Imagine. Believe Belong. #CERN is hiring newly qualified technicians (up to 4 years’ experience) in a wide variety of domains to work on exciting projects! Join the CERN Technician Training Experience: https://cern.ch/tte #iworkatcern #technicians #jobs N.
Find Great Talent with Career Pages. | powered by SmartRecruiters.
Almost everyone who has thought seriously about this has said that more automation is likely to lead to more inequality.
The robots. They’re coming for your jobs. All of you.
Long the prediction of futurists and philosophers, the lived reality of technology replacing human work has been a constant feature since the cotton gin, the assembly line and, more recently, the computer.
What is very much up for debate in the imaginations of economists and Hollywood producers is whether the future will look like “The Terminator,” with self-aware Schwarzenegger bots on the hunt, or “The Jetsons,” with obedient robo-maids leaving us humans very little work and plenty of time for leisure and family. The most chilling future in film may be that in Disney’s “Wall-E,” where people are all too fat to stand, too busy staring at screens to talk to each other and too distracted to realize that the machines have taken over.
UNICEF is looking for startups applying #datascience, #machinelearning, #blockchain or #XR to prepare young people for the jobs of tomorrow.
The UNICEF Innovation Fund is looking to make up to 100K equity-free investments to provide early stage (seed) finance to for-profit technology start-ups that have the potential to benefit humanity.
If you’ve got a start-up using machine learning (ML), artificial intelligence (AI), blockchain or extended reality, registered in one of UNICEF’s programme countries, and have a working, open source prototype (or you are willing to make it open-source) showing promising results, the UNICEF Innovation Fund is looking for you.
One day, who knows when, artificial intelligence could hollow out the job market. But for now, it is generating relatively low-paying jobs. The market for data labeling passed $500 million in 2018 and it will reach $1.2 billion by 2023, according to the research firm Cognilytica. This kind of work, the study showed, accounted for 80% of the time spent building AI technology.
Is the work exploitative? It depends on where you live and what you’re working on. In India, it is a ticket to the middle class. In New Orleans, it’s a decent enough job. For someone working as an independent contractor, it is often a dead end.
There are skills that must be learned — like spotting signs of a disease in a video or medical scan or keeping a steady hand when drawing a digital lasso around the image of a car or a tree. In some cases, when the task involves medical videos, pornography or violent images, the work turns grisly.
Nevertheless, to date, most of the wealth generated by advances in A.I. and robotics has been acquired by the executives of technology companies. It’s time for the benefits of the A.I. revolution to be broadly distributed through an expanded social safety net.
Unfortunately, members of Congress are taking the opposite path and have proposed cuts to a range of social programs. Several hundred thousand people arrived in Washington on Saturday to protest these cuts. During the demonstration, masked agitators threw rocks at the autonomous drones deployed for crowd control; in response, drones dispensed pepper spray on the protesters below, causing a stampede. More than 20 people were injured and treated at local hospitals; one protester died of his injuries on Monday. The police detained 35 people at the scene; 25 more arrests have been made since then, after authorities used facial recognition technology to identify protesters from surveillance video.
Punishing the poor who were harmed by economic disruptions has been a mistake repeated throughout American history. During the Industrial Revolution, machines displaced many artisans and agricultural workers. To deter these unemployed workers from seeking public relief, local governments set up poorhouses that required residents to perform hard labor. And between 1990 and 2020, the federal government — and some state governments — repeatedly cut social program spending even as middle-class jobs disappeared as a result of outsourcing and automation. Workers who didn’t have the skills to thrive in the knowledge economy were resigned to join the underclass of service workers.
Lex Fridman, a Postdoctoral Associate at the MIT AgeLab, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality and other issues.
Lex Fridman, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality.
Once a booming industry that offered dream jobs to China’s young talents, China’s tech sector is now waking up to the sobering reality. Experts say it is time to focus on profitability, rather than the wild expansion of previous years, as China’s economic growth slows and the trade war with the United States hits sentiment and investment.
Eleven million people had renewable energy jobs in 2018, according to the latest analysis from IRENA. New data shows that the diversification of the renewable energy supply chain is changing the sector’s geographic footprint, and more countries are tapping into the socio-economic gains of the energy transition. https://bit.ly/2XFScWF
A new project announced last week will start helping close the gap, though. The New Jersey Board of Public Utilities (NJBPU) chose Ørsted of Denmark to build a 1.1 gigawatt wind farm off the coast of Atlantic City. Dubbed (somewhat un-originally) Ocean Wind, the farm will be the biggest of its kind in the US and is estimated to be done by 2024. For comparison, the only wind farm currently operating in the US, off the coast of Rhode Island, has a paltry 30-megawatt production capacity.
Ocean Wind’s 1.1 gigawatts of energy will be enough to power about 500,000 homes. The project is slated to create 15,000 new jobs and generate up to $1.2 billion in additional economic benefits.
As of May of this year, there were 15 proposals in the works for new offshore wind farms along the US east coast (and that doesn’t include projects in California, Hawaii, South Carolina, and New York).