#EmploymentStandardsAct; #ESA; #EmploymentStandardsOfficers; #ESO; #LaurieScott
Ottawa, Mar 27 (Canadian-Media): An announcement was made this morning that Ontario is introducing a new digital self-audit tool to replace slow and cumbersome paper audits to facilitate employers to audit their compliance with the Employment Standards Act (ESA) and pay workers faster, median reports said.
"The digital self-audit tool gives job creators a simple, easy and convenient way to demonstrate they follow the rules," Laurie Scott, Ontario Minister of Labour said
Prior to today's announcement, ESA-related inspections involved Employment Standards Officers (ESO) visiting the business during peak hours, questioning the employer and auditing paper records.
2,348 paper audits of Ontario employers were conducted in 2018 the Ministry of Labour
From today onwards, the Ministry of Labour will be able to send an a link to an online portal ewho can then easily enter payroll information, submit their audit results and confirm compliance.
The digital self-audit tool will get unpaid wages into the hands of workers faster without claiming it, would saves time and money for Ontario's job creators and allows the Ministry of Labour to focus enforcement on the real offenders.
"I am committed to fair and competitive labour and employment regulation in Ontario. Our government is making Ontario Open for Business to create the jobs of today and tomorrow, while maintaining rules that keep Ontario workplaces safe and fair," said Scott.
The new solution has been rolled out to all ESOs across the province after it was successfully piloted in the Greater Toronto Area (GTA) this summer at companies with fewer than 25 employees.
#UniversityofToronto, #Ontario, #Canada, #MohamadAli-Dib, #NASA #algorithms, #lunarcraters, #Ari Silburt, #AI, #Artificialintelligence #NaturalSciencesandEngineeringResearchCouncilofCanada, #NSERC, #convolutionalneuralnetwork, #KristenMenou,
Toronto, Mar 14 (Canadian-Media): Researchers at the University of Toronto (U of T), Ontario have used a new technique based on the technology behind self-driving cars to measure the size and location of crater impacts on the moon, media reports said.
“When it comes to counting craters on the moon, it’s a pretty archaic method. Basically we need to manually look at an image, locate and count the craters and then calculate how large they are based off the size of the image. Here we’ve developed a technique from artificial intelligence that can automate this entire process that saves significant time and effort, ”Mohamad Ali-Dib, a postdoctoral researcher at the Centre for Planetary Sciences (CPS) at U of T Scarborough was reported to state.
Detailed view of the back side of moon in the vicinity of Crater No. 308 taken during the Apollo 11 mission (photo courtesy of NASA)
The research is currently under review in the journal Icarus and had which reportedly received funding from the Natural Sciences and Engineering Research Council of Canada (NSERC).
Desired results could not reportedly be got earlier by the development of algorithms to identify and count lunar craters.
“It’s the first time we have an algorithm that can detect craters really well, for not only parts of the moon, but also areas of Mercury,” Ali-Dib, who developed the technique along with alumnus Ari Silburt, postdoctoral researcher Chenchong Charles Zhu, and a group of researchers at CPS and the Canadian Institute for Theoretical Astrophysics (CITA) were reported to state.
Mohamad Ali-Dib: Courtesy of Ken Jones
The determination of its accuracy was done by first training the neural network by the researchers on a large data set covering two-thirds of the moon.
These trained network were then reportedly tested on the remaining third of the moon.
Using this strategy it was possible for the researchers to identify about 6,000 previously unidentified craters on the moon, twice as many craters as traditional manual counting.
The technique has reportedly been successfully used for computer vision to power robots and even self-driving cars and is based on a class of machine learning algorithms known as convolutional neural network.
The data had been taken by the algorithms from elevation maps gathered from orbiting satellites.
It was only after a series of workshops held at U of T Scarborough that the researchers were able to develop this technique co-organized by Associate Professor Kristen Menou.
This fact had reportedly thrown more light on how specific scientific problems could be tackled both by machine learning and deep learning.
“Tens of thousands of unidentified small craters are on the moon, and it’s unrealistic for humans to efficiently characterize them all by eye,” Ari Silburt, a former graduate student in U of T’s department of astronomy and astrophysics and now a postdoc at Penn State University was reported to stae.
“There’s real potential for machines to help identify these small craters and reveal undiscovered clues about the formation of our solar system.”
Knowledge of the size and location of craters on bodies like the moon reportedly enables the researchers to learn the history of our solar system and to better understand the distribution of material and the physics that occurred in the early stages of our solar system, said Ali-Dib.
The count of small craters further advances the knowledge of ages of large craters as well as to find more craters.
“For this technique to work you need an airless body like the moon or Mercury, bodies where there’s little erosion taking place,” adds Ali-Dib.
Ali-Dib and his team also reportedly intend to test this technique on other solar system bodies like Mars, Ceres and the icy moons of Jupiter and Saturn.
(Reporting by Asha Bajaj)
#Ontario'snewweb-basedservice; #labourrelationsservices; #LaurieScott;
Toronto, Mar 8 (Canadian-Media): Ontario has launched a new web-based service to enable people to have easy access to labour relations services and information, media reports said.
New cost-effective digital resources would reduce paperwork and red tape and help organizations save time and enable Ontarians to apply online for conciliation and arbitration help during their collective bargaining resulting in faster and efficient processing for applicants while reducing earlier costly and outdated paper requests.
"Stable labour relations are critical to a strong economy and making Ontario an attractive place to work and invest," said Laurie Scott, Minister of Labour.
Laurie Scott (Ctre)/Facebook
The new resource follows on the heels of the recent launch of Collective Bargaining Ontario, an interactive website that provides neutral labour relations data and trends.
Developed by the Ontario Ministry of Labour, this website features resources and tools that provide labour relations information and trends in Ontario via interactive graphs and charts, searchable databases and reports
This not only supports a stable labour relations climate by providing access to open and transparent information but also helps employers and labour to speed up time-sensitive information.
It also supports small businesses who cannot afford expensive collective bargaining research.
"This is just another example of how Ontario has become a leader in providing new and innovative 21st century accessible digital resources to the public, including the services we provide workers and employers," Scott said.
On July 1, 2019, Ontario will start publishing grievance arbitration awards online to reflect its commitment to transparency, while reducing outdated paper requests and costly methods of mail and fax.
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