This paper proposes a model to predict the levels (e.g., Bachelor, Master, etc.) of postsecondary degree awards that have been ambiguously expressed in the student tracking reports of the National Student Clearinghouse (NSC). The model will be the hybrid of two modules. The first module interprets the relevant abbreviatory elements embedded in NSC reports by referring to a comprehensive database that we have made of nearly 950 abbreviations for degree titles used by American postsecondary educators. The second module is a combination of feature classification and text mining modeled with CNN-BiLSTM, which is preceded by several steps of heavy pre-processing. The model proposed in this paper was trained with four multi-label datasets of different grades of resolution and returned 97.83\% accuracy with the most sophisticated dataset. Such a thorough classification of degree levels will provide insights into the modeling patterns of student success and mobility. To date, such a classification strategy has not been attempted except using manual methods and simple text parsing logic.

The seafood industry has long been a vital economic force in Massachusetts, generating $14 billion annually in sales and employing more than 127,000. But despite the strength of the industry here and our rich fishing grounds and strong ports, the Bay State still imports far more seafood than it produces. Today the U.S. imports 90% of the seafood we eat, and it's clear that wild capture fisheries alone can't meet our increasing demand for seafood. It's time for the United States take action to diversify our food supply by encouraging development of the nascent aquaculture industry. Aquaculture -- or fish farming -- needs to play a bigger role in producing sustainable protein for our growing population.

In this episode, we talk about robotic process automation and artificial intelligence in the context of PwC's Intelligent Automation Framework. Ryan Martin and Jennifer Lendler join Bob Clark to discuss some of the exciting uses companies are finding for these technologies and break down the risks and challenges that accompany these emerging technologies in the real world. We discuss the following questions: 0:57 - What are the differences between robotics, artificial intelligence and machine learning that CFOs and clients are hearing?

Visitors look at a US company Qualcomm stand announcing '5G' technology at the Mobile World Congress (MWC) in Barcelona, Spain, 26 February 2018 (Photo: EPA-EFE/ALBERTO ESTEVEZ) Consumers will have a lot of new tech to digest in the new year ahead, in what is shaping up to be a year of transition. Here's what to look forward to in consumer tech in 2019. We've been hearing about the wicked fast next-generation of wireless for a few years now, and tests and early deployments of a relatively very small scale have long begun in earnest. But 2019 is when the commercial rollout of 5G networks starts to become more real in a lot more places, in the U.S. and overseas. In this country, the first available 5G-capable smartphones are expected to arrive by the spring, and you'll also see 5G hotspots and modems by then, if not sooner.

The standout speaker on artificial intelligence (AI) was Dr. Noah Silverman, founder of Helios.ai, a consulting firm in Hong Kong.

Two words that are spoken in every leadership and board meeting around the world right now are "machine learning". Technology buzzwords seem to monopolize these meetings. Who could forget: digital, big data, internet of things (IoT), mobility, …-as-a-service, security, the cloud and the recent favorite, blockchain? Now, machine learning, deep learning, reinforcement learning, and numerous other technological terms that describe the artificial intelligence space have become this year's buzzwords. I've been in meetings with other executives where most people, including me, can't make heads or tails of what people are talking about when this subject comes up.

TV manufacturers are showcasing new models at the CES gadget show in Las Vegas this week -- all with acronyms to set their sets apart. One feature called HDR10 takes what's known as high-dynamic range and adjusts settings for each frame, instead of having levels set for the entire video at once. HDR10 is also a way to get around royalty payments for a competing technology called Dolby Vision. Meanwhile, quantum-dot technology promises more accurate colors. Samsung calls its version QLED (pronounced q-led), which shouldn't be confused with OLED (o-led), a display that offers darker blacks and better contrast.

Project Wing, a subdivision of Google's parent company Alphabet, will use self-guiding drones to deliver Chipotle food at Virginia Tech this fall. The drones are capable of both flying and hovering on pre-planned routes, avoiding hazards as they go. Dave Vos, head of Project Wing, told Bloomberg that human pilots will be there to take over in case of emergency, as is required by the FAA. This specific experiment is novel, because "it's the first time that we're actually out there delivering stuff to people who want that stuff," Vos told Bloomberg. The drones will launch from a food truck, make the delivery, and return to the truck as a "home base."