Tag Archives: Technology

How to Avoid a Tech Counterrevolution

By Leonid Bershidsky – It’s easy to laugh at a juice squeezer produced by a relatively small startup, whose real competence is in making fancy fruit-and-vegetable packets. It’s not really problem-solving tech; it’s a money-raising gimmick.

The problem is deeper though. Musk, a slicker marketer than Zuckerberg, talks about initially releasing a technology that would help people with brain damage — from strokes, for example.

Facebook is talking about “sharing thoughts,” hitting precisely on the most worrying aspects of the nascent technology: Who wants to share uncensored thoughts, especially with a company that collects information about its users without explaining to them exactly what is harvested? Who wants to give a machine built by a corporate entity access to one’s brain?

Tasks that desperately need automation and tech solutions are narrow. Thinking smaller and applying resources and energy to narrow, specific problems could be a good chance to build trust before it disappears entirely. more> https://goo.gl/MEm63N

Raising good robots

We already have a way to teach morals to alien intelligences: it’s called parenting. Can we apply the same methods to robots?
By Regina Rini – Philosophers and computer scientists alike tend to focus on the difficulty of implementing subtle human morality in literal-minded machines. But there’s another problem, one that really ought to come first. It’s the question of whether we ought to try to impose our own morality on intelligent machines at all. In fact, I’d argue that doing so is likely to be counterproductive, and even unethical. The real problem of robot morality is not the robots, but us.

Can we handle sharing the world with a new type of moral creature?

We like to imagine that artificial intelligence (AI) will be similar to humans, because we are the only advanced intelligence we know. But we are probably wrong. If and when AI appears, it will probably be quite unlike us. It might not reason the way we do, and we could have difficulty understanding its choices.

Plato’s student Aristotle disagreed. He thought that each sort of thing in the world – squirrels, musical instruments, humans – has a distinct nature, and the best way for each thing to be is a reflection of its own particular nature.

‘Morality’ is a way of describing the best way for humans to be, and it grows out of our human nature. For Aristotle, unlike Plato, morality is something about us, not something outside us to which we must conform. Moral education, then, was about training children to develop abilities already in their nature. more> https://goo.gl/cVSt0W


Updates from Adobe

Take 10: Zesty
By Terri Stone – As with our previous Take 10 Challenges, we gave the duo ten images and a theme—in this case, the word zesty. True to form, Leta Sobierajski and Wade Jeffree rewrote the challenge rules, rejecting some of the original images and choosing others. “Questioning the brief is always going to lead you to more interesting places,” Jeffree says.

They began the challenge by contemplating the meaning of zesty. “It speaks to energy and food, and we eat a lot and have a lot of energy,” cracks Jeffree. Sobierajski adds, “It resonates with our personalities. It’s a little zingy.”

The designers usually include physical elements in their work, even when the final deliverables are digital. It was clear from their initial sketch that the Take 10 challenge would be no exception.

Sobierajski and Jeffree envisioned a dimensional abstract landscape, taking structural inspiration from Joan Miró, Pablo Picasso, Henry Moore, Barbara Hepworth, and Oskar Schlemmer, and working with ideas of Cubism, Dada, Bauhaus, and modernism. They identified new Adobe Stock assets that fit their notions of what zesty means; then they moved on to building the abstract shapes out of thick foam core covered in clay. They also designed suits that would render their bodies as abstract as the set. more> https://goo.gl/xPDk95


Updates from GE

I Machine, You Human: How AI Is Helping GE Build A Powerhouse Of Knowledge
By Tomas Kellner – Every fall, GE Global Research holds a scientific gathering called the Whitney Symposium highlighting the latest scientific trends. Last year the two-day event explored industrial applications of artificial intelligence. We sat down with Mark Grabb and Achalesh Pandey, two GE scientists looking for ways to apply AI to jet engines, medical scanners and other machines.

“We are starting to see significant performance increases from the combination of deep learning and reinforcement learning, where you have a human in the loop correcting the system,” Grabb said. “Once you build a smooth user experience and get the system going, people don’t even know they are correcting the AI along the way.”

At GE, we are writing software like Predix, which is the cloud-based operating system for machines that allows us to connect them to the Industrial Internet. But we also have a tremendous number of domain experts. There’s a lot of physics and domain knowledge that’s required to build good analytics and machine learning models. We have actually built AI systems that help data scientists more quickly and more effectively capture the domain knowledge across all the people inside GE building these models. So AI comes in even in the developing of analytics. more> https://goo.gl/OMZ9TS

Now it’s time to prepare for the Machinocene


Expressivism, Pragmatism and Representationalism, Author: Huw Price.

By Huw Price – One way or another, then, we are going to be sharing the planet with a lot of non-biological intelligence. Whatever it brings, we humans face this future together. We have an obvious common interest in getting it right. And we need to nail it the first time round. Barring some calamity that ends our technological civilization without entirely finishing us off, we’re not going to be coming this way again.

If we are to develop machines that think, ensuring that they are safe and beneficial is one of the great intellectual and practical challenges of this century. And we must face it together – the issue is far too large and crucial to be tackled by any individual institution, corporation or nation. Our grandchildren, or their grandchildren, are likely to be living in a different era, perhaps more Machinocene than Anthropocene.

Our task is to make the best of this epochal transition, for them and the generations to follow. We need the best of human intelligence to make the best of artificial intelligence. more> https://goo.gl/dHx4jd

The Spiritual, Reductionist Consciousness of Christof Koch

By Steve Paulson – Consciousness is a buzzing business in neuroscience labs and brain institutes. But it wasn’t always this way. Just a few decades ago, consciousness barely registered as a credible subject for science.

Why were humans able to create civilizations that have transformed the planet?

We don’t have a precise answer. We have big brains and are, by some measure, the most intelligent species, at least in the short term. We’ll see whether we’ll actually survive in the long term, given our propensity for mass violence. And we’ve manipulated the planet to such an extent that we are now talking about entering a new geological age, the Anthropocene.

But it’s unclear why whales or dolphins—some of which have bigger brains and more neurons in their cortex than we do—why they are not called smarter or more successful. Maybe because they have flippers and live in the ocean, which is a relatively static environment. With flippers, you’re unable to build sophisticated tools.

Of course, human civilization is all about tools, whether it’s a little stone, an arrow, a bomb, or a computer. more> https://goo.gl/bmNgK6


Turning Back Time: Watching Rust Transform into Iron

By W. Zhu, J.P. Winterstein, W.D. Yang, L. Yuan, R. Sharma and G. Zhou – Using a state-of-the-art microscopy technique, experimenters at the National Institute of Standards and Technology (NIST) and their colleagues have witnessed a slow-motion, atomic-scale transformation of rust—iron oxide—back to pure iron metal, in all of its chemical steps.

In a new effort to study the microscopic details of metal oxide reduction, researchers used a specially adapted transmission electron microscope (TEM) at NIST’s NanoLab facility to document the step-by-step transformation of nanocrystals of the iron oxide hematite (Fe2O3) to the iron oxide magnetite (Fe3O4), and finally to iron metal.

By lowering the temperature of the reaction and decreasing the pressure of the hydrogen gas that acted as the reducing agent, the scientists slowed down the reduction process so that it could be captured with an environmental TEM—a specially configured TEM that can study both solids and gas. The instrument enables researchers to perform atomic-resolution imaging of a sample under real-life conditions—in this case the gaseous environment necessary for iron oxides to undergo reduction–rather than under the vacuum needed in ordinary TEMs. more> https://goo.gl/8lJIAH

If US trade with China is so unfair, why is GM the best-selling car there?

By Tim Fernholz – While the US taxes imported cars and cars parts at a maximum of 2.5%, China charges tariffs of between 21% and 30%. This gives foreign automakers who want to sell in China a big incentive to manufacture there to avoid the import charge. But China also requires foreign subsidiaries to operate as 50-50 joint ventures with Chinese companies. These, of course, then become classrooms for Chinese engineers to gain foreign know-how.

This isn’t exactly anyone’s definition of “fair” trade, but there is a logic to the situation. The system came into play in 2001, after China joined the World Trade Organization. At the time, Chinese industry was much further behind America’s. The idea was that future rounds of WTO negotiations would lower China’s trade barriers further, but global trade talks have stagnated completely.

Ironically enough, therefore, this “unfair” situation for America is a product of globalization’s stumbles, not the unyielding march forward that the Trump administration portrays it as.

And any attempts to convince China to drop its protections will now be coming from the most protectionist American administration in recent memory. more> https://goo.gl/7Supvh

3 Ways Exponential Technologies are Impacting the Future of Learning

By Sveta McShane – Exponential technologies have a tendency to move from a deceptively slow pace of development to a disruptively fast pace. We often disregard or don’t notice technologies in the deceptive growth phase, until they begin changing the way we live and do business. Driven by information technologies, products and services become digitized, dematerialized, demonetized and/or democratized and enter a phase of exponential growth.

In the past three decades, jobs requiring routine manual or routine cognitive skills have declined as a percent of the labor market. On the other hand, jobs requiring solving unstructured problems, communication, and non-routine manual work have grown.

The best chance of preparing young people for decent paying jobs in the decades ahead is helping them develop the skills to solve these kinds of complex tasks. more> https://goo.gl/UemBt9

Updates from Boeing

787-10 Dreamliner Makes Its First Flight
Boeing – The 787-10 Dreamliner is the newest and longest member of the super-efficient 787 family.

As a stretch of the 787-9, the 787-10 leverages the family’s proven technology, long range and preferred passenger experience, with unprecedented efficiency: 10 percent better fuel and emissions than the best on offer by the competition and 25 percent better than the airplanes it will replace. more> boeing.com/commercial/787-10