New York Attorney General sues Weinstein and Co
NEW YORK: New York Attorney General Eric T Schneiderman has filed a lawsuit against disgraced movie mogul Harvey Weinstein, his brother Bob, and their production house on their alleged failure to uphold the state and city laws against gender discrimination and sexual harassment.
The lawsuit comes four months after the producer was accused of sexual harassment, including rape, over a span of three decades, by multiple women such as actors Ashley Judd, Angelina Jolie, Gwyneth Paltrow, Lea Seydoux, Salma Hayek and Uma Thurman, among others.
The case has been filed electronically in Manhattan's State Supreme Court and the timing is expected to cause a delay in the sale of The Weinstein Company (TWC), which is facing bankruptcy, the New York Times reported.
Any sale of the Weinstein Company must ensure that victims will be compensated, employees will be protected going forward, and that neither perpetrators nor enablers will be unjustly enriched, Schneiderman said in a news release.
The deal was said to be finalised on Sunday.
The company was on the verge of selling itself to an investor group for approximately USD 275 million, plus the assumption of USD 225 million in debt, according to two people in the know of the deal who spoke on condition of anonymity. The investor group, led by Maria Contreras-sweet, best known for handling the Small Business Administration under former U S President Barack Obama, has publicly said it would create a multimillion dollar settlement fund for women who have accused Weinstein of abuse. BOSTON: MIT scientists have developed a new system that can allow drones to autonomously navigate through dense environments such as cities, forests and warehouses.
Being able to avoid obstacles while travelling at high speeds is computationally complex, especially for small drones that are limited in how much they can carry onboard for real-time processing.
Many existing approaches rely on intricate maps that aim to tell drones exactly where they are relative to obstacles, which is not particularly practical in real-world settings with unpredictable objects.
If their estimated location is off by even just a small margin, they can easily crash.
Scientists from Massachusetts Institute of Technology (MIT) in the US developed a system called Nanomap that allows drones to consistently fly 30 kilometres per hour through dense environments.
The system considers the drone s position in the world over time to be uncertain, and accounts for that uncertainty.
"Overly confident maps won't help you if you want drones that can operate at higher speeds in human environments, said Pete Florence, graduate student at MIT.
An approach that is better aware of uncertainty gets us a much higher level of reliability in terms of being able to fly in close quarters and avoid obstacles, said Florence.
Nanomap uses a depthsensing system to stitch together a series of measurements about the drone s immediate surroundings.
This allows it to not only make motion plans for its current field of view, but also anticipate how it should move around in the hidden fields of view that it has already seen.
It's kind of like saving all of the images you've seen of the world as a big tape in your head, said Florence.
For the drone to plan motions, it essentially goes back into time to think individually of all the different places that it was in, he said.
The team's tests demonstrate the impact of uncertainty. For example, if Nanomap was not modelling uncertainty and the drone drifted just per cent per cent away from where it was expected to be, the drone would crash more than once every four flights. Meanwhile, when it accounted for uncertainty, the crash rate reduced to two per cent.