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Barker Library - QH581.2.E78 2019

Dewey Library - QH331.F35 2019

Dewey Library - QH507.L47 2019

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Hayden Library - QH447.B44 2018

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Hayden Library - QH457.5.B54 2018

Hayden Library - QH455.D47 2018

In his The New Design Material presentation at An Event Apart in Denver, Josh Clark outlined how designers can integrate Machine Learning and other new technologies into their product designs. Here's my notes from his talk:

• Designers and front-end developers have a role to play in Machine Learning and new technologies overall. But how?
• Sometimes we get fascinated with the making of the product instead of enabling the service of the product (the end user experience). We sometimes care more about using the latest frameworks or technologies than making meaningful experiences.
• The last decade of digital design was shaped by mobile, the next one is already being shaped by machine learning. Machine learning is our new design material, how can/should it be used?
• When you encounter a new design material, ask: what can it do? how does it change us (both makers and society)?
• How can machine learning help us? If we could detect patterns in anything, how can we act on them? Recommendation (ranking results that match a context); Prediction (most likely result); Classification (grouping items into defined categorization); Clustering (discover patterns/categories based on item attributes); Generation (machines can make something).
• Get comfortable with casual (almost mundane uses of machine learning) uses of machine learning. We can add a little intelligence to many of our products using these techniques.
• While there are some early attempts at using machine learning to create Web designers, machines are really best at time-consuming, repetitive, detail-oriented, error-prone, and joyless tasks.
• How can we let people do what they do best and let machines do what they do best. How do we amplify our potential with machines vs. trying to replace things that we can do? Machines can help us focus our time and judgement on what matters (via pattern matching and clustering).
• What can machine learning amplify for us: be smarter with questions we already ask; ask entirely new kinds of questions; unlock new sources of data; surface invisible patterns.
• The job of user experience designers and researchers is to point machine learning at problems worth solving.

Characteristics of Machine Learning

• Machine learning is a different kind of design material. It has different characteristics we can learn.
• Machines try to find patterns in what we do but we're unpredictable and do weird things, so sometimes the patterns machines find are weird. Yet these results can uncover new connections that would otherwise be invisible.
• We need to design for failure and uncertainty because machine learning can find strange and sometimes incorrect results. This is different than designing for the happy path (typical design work), instead we need to design for uncertainty and cushion mistakes by setting the right expectations. Match language and manner to system ability.
• It's better to be vague and correct than specific and incorrect. Machines focus on narrow domains and don't understand the complete world. It's not real intelligence but scaled "interns" or "infinite tem year olds".
• Narrow problems don't have to be small problems. We can go deep on specific medical issue identification or identify patterns in climate change.
• We don't always understand how machine learning works, the systems are opaque. To help people understand what signals are being used we can give people some feedback on what signals inform recommendations or clustering.
• Because the logic is opaque, we need to signal our intention. Designers can help with adding clarity to our product designs. Make transparency a design principle.
• Machine learning is probabilistic. Everything is a probability of correctness, not definitive. We can surface some of these confidence intervals to our end users. "I don't know" is better than a wrong answer.
• Present information as signals, not as absolutes. Point people in a good direction so they can then apply their agency and insights to interesting insights.
• What do we want form these systems? What does it require from us? Software has values embedded in it (from its makers). We don't want to be self-driven by technology, we want to make use of technology to amplify human potential.
• We're inventing the future together. We need to do so intentionally.

Power rests in the hands of a corrupt military and political oligarchy that denies people the right to self-determination, reports Hamza Hamouchene.

The guerrillas are handing weapons over to the UN, but they are in fear. Thomas Mortensen reports from Urabá.

A source of corruption and environmental degradation. Rod Harbinson reports.

In today's world if the diamond is over one carat in size it will usually come with a certificate from the laboratory specifying the inclusions, color and size. The carat itself is made of one hundred particular parts called points. While it is possible to estimate the weight of a mounted diamond, the lab uses ultrasensitive scales to achieve an exact weight, measured 3 decimal places, although the third decimal place is not usually mentioned at the retail level.

And she has blamed the 'growing Indian and Chinese appetite in contributing to the global food crisis'. The US Secretary of State is technically correct since both the countries dominate the world food consumption. But analysts feel she is morally and socially wrong.

Last year, India's food consumption increased almost 5 per cent considering that it had 7 plus GDP growth. India consumes more edible oil than any other country in the world. Most of the staple diet of many countries are soybeans, maize, rice, wheat etc. Many readers have complained that Rice's statement was taken out of context to sensationalize. Here is what happened.

Speaking to reporters in Madrid, he said ''The pressure is to suspend a few more food articles, If rightly or wrongly people perceive that commodities- futures trading is contributing to a speculation-driven rise in prices, then in a democracy you will have to heed that voice''.

London ; New York : Bloomsbury Academic, 2018

Toronto ; Vancouver : Canadian Scholars, 2019.

New Brunswick : Rutgers University Press, [2019]

London : Routledge, 2017.

Dordrecht : Springer, 2006

Milano : Springer, [2007]

New York : Springer, [2007]

Dordrecht ; Boston : Kluwer Academic Publishers, [1996]

Johnston County Hams, a Smithfield, N.C. establishment, is recalling approximately 89,096 pounds of ready-to-eat ham products that may be adulterated with Listeria monocytogenes.

New Haven : Yale University Press, [2016]

Albany : State University of New York Press, [2016]

Barcelona : Editorial Anagrama, 2015-2017.

Barcelona : Tusquets Editores, 2019.

[U.S.A.] : Warner Home Video, [2013]

Scotland : Stupor Mundi, 2018.

Ferran Adria on why the knife is the most essential tool in your kitchen.