MOST READ Lue has experimented with Love at center during training camp and believes the new-look lineup will create matchup problems for opposing centers as well as open the floor for LeBron James, Derrick Rose and others.“He’s a great passer,” Lue said of Love. “Fives (centers) have to get out and try to guard him on the pick and roll with LeBron and D-Rose and those guys making plays, so it’s going to be tough for those guys. We liked it.”FEATURED STORIESSPORTSRedemption is sweet for Ginebra, Scottie ThompsonSPORTSMayweather beats Pacquiao, Canelo for ‘Fighter of the Decade’SPORTSFederer blasts lack of communication on Australian Open smogCenter Tristan Thompson will come off the bench, and newly acquired forward Jae Crowder will take Love’s former spot, Lue said. Crowder, acquired this summer in the Kyrie Irving trade, is a strong defender.Lue said he spoke to Thompson about the switch and “it was great.” Thompson started all 78 games at center for Cleveland last season. In 2016, he made just 33 starts and the Cavs went on to win the NBA title. How to help the Taal evacuees LATEST STORIES It’s too early to present Duterte’s ‘legacy’ – Lacson Mos Burger to open in Manila; teases with a pop-up DAY6 is for everybody “With Jae starting at the four, LeBron’s able to roam freely on the defensive end,” Lue said. “Jae will take the toughest matchup between the 3s and the 4s and LeBron will be able to roam and kind of quarterback our defense. Being that back line defense, talking, communicating, and also being able to pick off passes when guys are throwing bad passes. I like LeBron in that role because he’s great at being the help guy, being in the right spots at the right places, so I think it will be good for us.”For now, James is sidelined with a sprained left ankle sustained last week in practice. Lue said the three-time champion will not play in Wednesday night’s exhibition opener against Atlanta. James’ injury is not believed to be serious, and the Cavs will make sure he’s full healed before he plays.Lue said he expects James on the court at some point in the preseason. Cleveland opens the regular season on Oct. 17 against Irving and the Celtics.Sports Related Videospowered by AdSparcRead Next Jake says relationship with Shaina ‘goes beyond physical attraction’ Don’t miss out on the latest news and information. View comments OSG plea to revoke ABS-CBN franchise ‘a duplicitous move’ – Lacson Carpio hits red carpet treatment for China Coast Guard PLAY LIST 02:14Carpio hits red carpet treatment for China Coast Guard02:56NCRPO pledges to donate P3.5 million to victims of Taal eruption00:56Heavy rain brings some relief in Australia02:37Calm moments allow Taal folks some respite03:23Negosyo sa Tagaytay City, bagsak sa pag-aalboroto ng Bulkang Taal01:13Christian Standhardinger wins PBA Best Player award Margot Robbie talks about filming ‘Bombshell’s’ disturbing sexual harassment scene Nadal credits passion and overcoming injuries for success “I told him I’m one guy you don’t have to worry about,” Thompson said. “I’m a team-first guy. I understand that at the end of the day it’s about winning and if you win, we all look good — whether you come off the bench or you start. And it’s not about who starts the game, it’s about who is in the game in the fourth and who is finishing it. So, I’m not worried. The last time I came off the bench, if history repeats itself, we had a parade in June. So, I’ll take it.“I’m going to go for Sixth Man of the Year, put myself in position to do that.”Lue has more options this season after Cleveland’s roster was overhauled with Irving being traded to Boston and the additions of Rose, Crowder, Dwyane Wade, Isaiah Thomas and Jeff Green.Wade will likely be Cleveland’s backup point guard until Thomas recovers from a hip injury, but Lue said he hasn’t committed to that idea just yet.As for Crowder, Lue said his defensive presence will free up James.ADVERTISEMENT Redemption is sweet for Ginebra, Scottie Thompson Kevin Love of the Cleveland Cavaliers celebrates his basket in the first quarter against the Brooklyn Nets at the Barclays Center on January 6, 2017 in the Brooklyn borough of New York City. Elsa/Getty Images/AFPCLEVELAND— Cavaliers All-Star Kevin Love is being moved after all — from forward to center.Love, who has been the subject of trade speculation for three years in Cleveland, will be the club’s new starting center, coach Tyronn Lue announced Monday night after the team played an intra-squad scrimmage at Quicken Loans Arena.ADVERTISEMENT In ‘Jojo Rabbit,’ Comedy and Drama Collide
You could be forgiven for thinking that this past week yielded the discovery of some new type of AI, but watching Elon Musk donate US$10 million to the Future of Life Program would lead one to believe that. Musk donated these funds specifically to push for research designed to keep artificial intelligence friendly.The Future of Life Institute was founded by one of the creators of Skype, who said that building AI is like controlling a rocket: You concentrate on acceleration first, but once that’s accomplished, steering becomes the real focus.But Musk wasn’t the only one focusing on futuristic AI this week. Deep learning got a big boost from bloggers and developers, as well. Two larger pieces on the state of deep learning went live.Particularly interesting is the use of AI and data visualization to imagine higher-level dimensional data. And in the latter link, a podcast on machine learning, specifically tackles the ethical questions, again. Does this mean we need three rules for AI, like Asimov’s robots? 2015 might be the year we finally tart laying some ethical guidelines for AI. But looking more deeply into what machine learning actually entails, Christopher Olah’s blog postings on the topic are truly enlightening. He dives deeply into the ways neural networks function to try and help us understand what, exactly is going on inside these mysterious learning programs.While reading his pieces on the topic, all of which are magnificent, I was struck by just how much learning algorithms can be understood by outputting visuals of their inner workings. Olah does a great job of this, representing the hidden intermediate steps of a neural network’s reasoning in ways that show how it is going about its rationalizations.This phenomenon is exemplified in some interesting ways on the Web, though not quite as obliquely. My favorite example is Genetic Cars. While this is an evolutionary algorithm rather than an AI algorithm, it’s still of similar importance. The program generates possible solutions to a simple question in a confined problem space. Here, instead of performing image recognition, it’s just building cars and seeing how far they can get on a random track.One has to wonder if human reasoning works in a similar way, or in a completely different way. The scientific method would dictate that we’re relatively similar: trial and error, ruling out the inferior, and eventually yielding a solution.
Tomorrow morning, Cassandra Summit kicks off in San Jose. The event highlights the growth in popularity of the Apache Cassandra NoSQL project, as well as the expansion of Valley-darling database company DataStax.We caught up with DataStax cofounder and CTO Jonathan Ellis to chat about his recent decision to step down from the chairmanship of the Apache Cassandra Project. After five years working so closely with the open-source project and DataStax’s eponymous enterprise offering, we thought a debriefing was in order.What are you looking forward to seeing and hearing about at Cassandra Summit?I’m looking forward to an update from our evangelism team on data modeling and what we’ve learned over the past year seeing what the new features of Cassandra 3.0 make possible— in particular materialized views, which we launched late last fall. That really takes a lot of the headache away. You used to have to spend a lot of time manually de-normalizing tables to fit your query patterns, and materialized views automates that at the server level.I think one of the big themes is that Apache Cassandra 3.0 has been out for about nine months, and so we’re starting to get some experience with that from the field, if you will, and we’re getting feedback on that into the project.What’s new with DataStax Enterprise?We had our 5.0 release in June, our multi-model support, and for the first time we added graph support on top of Cassandra, and analytics, and search.We included Cassandra support for JSON interoperability. You can take a JSON document, and Cassandra will automatically turn it into tables, and rows, and user-defined types that are nested. Cassandra is loosely based on a tables-and-rows model. But, unlike a classic relational row that just has primitive columns inside it, a Cassandra row can hold collections like maps and lists that contain entries that, themselves, contain other nested entries. You can actually take an arbitrarily nested JSON document and map it into a Cassandra row. That came with DataStax Enterprise 5.0.Now that you’ve left the project management committee for Apache Cassandra, will you still be contributing to the open source project anymore?Honestly, the last big feature I wrote for Apache Cassandra was lightweight transactions back in version 2.0. My role has been turning into an executive and managerial one inside DataStax.In terms of my involvement with Apache Cassandra, I’m still involved at an architectural level and am consulting on things like how’s the best way to build this at a high level, what’s the API going to look like, and how’s it going to work under the hood. I’ll still be involved at that level as a member of the community. But I’m going to be giving that administrative role of project chair to someone else and funnel that extra time into DataStax.What would you like to see from Cassandra over the next two or three years?I’ve always said I have a pretty foggy crystal ball. I have a pretty good idea of what I’d like to see in the next six months. In the next three years… a lot can change in that timeframe.Right now, Cassandra is very well suited for individual applications. But it’s starting to move into enterprises where those companies would like to centralize their Cassandra management functions. Rather than have eight different Cassandra clusters for eight different Cassandra applications—and sometimes that’s the best choice if these applications have different enough specifications that you need to tune each one separately—but often these enterprises would like to manage a single Cassandra cluster and provide that as a resource. So I wonder if multi-tenancy might be the next horizon for Cassandra to tackle.We chatted when you started Riptano (which changed its name to DataStax in 2010). In all that time since then, what is your favorite memory from building out Cassandra?I think my favorite thing has been watching Cassandra grow from an engineering effort that implemented ideas that came from other places. At the beginning, it was an amalgam of Google’s Bigtable and Amazon’s Dynamo—these research papers that those companies had put out, growing from that and doing innovative technologies that were the first in the industry. Some of the ones that come to mind are lightweight transactions. We did the work on time-series, workload-specific compaction optimizations. Those are things people could write research papers and doctoral-level papers about. We’ve gone from imitators to innovators.
Microsoft has announced a new partnership with Amazon to create a open-source deep learning library called Gluon. The idea behind Gluon is to make artificial intelligence more accessible and valuable. According to Microsoft, the library simplifies the process of making deep learning models and will enable developers to run multiple deep learning libraries. This announcement follows their introduction of the Open Neural Network Exchange (ONNX) format, which is another AI ecosystem. Gluon supports symbolic and imperative programming, which is something not supported by many other toolkits, Microsoft explained. It also will support hybridization of code, allowing compute graphs to be cached and reused in future iterations. It offers a layers library that reuses pre-built building blocks to define model architecture. Gluon natively supports loops and ragged tensors, allowing for high execution efficiency for RNN and LSTM models, as well as supporting sparse data and operations. It also provides the ability to do advanced scheduling on multiple GPUs.“This is another step in fostering an open AI ecosystem to accelerate innovation and democratization of AI-making it more accessible and valuable to all,” Microsoft wrote in a blog post. “With Gluon, developers will be able to deliver new and exciting AI innovations faster by using a higher-level programming model and the tools and platforms they are most comfortable with.”The library will be available for Apache MXNet or Microsoft Cognitive Toolkit. It is already available on GitHub for Apache MXNet, with Microsoft Cognitive Toolkit support on the way.