Archive (Page 3 of 7)

We Need A New Image of Africa

To have the hunter tell it, Africa is full of meek sto­ries about des­per­a­tion and despair. So when artists like myself offer an alter­nate vision, often we’re asked to defend our imag­i­na­tion. Why do we feel we have the lux­u­ry to cre­ate? Shouldn’t we be deal­ing with more impor­tant issues like cor­rup­tion, or war, or AIDS, or poverty?

Invisible Images of Surveillance

One of the things I real­ly want out of art, what I see the job of the artist to be is to try to learn how to see the his­tor­i­cal moment that you find your­self liv­ing in. I mean that very sim­ply and I mean it very lit­er­al­ly. How do you see the world around you?

Discovering Health Innovations in Humanitarian Settings

During the war in Afghanistan, the mil­i­tary decid­ed to air drop food pack­ages as part of its win­ning hearts and minds cam­paign. Unfortunately, the food pack­ages were very sim­i­lar in appear­ance to the clus­ter bombs they were drop­ping at the same time. If mil­i­tary decision-makers had spo­ken to com­mu­ni­ties, aid work­ers, mil­i­tary per­son­nel on the ground, they’d have fig­ured out there were smarter ways to deliv­er food and win the trust of the Afghan people.

Harnessing Artificial Intelligence to Target Conservation Efforts

The smart­phone is the ulti­mate exam­ple of a uni­ver­sal com­put­er. Apps trans­form the phone into dif­fer­ent devices. Unfortunately, the com­pu­ta­tion­al rev­o­lu­tion has done lit­tle for the sus­tain­abil­i­ty of our Earth. Yet, sus­tain­abil­i­ty prob­lems are unique in scale and com­plex­i­ty, often involv­ing sig­nif­i­cant com­pu­ta­tion­al challenges.

Teaching a Machine How to Imagine

We can train com­put­ers to learn to rec­og­nize objects by giv­ing them mil­lions of exam­ples with the cor­rect answers. A human baby, on the oth­er hand, learns to rec­og­nize many con­cepts and objects all by them­self sim­ply by inter­act­ing with a few exam­ples in the real world.

Using Cryptography to Redefine Legal Contracts and Public Records

Can we have agree­ments or the mech­a­nisms for enforc­ing agree­ments between gov­ern­ments with­out hav­ing to appeal to the ambi­gu­i­ty of inter­na­tion­al law?

Language as a Signature of the Flexible Human Mind

To under­stand human nature, I focus on human lan­guage and what it can reveal about how we think. Unlike oth­er ani­mals, humans can com­mu­ni­cate an infi­nite num­ber of thoughts through lan­guage. And one rea­son that lan­guage is pow­er­ful is because we can use each of our words flex­i­bly, with sev­er­al dif­fer­ent meanings.

Applying Algorithms to Minimize Risk

The United States plants more than 170 mil­lion acres of corn and soy­beans a year, more than any coun­try in the world. And the pri­ma­ry mech­a­nism in the US that we use to sub­si­dize agri­cul­ture is actu­al­ly called the Federal Crop Insurance Program. So, the crop insur­ance pro­gram in the US is also the largest such pro­gram glob­al­ly, with over $100 bil­lion in lia­bil­i­ties annu­al­ly. So it’s a very big program.

Imaging the Health of Our Planet

The inter­est­ing thing is not just fig­ur­ing out what one plant needs, but doing it on the scale of a mil­lion plants. This is where imag­ing can help. Capturing the detail, but from a dis­tance. Some farm­ers already used drones or oth­er air­craft to do just that. But these are not tools avail­able to all. I want to ask what if pre­ci­sion agri­cul­ture could be a ser­vice acces­si­ble to any­one on the planet?

Mapping the Intricacies of Evolving Food Systems

In many coun­tries, the very abil­i­ty to eat a food like avo­ca­do is a direct ben­e­fit of inter­na­tion­al trade. We are eat­ing on an inter­con­nect­ed plan­et. Food trade now shapes land use world­wide and is reshap­ing the food sup­plies of many nations.