# Computer science

3,407 courses and talks.

- [Can AI match the human brain?](https://invisiblenetwork.ai/learn/ted/surya_ganguli_can_ai_match_the_human_brain): Surya Ganguli · TED
- [Pool medical patents, save lives](https://invisiblenetwork.ai/learn/ted/ellen_t_hoen_pool_medical_patents_save_lives): Ellen 't Hoen · TED
- [How computers translate human language](https://invisiblenetwork.ai/learn/ted/ioannis_papachimonas_how_computers_translate_human_language): Ioannis Papachimonas · TED
- [Could your new best friend be an AI-powered NPC? w/ Purnendu Mukherjee](https://invisiblenetwork.ai/learn/ted/the_ted_ai_show_could_your_new_best_friend_be_an_ai_powered_npc_w_purnendu_mukherjee): The TED AI Show · TED
- [How AI is discovering athletes that human scouts miss](https://invisiblenetwork.ai/learn/ted/richard_felton_thomas_how_ai_is_discovering_athletes_that_human_scouts_miss): Richard Felton-Thomas · TED
- [The Factory | Think Like A Coder, Ep 9](https://invisiblenetwork.ai/learn/ted/alex_rosenthal_the_factory_think_like_a_coder_ep_9): Alex Rosenthal · TED
- [The World Machine | Think Like A Coder, Ep 10](https://invisiblenetwork.ai/learn/ted/alex_rosenthal_the_world_machine_think_like_a_coder_ep_10): Alex Rosenthal · TED
- [How AI is decoding ancient scrolls](https://invisiblenetwork.ai/learn/ted/julian_schilliger_and_youssef_nader_how_ai_is_decoding_ancient_scrolls): Julian Schilliger and Youssef Nader · TED
- [Love, trust and marketing in the age of AI](https://invisiblenetwork.ai/learn/ted/amaryllis_liampoti_love_trust_and_marketing_in_the_age_of_ai): Amaryllis Liampoti · TED
- [4 lessons from robots about being human](https://invisiblenetwork.ai/learn/ted/ken_goldberg_4_lessons_from_robots_about_being_human): Ken Goldberg · TED
- [Taking OLPC to Colombia](https://invisiblenetwork.ai/learn/ted/nicholas_negroponte_taking_olpc_to_colombia): Nicholas Negroponte · TED
- [The mind-reading potential of AI](https://invisiblenetwork.ai/learn/ted/chin_teng_lin_the_mind_reading_potential_of_ai): Chin-Teng Lin · TED
- [Have we reached the limit of computer power?](https://invisiblenetwork.ai/learn/ted/sajan_saini_and_george_zaidan_have_we_reached_the_limit_of_computer_power): Sajan Saini and George Zaidan · TED
- [Can AI help us speak with wolves?](https://invisiblenetwork.ai/learn/ted/jeffrey_t_reed_can_ai_help_us_speak_with_wolves): Jeffrey T. Reed · TED
- [Can machines read your emotions?](https://invisiblenetwork.ai/learn/ted/kostas_karpouzis_can_machines_read_your_emotions): Kostas Karpouzis · TED
- [What if AI could spot your lies?](https://invisiblenetwork.ai/learn/ted/riccardo_loconte_what_if_ai_could_spot_your_lies): Riccardo Loconte · TED
- [How light and code can transform a city](https://invisiblenetwork.ai/learn/ted/leo_villareal_how_light_and_code_can_transform_a_city): Leo Villareal · TED
- [3 possible futures for AI — which will we choose?](https://invisiblenetwork.ai/learn/ted/alvin_w_graylin_3_possible_futures_for_ai_which_will_we_choose): Alvin W. Graylin · TED
- [What's our relationship to AI? It's complicated](https://invisiblenetwork.ai/learn/ted/ac_coppens_kasley_killam_and_apolinario_passos_what_s_our_relationship_to_ai_it_s_complicated): AC Coppens, Kasley Killam and Apolinário Passos · TED
- [Everything you need to know about AI agents](https://invisiblenetwork.ai/learn/ted/swami_sivasubramanian_everything_you_need_to_know_about_ai_agents): Swami Sivasubramanian · TED
- [The human cell is wildly complex. Can AI decode it?](https://invisiblenetwork.ai/learn/ted/silvana_konermann_the_human_cell_is_wildly_complex_can_ai_decode_it): Silvana Konermann · TED
- [Can AI catch what doctors miss?](https://invisiblenetwork.ai/learn/ted/eric_topol_can_ai_catch_what_doctors_miss): Eric Topol · TED
- [The machine that changed our understanding of human history](https://invisiblenetwork.ai/learn/ted/max_g_levy_the_machine_that_changed_our_understanding_of_human_history): Max G. Levy · TED
- [My journey in design](https://invisiblenetwork.ai/learn/ted/john_maeda_my_journey_in_design): John Maeda · TED
- [What happens when your dog uses the internet](https://invisiblenetwork.ai/learn/ted/ilyena_hirskyj_douglas_what_happens_when_your_dog_uses_the_internet): Ilyena Hirskyj-Douglas · TED
- ["The Unprompted," a poem that AI will never understand](https://invisiblenetwork.ai/learn/ted/salome_agbaroji_the_unprompted_a_poem_that_ai_will_never_understand): Salome Agbaroji · TED
- [Why humans should merge with AI](https://invisiblenetwork.ai/learn/ted/d_scott_phoenix_why_humans_should_merge_with_ai): D. Scott Phoenix · TED
- [Computer Science 61A - Spring 2011](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_438297790): Brian HARVEY · University of California, Berkeley (40 lectures)
- [Deep learning, neural networks and the future of AI](https://invisiblenetwork.ai/learn/ted/yann_lecun_deep_learning_neural_networks_and_the_future_of_ai): Yann LeCun · TED
- [Beyond the Talk: Tristan Harris on seeing the dangers of AI clearly](https://invisiblenetwork.ai/learn/ted/tristan_harris_beyond_the_talk_tristan_harris_on_seeing_the_dangers_of_ai_clearly): Tristan Harris · TED
- [Industry 4.0: how intelligent machines will transform everything we know](https://invisiblenetwork.ai/learn/ted/markus_lorenz_industry_4_0_how_intelligent_machines_will_transform_everything_we_know): Markus Lorenz · TED
- [Open science now!](https://invisiblenetwork.ai/learn/ted/michael_nielsen_open_science_now): Michael Nielsen · TED
- [How competition is stifling AI breakthroughs](https://invisiblenetwork.ai/learn/ted/llion_jones_how_competition_is_stifling_ai_breakthroughs): Llion Jones · TED
- [The path to mathematical superintelligence](https://invisiblenetwork.ai/learn/ted/tudor_achim_the_path_to_mathematical_superintelligence): Tudor Achim · TED
- [Can we actually control superintelligent AI? | Ada, Ep. 4](https://invisiblenetwork.ai/learn/ted/elizabeth_cox_can_we_actually_control_superintelligent_ai_ada_ep_4): Elizabeth Cox · TED
- [What ancestral intelligence can teach us about AI](https://invisiblenetwork.ai/learn/ted/nanjira_sambuli_what_ancestral_intelligence_can_teach_us_about_ai): Nanjira Sambuli · TED
- [The future of digital communication and privacy](https://invisiblenetwork.ai/learn/ted/will_cathcart_the_future_of_digital_communication_and_privacy): Will Cathcart · TED
- [CS 61A - Spring 2006](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461112960): Brian Harvey · University of California, Berkeley (42 lectures)
- [What to do when you’re told there’s nothing left to try](https://invisiblenetwork.ai/learn/ted/david_fajgenbaum_and_kiah_williams_what_to_do_when_you_re_told_there_s_nothing_left_to_try): David Fajgenbaum and Kiah Williams · TED
- [The invisible infrastructure in the sky](https://invisiblenetwork.ai/learn/ted/adam_bry_the_invisible_infrastructure_in_the_sky): Adam Bry · TED
- [How to connect while apart](https://invisiblenetwork.ai/learn/ted/eric_yuan_how_to_connect_while_apart): Eric Yuan · TED
- [Can AI predict someone's breakup?](https://invisiblenetwork.ai/learn/ted/thomas_hofweber_can_ai_predict_someone_s_breakup): Thomas Hofweber · TED
- [CS 61A - Spring 2008](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461113546): Brian Harvey · University of California, Berkeley (44 lectures)
- [Save it to your desktop!](https://invisiblenetwork.ai/learn/ted/alan_resnick_save_it_to_your_desktop): Alan Resnick · TED
- [How Community Notes reduce viral misinformation](https://invisiblenetwork.ai/learn/ted/keith_coleman_and_jay_baxter_how_community_notes_reduce_viral_misinformation): Keith Coleman and Jay Baxter · TED
- [Defining cyberwarfare... in hopes of preventing it](https://invisiblenetwork.ai/learn/ted/daniel_garrie_defining_cyberwarfare_in_hopes_of_preventing_it): Daniel Garrie · TED
- [CS 61A - Fall 2007](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461112941): Brian Harvey · University of California, Berkeley (43 lectures)
- [Computer Science 61A - Spring 2015](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_961798111): John S. Denero · University of California, Berkeley (38 lectures)

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