About: This project utilises deep learning models, Long-Short Term Memory (LSTM) and neural network algorithm, to predict stock prices.

Machine Learning as a Service Market valued approximately USD 0.87 billion in 2018 is anticipated to grow with a healthy growth rate of more than …

"Machine learning [can be used] to identify patterns and spot which vessels stand out as potentially being involved in illegal fishing," Edwards says.

Fact-checking is the task of verifying the veracity of claims by assessing their assertions against credible evidence. The vast majority of fact-checking studies focus exclusively on political claims. Very little research explores fact-checking for other topics, specifically subject matters for which expertise is required. We present the first study of explainable fact-checking for claims which require specific expertise. For our case study we choose the setting of public health. To support this case study we construct a new dataset PUBHEALTH of 11.8K claims accompanied by journalist crafted, gold standard explanations (i.e., judgments) to support the fact-check labels for claims. We explore two tasks: veracity prediction and explanation generation. We also define and evaluate, with humans and computationally, three coherence properties of explanation quality. Our results indicate that, by training on in-domain data, gains can be made in explainable, automated fact-checking for claims which require specific expertise.

Multi-hop Question Generation (QG) aims to generate answer-related questions by aggregating and reasoning over multiple scattered evidence from different paragraphs. It is a more challenging yet under-explored task compared to conventional single-hop QG, where the questions are generated from the sentence containing the answer or nearby sentences in the same paragraph without complex reasoning. To address the additional challenges in multi-hop QG, we propose Multi-Hop Encoding Fusion Network for Question Generation (MulQG), which does context encoding in multiple hops with Graph Convolutional Network and encoding fusion via an Encoder Reasoning Gate. To the best of our knowledge, we are the first to tackle the challenge of multi-hop reasoning over paragraphs without any sentence-level information. Empirical results on HotpotQA dataset demonstrate the effectiveness of our method, in comparison with baselines on automatic evaluation metrics. Moreover, from the human evaluation, our proposed model is able to generate fluent questions with high completeness and outperforms the strongest baseline by 20.8% in the multi-hop evaluation. The code is publicly available at https://github.com/HLTCHKUST/MulQG}{https://github.com/HLTCHKUST/MulQG .

Volumetric 3D displays are neither easy to produce nor common, as holographic imagery generally requires a mix of stereoscopic screen technology and unique optics, sometimes backed by high-speed eye tracking. Today, the display experts at Sony are throwing their hat into the ring with a new option called the ELF-SR1 -- also known as the Spatial Reality Display -- which is initially being targeted at professional users in content creation businesses, but with an eye towards future use in consumer-facing applications. Resembling a traditional computer monitor fixed on a 45-degree recline with a triangular frame, the Spatial Reality Display combines a 15.6-inch screen with a micro optical lens coating and an eye-tracking camera. While the display packs a conventional 4K resolution, the pixels are effectively split into twin 2K arrays for your left and right eyes, using live pupil tracking data and precision alignment of the micro-lenses atop pixels to deliver sharp, realistic 3D imagery. The results are digital 3D objects that appear to be floating right in front of the screen, and switch perspectives smoothly as your head and eyes move.

You might not have to depend on Google Podcasts if you're asking Assistant to play your favorite serialized audio show. Android Police and its readers have discovered that Google is adding support for third-party podcast services, starting with Spotify. You just have to visit podcast settings in Assistant to choose your provider. We've asked Google if it can comment on the feature's rollout. AP's writer had trouble getting it to work, though it may be due to regional issues.

Gabriel Silva/Army). With the addition of artificial intelligence and machine learning, the aim is …

Over the years, Fox's animated comedy The Simpsons has successfully predicted several real-life developments. From Donald Trump becoming the United States President to Disney purchasing 20th Century Fox, the show's writers have been correct more than a few times. Though not all their predictions have received the attention they deserve. Back in Season 5, in the episode entitled "Homer Loves Flanders," the frenemy neighbors become better acquainted with each other. At one point, Ned takes his new best friend to a baseball game.

We are planning for AI to help universities recruit, oversee adaptive learning and drive intelligent chat boxes, but there is much more ahead in the near …