NOVA s New Vice President of Academic Affairs and Chief Academic Officer Unveils His Priorities for the College prweb.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prweb.com Daily Mail and Mail on Sunday newspapers.
Vietnamese on-demand e-commerce platform Loship raises $12M at a valuation of $100M
Loship, the Vietnamese on-demand e-commerce platform that started as a reviews app, announced today it has raised $12 million in pre-Series C funding, bringing its valuation to $100 million. The round was co-led by BAce Capital, an Ant Group-backed venture firm, and the direct investment unit of Sun Hung Kai & Co Limited.
Founded in 2017, Loship offered one-hour deliveries for a large range of products and services, including food, ride-hailing, medicine and B2B supplies. The company says it has more than 70,000 drivers and 200,000 merchants, and serves about 2 million customers in Hanoi, Ho Chi Minh City, Da Nang, Can Tho and Bien Hoa.
Salt Lake City companies offer incentives to attract new employees
and last updated 2021-07-27 19:45:31-04
SALT LAKE CITY â Several companies are offering up incentives to stay competitive in Utahâs job market.
The service industry has been hit particularly hard by staff shortages, just ask Hoang Nguyen. She is managing partner of the Sapa Investment Group which owns 6 restaurants and two bakeries.
âWe could hire for probably 25 positions tomorrow,â she said.
Despite offering cash signing bonuses, raising wages and creating an employee referral program, it is still a struggle to fill open positions, Nguyen said.
âWe have been doing restaurants in the valley for over 20 years now and this is the first time it has been this dire to find people to work,â she said.
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Northwestern University researchers have developed a new framework using machine learning that improves the accuracy of interatomic potentials the guiding rules describing how atoms interact in new materials design. The findings could lead to more accurate predictions of how new materials transfer heat, deform, and fail at the atomic scale.
Designing new nanomaterials is an important aspect of developing next-generation devices used in electronics, sensors, energy harvesting and storage, optical detectors, and structural materials. To design these materials, researchers create interatomic potentials through atomistic modeling, a computational approach that predicts how these materials behave by accounting for their properties at the smallest level. The process to establish materials interatomic potential called parameterization has required significant chemical and physical intuition, leading to less accurate prediction of new materials design.
New Framework Applies Machine Learning to Atomistic Modeling | News | Northwestern Engineering northwestern.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from northwestern.edu Daily Mail and Mail on Sunday newspapers.