Week Four NotesFRISCO, Texas – Southeastern Louisiana’s Marlain Veal is the Southland Conference Player of the Week, the league announced Monday. Southland Conference Players of the Week are presented by UniversalCoin.com.Veal helped the Lions (4-3) to a perfect 3-0 week, averaging 15 points per game alongside 6.7 assists per game. All three wins came on the road, including two away wins and one neutral victory in Birmingham, Ala. Southeastern returns to the court Tuesday to host Southern (New Orleans) at 7 p.m. CT before being idle for two weeks, next competing on Dec. 12 at UCF. Honorable Mention: T.J. Holyfield, Stephen F. Austin; Tevon Saddler, Nicholls; Jaren Lewis, Abilene Christian. Southland weekly award winners are nominated and voted upon by each school’s sports information director. Voting for one’s own athlete is not permitted. To earn honorable mention, a student-athlete must appear on 25 percent of ballots. Men’s Basketball Player of the Week – Marlain Veal, Southeastern Louisiana – Jr. – Guard – New OrleansVeal led Southeastern to three-straight wins away from home for the first time since 2006 as the junior from New Orleans averaged 15 points, 6.7 assists, 2.3 steals and 4 rebounds on the week. He tied for team-high honors with 22 points in helping his side rally from a 12-point deficit to defeat previously-unbeaten Kent State 70-66 on Tuesday. He also had five rebounds, three assists and three steals. He followed that performance by tying his career high for assists with 10 dishes against Samford in a 77-71 victory. Veal also recorded 14 points to earn his second career double-double. He wrapped up the week with nine points, five rebounds and a team-high seven assists in a 73-59 win over Mississippi Valley State on Saturday.
OutSystems is releasing a new low-code visual debugger. The platform will allow users to troubleshoot code that is running server-side or on mobile devices.According to the company, low-code solutions allow teams to deliver solutions 10 times faster than if they were coding the whole thing; but currently there aren’t really any good low-code platforms for debugging. The ones that market themselves as low-code still require complicated setup such as plug-in installations, configuration settings and scripts that would be beyond the ability of the average developer. OutSystems’ solution aims to solve this problem.“Today, we set a new bar for developers struggling to debug code running on mobile devices. To provide organizations with a low-code approach for building rich mobile experiences, but then expect them to resort to complex developer tools when it is time to debug them, completely defeats the purpose of a low-code platform,” said Gonçalo Borrêga, head of product at OutSystems. “We see developers modeling complex interactions and logic that runs on the device, taking advantage of native capabilities. By providing a seamless and visual debugging experience, whether the code is running on an iPhone, Android, or server-side, we ensure teams get the benefits of low-code throughout the entire development lifecycle.”With this new capability, users can create and troubleshoot any type of applications and reduce the risk of critical mobile initiative. The debugger tab within OutSystems will provide relevant data like variable and runtime values as well as debugging context.
DimensionalMechanics has announced a new programming language for artificial intelligence and deep learning development. Its NeoPulse Framework 2.0, called NML 2.0, is designed to make AI more accessible to developers, programmers and data scientists. “With NeoPulse, our AI builds your AI,” said Rajeev Dutt, CEO of DimensionalMechanics. “We’ve created a platform for AI development that lets developers of all skill levels rapidly answer data-driven questions using a cost-effective and repeatable approach. Our NML language is purpose-built for deep learning, yet easy enough to learn in just days. Developers can now create AI models in a fraction of the time and cost than was ever possible before.”According to DimensionalMechanics, organizations lack the skills and specialized knowledge necessary to build deep learning software solutions. This results in the inability to convert structured and unstructured data into intelligent assets. “CIOs will have to overcome challenges. Many are dealing with data of poor or uncertain quality. Their organizations often have minimal AI skills. Some CIOs are struggling to understand the capabilities of new AI techniques, and how to identify use cases to which AI may be applied productively,” according to a recent Gartner survey on how CIOs are making progress with AI initiatives in 2018. NML 2.0 enables organizations to build AI solutions based on a variety of data types including video, numerical text, images and audio. The framework features the NeoPulse Modeling Language 2.0, NeoPulse AI Studio 2.0, Portable Inference Models (PIMs) and NeoPulse Query Runtime 2.0. The modeling language is a domain specific language designed to automate the creation of AI models and tackle machine learning problems like classification and regression. The AI Studio is an “AI that builds AI.” The AI-as-a-Service capability automates creating custom AI models. The PIMs are portable AI models that can be deployed across different environments. Lastly, the runtime enables any app to access the PIMs with REST APIs. In addition, the company announced an A-2 round of funding of US$1.2 million, bringing the company’s total amount raised to $7.9 million. “Our versatile platform and software tools can be used across any industry and any data types, and provides CIOs with a common AI platform for use throughout their organizations. We’re confident that our next-gen NeoPulse can help accelerate the adoption of machine learning for organizations of all sizes and technical capabilities,” said Dutt.