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When urban development takes place, a traffic impact assessment is often needed before a project is approved: What will happen to auto traffic if a new apartment building or business complex is constructed, or if a road is widened? On the other hand, new developments affect foot traffic as well — and yet few places study the effects of urban change on pedestrians.

A group of MIT researchers wants to alter that, by developing a model of pedestrian activity that planners and city officials can use in much the same way officials evaluate vehicle traffic. A study they have conducted of Melbourne, Australia, shows that the model works well when tested against some of the most comprehensive pedestrian data available in the world.

“Our model can predict changes in pedestrian volume resulting from changes in the built environment and the spatial distribution of population, jobs, and business establishments,” says Andres Sevtsuk, an associate professor in MIT’s Department of Urban Studies and Planning (DUSP) and lead author of a newly published paper detailing the results. “This provides a framework to understand how new developments can affect pedestrian flows on city streets.”

Turning plastic waste into roads.


Presented by BASF

A company in Nairobi wants to install bricks made from plastic trash across Kenya’s capital. Could they become a solution for a country where 90% of roads have never been paved? And are roads made from plastic really a good idea?

MORE WORLD WIDE WASTE VIDEOS:
How Electric Car Batteries Are Recycled | World Wide Waste.


One of the Dirtiest Jobs In San Francisco Dealing With Food Waste | World Wide Waste.

Do Shampoo Bars Really Reduce Trash? | World Wide Waste.

#Plastic #Kenya #BusinessInsider.

Designing a society that can adapt to the rise of artificial intelligence and allow everyone to thrive as these changes unfold is likely to be one of our most significant challenges in the coming years and decades. It will require an emphasis on retraining and education for those workers who can realistically undertake the necessary transition, as well as an improved safety net – and perhaps an entirely new social contract – for those who will inevitably be left behind.


From fast food to farming, Covid-19 has accelerated the rise of the worker robots. This in turn will put more jobs at risk and makes the need to reframe society ever more urgent.

Michigan will become the first state in America to deploy inductive vehicle charging technology in roads, in an effort to accelerate the adoption of electric vehicles (EVs).

Governor of Michigan, Gretchen Whitmer, made the announcement during the opening ceremony of the Motor Bella auto show on Tuesday. The Inductive Vehicle Charging Pilot is a partnership between Michigan’s Department of Transportation (MDOT) and the Office of Future Mobility and Electrification (OFME). It will deploy an electrified roadway system allowing electric cars, buses, shuttles and other vehicles to charge while driving, allowing them to operate continuously without stopping to charge. This will address range anxiety, while turning public roads into safe, sustainable, shared energy platforms.

“Michigan was home to the first mile of paved road, and now we’re paving the way for the roads of tomorrow with innovative infrastructure that will support the economy and the environment, helping us achieve our goal of carbon neutrality by 2050,” said Governor Whitmer. “This project reinforces my commitment to accelerating the deployment of electric vehicle infrastructure in Michigan and will create new opportunities for businesses and high-tech jobs amidst the transition to electric vehicles.”

Aggregate of labor displacement from AI-spoiler-literally EVERYTHING.


OECD experts have calculated the probability a job will be automated, on the basis of how feasible it is for technology to perform the tasks that comprise that job.

Jobs are grouped into occupation categories according to the ISCO-08 standard. The mean probability of automation of each occupational category is displayed, along with an example of a typical job in that category.

This is very broad: the automatability of jobs within each occupation category can vary widely. Also, the tasks that make up each job can vary from country to country, but the mean probabilities displayed are from across OECD countries.

Nedelkoska, L. and G. Quintini (2018), “Automation, skills use and training”, OECD Social, Employment and Migration Working Papers, No. 202 OECD Publishing, Paris.

Automation will drag on at the normal pace. 2025 i think will be the key year, where Human Level hands could turn up on the humanoid robots, and an early phase of Human Level AI turns up; if those 2 things happen automation of jobs will really start to move fast.


Ask for a roast beef sandwich at an Arby’s drive-thru east of Los Angeles and you may be talking to Tori — an artificially intelligent voice assistant that will take your order and send it to the line cooks.

“It doesn’t call sick,” says Amir Siddiqi, whose family installed the AI voice at its Arby’s franchise this year in Ontario, California. “It doesn’t get corona. And the reliability of it is great.”

The pandemic didn’t just threaten Americans’ health when it slammed the U.S. in 2020 — it may also have posed a long-term threat to many of their jobs. Faced with worker shortages and higher labor costs, companies are starting to automate service sector jobs that economists once considered safe, assuming that machines couldn’t easily provide the human contact they believed customers would demand.

It’s not just salespeople, traders, compliance professionals and people formatting pitchbooks who risk losing their banking jobs to technology. It turns out that private equity professionals do too. A new study by a professor at one of France’s top finance universities explains how.

Professor Thomas Åstebro at Paris-based HEC says private equity firms are using artificial intelligence (AI) to push the limits of human cognition and to support decision-making. Åstebro says t he sorts of people employed by private equity funds is changing as a result.

Åstebro looked at the use of AI systems across various private equity and venture capital firms. He found that funds that have embraced AI are using decision support systems (DSS) across the investment decision-making process, including to source potential targets for investments before rivals.