In his Slow Design for an Anxious World presentation at An Event Apart in Denver, Jeffrey Zeldman espoused the benefits of design that aims to increase comprehension and intentional use. Here's my notes from his talk:

• We live in fast times and care a lot about making things faster for people. In this world, "slow" is often associated with friction. But some things are better slow.
• Fast is best for transactional customer-service designs. We optimize our checkout flows for efficiency and our code for performance. Likewise, service-oriented content must be designed for speed of relevancy. Getting to content like driving directions, return policies, and more should be quick and easy for customers.
• Slow is best for comprehension. Reading slowly helps us understand more of what we read and even transactional sites have some content that we want people to understand more deeply.
• There's lots of resources for site optimization but few for slowing people down so they appreciate and understand our content.
• Legibility means you can read what's on the page. Readability is where the art comes in. You don't need to be a graphic designer to improve readability. When focusing on readability you're focusing on absorption not conversion.
• Improving readability means putting the focus on content and removing distractions. The service Readability optimized Web pages for this by removing ads, third party widgets, and more.
• Considering different reading modes like in bed, at breakfast, on your lap, etc. can trigger ideas for layout and type for sites. For example, big fonts can help you lean back and take in content vs. leaning in and squinting.
• Big type used to be a controversial design choice on the Web but now has been adopted by a number of sites like Medium, Pro Publica, and the New Yorker.
• To be readable: use big type (16px should be your smallest size); use effective hierarchy for type; remove all extraneous elements in your layout; art direction helps you call attention to important content; make effective use of whitespace.
• Art direction can bring unique emotion and resonance to articles online. In a world of templates and scalability, distinct art direction can help people take notice of intentional high value content.
• Macro-whitespace is the bigger columns and padding around content we often associate with high-end luxury brands. Micro-whitespace is the space in between letter forms and between the lines of type. Consider both in your designs
• Ensure your content is branded so it stands out. When all content looks like the same it all appears to have equal value. Have a brand that sticks out to be more trusted.
• With all these techniques we're trying to get people to lean back and have a good "readable" experience on the Web.

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.

A group of Indian Ocean islanders, forcibly removed from their homes 50+ years ago and deported to England, are still fighting for recognition and basic rights. By Alexi Demetriadi.

It’s against the Constitution, and means Norway will not respect the Paris Agreement, argues Tina Andersen Vågenes.

A gesture of love and solidarity from estates and communities in East London to Grenfell and their local community.

He puts his life on the line to protect the Democratic Republic of Congo's national parks.

We talked to homeless in different countries and they revealed housing insecurity's different causes around the world.

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.

World food prices have been rising since 2000, but this sped up slightly in 2007, then sharply in early 2008. High prices have hit the urban poor especially hard, and led to food shortages, riots and demonstrations worldwide. IRRI is part of the Consultative Group on International Agricultural Research, a network of international agricultural research institutes started in the 1960s.

Adani Ports arm has raised Rs 125 crore today by allotment of 1,250 rated, listed, secured, redeemable, non-convertible debentures (NCDs) of the face value of Rs 10,00,000 each

Revenue from operations stood at Rs 15,711 crore, up 4.69 per cent against Rs 15,006.3 crore in the corresponding quarter of the previous fiscal.

Among large banks, the brokerage sees ICICI Bank's PAT declining 49 per cent QoQ to Rs 2,100 crore in Q4FY20, followed by a 68 per cent sequential decline in Axis Bank's PAT at Rs 564.6 crore.

Company abstains from giving annual revenue projections owing to COVID-19 uncertainties, appoints new board member

The company's total income fell to Rs 6,327.57 crore in the quarter from Rs 8,077.89 crore in the year-ago period

The Pune-headquartered company reported Rs 804 crore in consolidated net profit for the March quarter (Q4FY20), a decline of 29.1 per cent on year-on-year (YoY) basis

Lower expenses drive profit number; firm had incurred a loss in the same period a year ago

Earnings before interest and taxes (EBIT) stood at Rs 3,881 crore while EBIT margin came in at 20.9 per cent.

See the two ways to add a sticky horizontal menu to your site, plus 7 beautiful examples of this pattern out in the wild.

This image slideshow adds an awesome Ken Burns effect that brings each image to life during transition

See the best, most relevant frontend courses online to take to succeed as a frontend developer in 2019 and beyond.

What drove this Southern Baptist missionary to spend more than 35 years in healthcare in India.

Community science brings a DIY sensibility to a range of research areas, providing a collegial atmosphere of collaboration and support.

Moving on with your career may entail moving to another country. Here’s a checklist to survive and thrive.

GlaxoSmithKline (GSK) is creating a data-focused culture and a global machine-learning team.

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Stino Da Napoli, a Rocky River, Ohio establishment, is recalling approximately 11,392 pounds of various meat products that were produced, packed and distributed without the benefit of federal inspection.

TV Food LLC., a San Leandro, Calif. non-federally inspected establishment, is recalling approximately 27,956 pounds of Siluriformes, specifically Yellow Hito (catfish), products because the products were not presented for import re-inspection into the United States.

Bellisio Foods, a Jackson, Ohio establishment, is recalling approximately 173,376 pounds of frozen pork entrée products that may be contaminated with extraneous materials, specifically pieces of glass or hard plastic.

Tyson Foods, Inc., a Rogers, Ark. establishment, is recalling approximately 69,093 pounds of frozen, ready-to-eat chicken strip products that may be contaminated with extraneous materials, specifically pieces of metal.

Yoakum Packing Co., a Yoakum, Texas establishment, is recalling approximately 12,388 pounds of smoked venison sausage that contains pork products that were not represented on the label.

Tyson Foods, Inc., a Rogers, Ark. establishment, is recalling approximately 11,829,517 pounds of frozen, ready-to-eat chicken strip products that may be contaminated with extraneous materials, specifically pieces of metal.

Conagra Brands, Inc., a Russellville, Ark. establishment, is recalling approximately 2,094,186 pounds of frozen entrees due to misbranding and an undeclared allergen.

BEF Foods, Inc., a Lima, Ohio establishment, is recalling approximately 527 pounds of beef pasta products that were produced without the benefit of federal inspection and outside of inspection hours.