persian Gulf,19,Peru,6,Petrochemicals,1,Petroleum,19,Pharmaceuticals,15,Philippines,19,Philosophy,2,Photos,3,Physics,1,Pipelines,6,PLA,2,PLAN,4,Plastic Industry,2,Poland,8,Polar,1,Policing,1,Policy,8,Policy Brief,6,Political Studies,1,Politics,56,Polynesia,3,Pope,1,Population,7,Portugal,1,Poverty,8,Power Transmission,6,Preprint,1,President APJ Abdul Kalam,2,Presidential Election,34,Press Release,158,Prison System,1,Privacy,18,Private Debt Fund,1,Private Equity,3,Private Military Contractors,2,Privatization,1,Programming,1,Project Management,4,Propaganda,5,Protests,14,Psychology,3,Public Policy,55,Public Relations,1,Public Safety,7,Publications,1,Publishing,8,Purchasing Managers' Index,1,Putin,7,Q&A,1,Qatar,114,QC/QA,1,Qods Force,1,Quad,1,Quantum Computing,4,Quantum Physics,4,Quarter Results,2,Racial Justice,2,RADAR,2,Rahul Guhathakurta,4,Railway,9,Raj,1,Ranking,4,Rape,1,RBI,1,RCEP,2,Real Estate,7,Recall,4,Recession,2,Red Sea,6,Referendum,5,Reforms,18,Refugee,23,Regional,4,Regulations,2,Rehabilitation,1,Religion,1,Religion & Spirituality,9,Renewable,18,Report,4,Reports,53,Repository,1,Republicans,3,Rescue Operation,2,Research,5,Research and Development,25,Restructuring,1,Retail,36,Revenue Management,1,Revenue-based Financing,1,Rice,1,Risk Management,5,Robotics,8,Rohingya,5,Romania,3,Royal Canadian Air Force,1,Rupee,1,Russia,327,Russian Navy,6,Saab,1,Saadat,1,SAARC,6,Safety,1,SAFTA,1,SAM,2,Samoa,1,Sanctions,6,SAR,1,SAT,1,Satellite,14,Saudi Arabia,130,Scandinavia,6,Science & Technology,407,Science Fiction,1,SCO,5,Scotland,6,Scud Missile,1,Sea Lanes of Communications,4,SEBI,4,Securities,2,Security,6,Semiconductor,21,Senate,4,Senegal,1,SEO,5,Serbia,4,Services Sector,1,Seychelles,3,SEZ,1,Shadow Bank,1,Shale Gas,4,Shanghai,1,Sharjah,12,Shia,6,Shinzo Abe,1,Shipping,11,Shutdown,2,Siachen,1,Sierra Leone,1,Signal Intelligence,1,Sikkim,5,Silicon Valley,1,Silk Route,6,Simulations,2,Sinai,1,Singapore,17,Situational Awareness,20,Small Modular Nuclear Reactors,1,Smart Cities,7,Smartphones,1,Social Media,1,Social Media Intelligence,40,Social Policy,40,Social Science,1,Social Security,1,Socialism,1,Sociology,1,Soft Power,1,Software,8,Software Engineering,1,Solar Energy,17,Somalia,5,South Africa,20,South America,55,South Asia,495,South China Sea,36,South East Asia,84,South Korea,66,South Sudan,4,Sovereign Wealth Funds,1,Soviet,2,Soviet Union,9,Space,47,Space Station,3,Spaceflight,1,Spain,9,Special Education,1,Special Forces,1,Sports,3,Sports Diplomacy,1,Spratlys,1,Sri Lanka,25,Stablecoin,1,Stamps,1,Startups,43,State,1,State of the Union,1,Statistics,1,STEM,1,Stephen Harper,1,Stock Markets,29,Storm,2,Strategy Games,5,Strike,1,Sub-Sahara,4,Submarine,16,Sudan,6,Sunni,6,Super computing,1,Supply Chain Management,48,Surveillance,13,Survey,5,Sustainable Development,18,Swami Vivekananda,1,Sweden,4,Switzerland,6,Syria,112,Taiwan,34,Tajikistan,12,Taliban,17,Tamar Gas Fields,1,Tamil,1,Tanzania,4,Tariff,5,Tata,3,Taxation,25,Tech Fest,1,Technology,13,Tel-Aviv,1,Telecom,24,Telematics,1,Territorial Disputes,1,Terrorism,78,Testing,2,Texas,3,Thailand,12,The Middle East,664,Think Tank,317,Tibet,3,TikTok,2,Tim Walz,1,Tobacco,1,Tonga,1,Total Quality Management,2,Town Planning,3,TPP,2,Trade Agreements,14,Trade War,10,Trademarks,1,Trainging and Development,1,Transcaucasus,22,Transcript,4,Transpacific,2,Transportation,47,Travel and Tourism,16,Tsar,1,Tunisia,7,Turkey,75,Turkmenistan,10,U.S. Air Force,3,U.S. Dollar,2,UAE,140,UAV,23,UCAV,1,Udwains,1,Uganda,1,Ukraine,116,Ukraine War,29,Ummah,1,UNCLOS,7,Unemployment,2,UNESCO,1,UNHCR,1,UNIDO,2,United Kingdom,86,United Nations,29,United States,786,University and Colleges,4,Uranium,2,Urban Planning,10,US Army,12,US Army Aviation,1,US Congress,1,US FDA,1,US Navy,18,US Postal Service,1,US Senate,1,US Space Force,2,USA,16,USAF,22,USV,1,UUV,1,Uyghur,3,Uzbekistan,13,Valuation,1,Vatican,3,Vedant,1,Venezuela,22,Venture Capital,4,Vibrant Gujarat,1,Victim,1,Videogames,1,Vietnam,26,Virtual Reality,7,Vision 2030,1,VPN,1,Wahhabism,3,War,1,War Games,1,Warfare,1,Water,18,Water Politics,8,Weapons,11,Wearable,2,Weather,2,Webinar,1,WeChat,1,WEF,3,Welfare,1,West,2,West Africa,19,West Bengal,2,Western Sahara,2,Whales,1,White House,1,Whitepaper,2,WHO,3,Wholesale Price Index,1,Wikileaks,2,Wikipedia,3,Wildfire,1,Wildlife,3,Wind Energy,1,Windows,1,Wireless Security,1,Wisconsin,1,Women,10,Women's Right,14,Workers Union,1,Workshop,1,World Bank,39,World Economy,33,World Peace,10,World War I,1,World War II,3,WTO,6,Wyoming,1,Xi Jinping,9,Xinjiang,2,Yemen,29,Yevgeny Prigozhin,1,Zbigniew Brzezinski,1,Zimbabwe,2,
ltr
item
IndraStra Global: S&T | Genuine Enthusiasm for Artificial Intelligence (AI)
S&T | Genuine Enthusiasm for Artificial Intelligence (AI)
Machine learning is one of the hottest subjects on campus.
https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiq91-EVSrYTovInl8uzlmZAFlwDoSChOd61z_EnzWk3m1T7BqpnGP5O-T2manT8M7jQtxuGyKgtnHfJo35x7gyBfIg6EeLOfNdHOWjMMUKqSI8LRKczX7soVZFLpOo2vFYjnrEEpQvEu5Z/s640/17509747641_34b5cafa89_o.jpg
https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiq91-EVSrYTovInl8uzlmZAFlwDoSChOd61z_EnzWk3m1T7BqpnGP5O-T2manT8M7jQtxuGyKgtnHfJo35x7gyBfIg6EeLOfNdHOWjMMUKqSI8LRKczX7soVZFLpOo2vFYjnrEEpQvEu5Z/s72-c/17509747641_34b5cafa89_o.jpg
IndraStra Global
https://www.indrastra.com/2017/05/ST-genuine-enthusiasm-for-artificial-intelligence-003-05-2017-0003.html
https://www.indrastra.com/
https://www.indrastra.com/
https://www.indrastra.com/2017/05/ST-genuine-enthusiasm-for-artificial-intelligence-003-05-2017-0003.html
true
1461303524738926686
UTF-8
Loaded All Posts Not found any posts VIEW ALL Readmore Reply Cancel reply Delete By Home PAGES POSTS View All RECOMMENDED FOR YOU LABEL ARCHIVE SEARCH ALL POSTS Not found any post match with your request Back Home Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sun Mon Tue Wed Thu Fri Sat January February March April May June July August September October November December Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec just now 1 minute ago $$1$$ minutes ago 1 hour ago $$1$$ hours ago Yesterday $$1$$ days ago $$1$$ weeks ago more than 5 weeks ago Followers Follow THIS PREMIUM CONTENT IS LOCKED STEP 1: Share to a social network STEP 2: Click the link on your social network Copy All Code Select All Code All codes were copied to your clipboard Can not copy the codes / texts, please press [CTRL]+[C] (or CMD+C with Mac) to copy Table of Content