Software firm VMware will start cutting pay for employees who leave Silicon Valley, according to a recent Bloomberg report.
While employees can work remotely on a permanent basis, they could face an 18% pay cut for moving to a city like Denver, Bloomberg reports.
VMware isn’t the only company reconsidering employee pay. Facebook will start adjusting salaries in January based on where employees live, according to The New York Times.
Twitter has had a pay localization policy in place for years as part of a broader push to decentralize its workforce.
With the pandemic in full-force all around the United States, there’s been a massive shift not only in where we work but in how we work.
While it’s true that remote work is challenging and there is a new reality for most, some employment categories will likely see an upswing in terms of greater needs, more positions available, and even higher pay.
These jobs will be in particularly high demand over the next few weeks and months.
It may not be long before you’ll have to forget about walking down the street anonymously, says a New York Times report.
“Just a face in the crowd.” That figure of speech may one day need a footnote to explain it.
What if a stranger could snap your picture on the sidewalk then use an app to quickly discover your name, address and other details? A startup called Clearview AI has made that possible, and its app is currently being used by hundreds of law enforcement agencies in the US, including the FBI, says a Saturday report in The New York Times.
The app, says the Times, works by comparing a photo to a database of more than 3 billion pictures that Clearview says it’s scraped off Facebook, Venmo, YouTube and other sites. It then serves up matches, along with links to the sites where those database photos originally appeared. A name might easily be unearthed, and from there other info could be dug up online.
Business-software giant Salesforce instituted a new policy barring retail customers from using its technology to sell semiautomatic weapons and some other firearms.
SAN FRANCISCO — On its website, Salesforce.com touts retailer Camping World as a leading customer of its business software, highlighting its use of products to help sales staff move product. A Camping World executive is even quoted calling Salesforce’s software “magic.”
But behind the scenes in recent weeks, the Silicon Valley tech giant has delivered a different message to gun-selling retailers such as Camping World: Stop selling military-style rifles, or stop using our software.
The pressure Salesforce is exerting on those retailers — barring them from using its technology to market products, manage customer service operations and fulfill orders — puts them in a difficult position. Camping World, for example, spends more than $1 million a year on Salesforce’s e-commerce software, according to one analyst estimate. Switching to another provider now could cost the company double that to migrate data, reconfigure systems and retrain employees.
A system that uses a technique called constructive solid geometry (CSG) is allowing MIT researchers to deconstruct objects and turn them into 3D models, thereby allowing them to reverse-engineer complex things.
The system appeared in a paper entitled “InverseCSG: Automatic Conversion of 3D Models to CSG Trees” by Tao Du, Jeevana Priya Inala, Yewen Pu, Andrew Spielberg, Adriana Schulz, Daniela Rus, Armando Solar-Lezama, and Wojciech Matusik.
Christopher Savoie, founder and chief executive of a start-up called Zapata, offered jobs this year to three scientists who specialize in an increasingly important technology called quantum computing. They accepted.
Several months later, the Cambridge, Mass., company was still waiting for the State Department to approve visas for the specialists. All three are foreigners, born in Europe and Asia.
Whether the delays were the result of tougher immigration policy or just red tape, Mr. Savoie’s predicament was typical of a growing concern among American businesses and universities: Unless policies and priorities change, they will have trouble attracting the talent needed to build quantum technology, which could make today’s computers look like toys.
Researchers have developed a new software tool that predicts the boundaries of where landslides will occur two weeks before they happen.
Landslides—masses of rock, earth, or debris moving down a slope—happen everywhere. The effect on communities, the economy, and most importantly, lives, can be devastating. A recent landslide at a jade mine in Myanmar, for example, claimed at least 27 lives.
In open pit mines, landslides are particularly common. In 2013 a 20 meter towering wall of dirt and rocks, deep enough to bury New York City’s Central Park, came crashing down when Bingham Canyon, one of the largest copper producing mines in the United States, gave way. Astonishingly no one was hurt, thanks to advance warnings.
The alleged lack of available talent for blockchain industry jobs was high on the agenda at the DTCC’s Fintech Symposium, held at the Grand Hyatt in New York City yesterday.
There, executives from a wide range of companies took turns addressing an audience of several hundred financial industry executives to express their concern about what they believe is a problem preventing wider growth and use of the technology.
OUT of the way, human, I’ve got this covered. A machine learning system has gained the ability to write its own code.
Created by researchers at Microsoft and the University of Cambridge, the system, called DeepCoder, solved basic challenges of the kind set by programming competitions. This kind of approach could make it much easier for people to build simple programs without knowing how to write code.
When Donald Trump won the election, many in Silicon Valley were flummoxed: “How could a bigoted billionaire with no government experience and a twitchy Twitter trigger finger win the U.S. presidential election?” they asked themselves.
It’s not something most people in my life know about. My friends, acquaintances, the parents of kids on my son’s soccer team that I coach — none of them know.
