Kawhi Leonard, Raptors slip past defensive-minded Chicago

first_imgLOOK: Joyce Pring goes public with engagement to Juancho Triviño Schoolteacher sings the praises of Muay Thai for its many benefits Private companies step in to help SEA Games hosting “I’m still coming off this ankle (injury) so I don’t have the same lift but I’ve got to make them regardless,” LaVine said. “Just one of those days. I wish I could go back and make them.”Kris Dunn scored 14 points, and Justin Holiday and Chandler Hutchison each had 11 as the Bulls fell to 5-8 under Boylen.Raptors guard Kyle Lowry (sore lower back) sat for the seventh time in eight games. Toronto is 5-3 without the four-time All-Star.Ahead 68-65 to start the fourth, the Raptors got back-to-back 3-pointers from Delon Wright and Siakam and held a 74-65 lead at 10:10.Carter ended Chicago’s drought with a hook shot at 8:41. The Bulls missed 12 of their first 15 shots in the final quarter.Markkanen’s 3 at 1:21 brought Chicago within 85-82, but Leonard answered with a pair of free throws. After a missed shot by Dunn, Siakam was fouled and made a pair, giving Toronto an 89-82 advantage with 25 seconds to go.Toronto outscored the Bulls 13-2 in fast-break points and scored 21 points off 18 Chicago turnovers, a combination Boylen called “gut-wrenching.”“We gave them 45 points off things I think we’ve got to control better,” he said.TIP-INSBulls: Chicago matched a season-low for opponent’s points in the first half. … F Bobby Portis missed his fifth straight game because of a sprained right ankle. SEA Games: Biñan football stadium stands out in preparedness, completion Raptors: Host Utah on Tuesday night.Sports Related Videospowered by AdSparcRead Next Toronto Raptors forward Kawhi Leonard (2) celebrates with forward Pascal Siakam (43) after defeating the Chicago Bulls during NBA basketball game action in Toronto, Ontario, Sunday, Dec. 30, 2018. (Frank Gunn/The Canadian Press via AP)TORONTO  — A game against the defensive-minded Chicago Bulls wasn’t the ideal situation for the Toronto Raptors to get their struggling offense back on track.In the end, Toronto did just enough to eke out a win.ADVERTISEMENT Leonard scored 12 points in the decisive fourth, going 8 for 8 at the free throw line.“It was an uphill fist fight the whole way,” Toronto coach Nick Nurse said. “We found a way to get to the basket eventually.”Lauri Markkanen had 18 points and 10 rebounds and Wendell Carter Jr. had 16 points and 11 rebounds for the Bulls, who didn’t score for the first 3:19 of the fourth.“I thought we battled,” Boylen said. “For about 36-38 minutes we controlled the game, we controlled the tempo. I’m really proud of our guys.”Chicago’s Zach LaVine fouled out with 13 points. It was a poor shooting night for LaVine, who went 3 for 17, including 0 for 3 from 3-point range.ADVERTISEMENT BREAKING: Corrections officer shot dead in front of Bilibid Kawhi Leonard scored 27 points, Pascal Siakam had 20 points and 12 rebounds and the Raptors beat Chicago 95-89 on Sunday night, their seventh straight victory over the Bulls.Danny Green and Fred VanVleet each scored 10 points as Toronto bounced back from its largest defeat of the season, a 29-point loss at Orlando on Friday.FEATURED STORIESSPORTSPrivate companies step in to help SEA Games hostingSPORTSUrgent reply from Philippine ‍football chiefSPORTSSEA Games: Biñan football stadium stands out in preparedness, completion“They definitely mucked up the game and made it ugly and dirty and slow,” VanVleet said of the Bulls, who have lifted their defensive intensity under new coach Jim Boylen. “Give them credit for that, but you’ve got to be able to win in different ways.”After setting season-lows in made baskets (28) and field goal percentage (.295) at Orlando, the Raptors got off to a rough start against the Bulls. They scored 14 points in the first quarter, matching their fewest in any frame this season. Is Luis Manzano planning to propose to Jessy Mendiola?center_img Raptors: Coach Nick Nurse said Lowry is recovering and should be able to return soon. Lowry also missed time with a bruised hip during this stretch of absences. … VanVleet snapped a streak of 16 consecutive missed shots with a fast break layup in the third. VanVleet missed his final eight attempts in Friday’s loss to the Magic. … Toronto has won three straight at home.BATTLE OF THE BOARDSToronto finished with 17 offensive rebounds to Chicago’s 10, and held a 10-5 advantage in that category in the second half.“Offensive rebounding hurt us,” Hutchison said. “That’s one thing we keep harping on is we can’t beat ourselves in situations like that.”MONTH BY MONTHToronto went 8-7 in December and has not had a losing record in a month since going 8-9 in January 2017.DOUBLE FIGURESVanVleet has scored 10 or more points in eight straight games, one shy of his career high.UP NEXTBulls: Host Orlando on Wednesday night. Don’t miss out on the latest news and information. 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Anaconda Enterprise 52 releases with special focus on machine learning in production

first_imgWith just a month after the release of Anaconda Distribution 5.2, the team at Anaconda, Inc excitingly announces the enterprise release of Anaconda Enterprise 5.2. The newer version of enterprise release boosts its capabilities with GPU-acceleration feature, cloud-native model management and scaling machine learning models. This release is expected to power-up the enterprises with high-speed digital interactions required in Artificial Intelligence and Machine Learning operations. New features in Anaconda Enterprise 5.2: GPU acceleration with Cloud-native support – Enables GPU computation for complex and heavy deep learning workloads. It provides secure and efficient utilization of GPU clusters thereby delivers efficient ways to perform large machine learning operations at scale. Job schedule – This allows priority jobs to be allocated with enough CPU and GPU allocation along with supporting regular deployments of recurring jobs. Easy Git integration – Provides support for collaborating your existing version control and continuous integration tools such as Bitbucket and Git With such new features, millions of scientists can take their machine learning projects from training to production level with complete security and absolute governance. The open source platform Anaconda Distribution is already benefiting over 6 million data science users to develop and optimize their machine learning models on large datasets. Anaconda Enterprise is the only product on the market that allows data scientists to go from laptop for model development to a 1000-node GPU cluster for training to production deployment—all with full reproducibility and governance. According to Anaconda, Inc., “Anaconda Enterprise is the only platform to combine core AI technologies, automated governance, and reproducibility, and cloud-native approaches to make data science teams as productive as possible. Anaconda Enterprise empowers organizations to develop, govern, and automate ML/ AI pipelines from laptop to production, quickly delivering insights into the hands of business leaders and decision-makers.” To know more on the administrator facing and backend improvement changes, you can read the release note which would be very soon available on the Anaconda Documentation. Until then, you can also refer to the official announcement about this release on Anaconda’s blog. Read Next How Amazon is reinventing Speech Recognition and Machine Translation with AI Alibaba introduces AI copywriter Nvidia and AI researchers create AI agent Noise2Noise that can denoise imageslast_img read more

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