If the first-team squad numbers announced by Wolverhampton Wanderers on Friday afternoon are anything to go by, Nigerian-born wonderkid Bright Enobakhare is in line to make his Premier League debut this season.Enobakhare has been handed the number 14 shirt for the entirety of the 2018-2019 campaign.Last season, the highly-rated young striker wore the number 26 shirt 21 times in the Championship as Wolves secured promotion to the Premier League, the same number he donned during the 2016-2017 campaign. Enobakhare played with the number 48 kit when he made his first-team debut for Wolves in a League Cup tie against Barnet on August 25, 2015.The 20-year-old has worn the number 9, 10, 15, 16, 17 shirts for the youth teams of Wolverhampton Wanderers.In 49 outings for Wolves’ first team, Enobakhare, who joined the club at the age of 15, has found the net on three occasions. Wolves face Everton at the Molineux Stadium in their Premier League curtain-raiser on Saturdaybefore a trip to Leicester City next weekend.Share this:FacebookRedditTwitterPrintPinterestEmailWhatsAppSkypeLinkedInTumblrPocketTelegram
The BC Forest Service is reporting 3 Fires around the Fort St. John area today.All three of the fires are less than a hectare in size with no fire crews actioning those fires. Two were started by ligthning last night, the other was started by a camp fire. As for the fire up at Tommy Lakes the Rhino Fire Crew from Fort St. John is working the fire that is 14.4 hectares in size. The fire is completely contained and has received some rain in the last few days.The BC Forest Service is once again reminding the public the Fire Danger Rating here in the North Peace is High to Extreme. Due to continued risk of lightning the BC Forest Service reminds the public to use extreme caution when lighting any fires. Human caused fires divert critical resources from naturally occurring fires caused by lightning.- Advertisement -To report a wildfire or unattended campfire call 1-800-663-5555 or *5555 on most cellular networks. For more information on open fire restrictions or for updates on current wildfire activity, visit www.bcwildfire.ca, or call our information line 1-888-3FOREST (1-888-336-7378).
According to the researchers, this dataset took more than a year to put together and faced many technical issues such as choosing the action categories, where to find videos, and how to put it together in a way that an AI system can learn without bias. “IBM came to MIT with an interest in developing new ideas for an artificial intelligence system based on vision. I proposed a project where we build data sets to feed the model about the world. It had not been done before at this level. It was a novel undertaking. Now we have reached the milestone of 1 million videos for visual AI training, and people can go to our website, download the dataset and our deep-learning computer models, which have been taught to recognize actions,” Oliva said. Going forward, the researchers expect the dataset to improve and provide more capabilities to AI systems with a variety of abstraction levels. The current Moments in TIme dataset is just the first version, and already one of the largest human-annotated video datasets, according to the researchers. This will server as a stepping stone towards developing learning algorithms that “can build analogies between things, imagine and synthesize novel events, and interpret scenarios,” according to MIT. “We expect the Moments in Time dataset to enable models to richly understand actions and dynamics in videos” said Dan Gutfreund, a principal investigator at the MIT-IBM Watson AI Laboratory . Researchers from the MIT-IBM Watson AI Lab want to make computers more “human.” The researchers are currently working on a project that will help computers understand and recognize dynamic events. “As we grow up, we look around, we see people and objects moving, we hear sounds that people and object make. We have a lot of visual and auditory experiences. An AI system needs to learn the same way and be fed with videos and dynamic information,” said Aude Oliva, principal research scientist at MIT CSAIL, and the project’s principal investigators.The research, Moments in Time dataset, is part of the the MIT-IBM Watson AI Lab’s commitment to artificial intelligence. The lab is focused on four research areas: AI algorithms, the physics of API, the application of AI to industries and advancing shared prosperity through AI. Moments in Time dataset is focused on building a large-scale dataset that will enable AI to recognize and understand actions and events in videos. Currently, the dataset consists of one million labeled 3 second videos that include people, animals and objects. “This dataset can serve as a new challenge to develop AI models that scale to the level of complexity and abstract reasoning that a human processes on a daily basis,” Oliva added, describing the factors involved. Events can include people, objects, animals, and nature. They may be symmetrical in time — for example, opening means closing in reverse order. And they can be transient or sustained.