Boys’ Town’s Virgo accepts apology from ‘Tuffy’

first_imgBoys’ Town stalwart defender Xavian Virgo says he holds no ill feelings towards temperamental Waterhouse striker Jermain ‘Tuffy’ Anderson, who knocked him unconscious with an elbow during their Red Stripe Premier League (RSPL) football game at Barbican Field last Sunday.”Tuffy called me the night. Although I could not really hear what he was saying because the line was breaking up, I knew he was apologising, so I just told him that everything was all right and that there were no hard feelings,” he said.”This is something that Tuffy Anderson always does in a game. He plays like that. It’s a natural thing for him,” admitted Virgo.”It’s dangerous because it was a scary moment for me. But it was just a challenge, and I came out on the bad side of it. He could have come out on the wrong side as well. So I have nothing against Tuffy. It’s just one of those days. It’s football all over,” Virgo told The Gleaner at a Locker Room Sports KSAFA Jackie Bell KO match at their Collie Smith Drive grounds on Tuesday, which Boys’ Town won 4-2 over Maxfield Park.Virgo also implored.”All I am just saying as a player is that we need to be more careful because it might happen to somebody else and it might be worse,” he said.”Some of the players need to be careful when they are playing because serious things can happen in football and some of us have our families to take care of. We are not playing to hurt each other, even though we play to win, play aggressive and hard, but be careful when they are out there playing.”NODAMAGEThe 30-year-old said he went blank after being hit but is pleased to know that he did not receive any major damage.”Tuffy jumped in front of me, swung his elbow and hit me in the centre of my face. I fell to the ground and saw blood coming from my face and I called to the referee, who was running towards me, looked at it and said ‘Tuffy, you see what you did?’. Then after that, I can’t tell you what happened as I passed out.”But none of the bones were damaged, so that was good. I only have a little pain to the neck. But all in all, I am recovering well … . By the next game, I should be ready because I returned to training this (Tuesday) morning,” he disclosed.last_img read more

dSPACE strenghtens AI expertise by acquiring understand.ai

first_imgdSPACE acquires the start-up company understand.ai. Under the umbrella of the dSPACE group companies, understand.ai will invest in the core tasks ‘artificial intelligence (AI) applications’ and ‘cloud-based tools’, further develop its existing products as an integral part of the dSPACE product range, and use the dSPACE global sales network to market its products and services.In the development and introduction of autonomous vehicles, it is crucial to detect the environment of the vehicle realistically and without faults. Other road users, traffic signs, lanes, the static roadside structures, and open spaces must be reliably identified.For this purpose, self-learning (machine learning) algorithms, in particular deep neural networks (DNNs) based on artificial intelligence, are used in these autonomous vehicles. These algorithms must be trained and validated efficiently. Therefore, it is a requirement to analyze, annotate, and also anonymize a tremendous amount of recorded (camera, lidar, and radar) sensor data.The quantity, quality, and diversity of this training and validation data determine the quality of the resulting DNNs. The annotation process, also called labeling, is required for classifying the objects as a reference for machine learning. Today, this process carried out manually, which is mostly time-consuming and does not always ensure the highest quality level.understand.ai has proprietary expert knowledge that enables automating this process to the greatest extent possible. The company also uses self-learning algorithms to process high-quality training and validation data. The underlying key technology is also based on artificial intelligence and ensures efficient data analysis as well as precise data annotation, which guarantees high quality training data for AI-based driving algorithms. understand.ai develops AI- and web-based tools for this area of application. The underlying know-how is also used to extract simulation scenarios from sensor data.Share this:TwitterFacebookLinkedInMoreRedditTumblrPinterestWhatsAppSkypePocketTelegram Tags: Tools & Software Continue Reading Previous IBASE: COM Express module powered by AMD Ryzen Embedded V1000 SoCNext ept achieves impressive results in Bishop Customer Satisfaction Surveylast_img read more