… AI and Machine Learning in the 2021 Stevie International Business Awards … Solution in the Artificial Intelligence/Machine Learning category in the …

The BDN Opinion section operates independently and does not set newsroom policies or contribute to reporting or editing articles elsewhere in the newspaper or on bangordailynews.com. Keith E. Sonderling is a commissioner on the U.S. Equal Employment Opportunity Commission.The views here are the author's own and should not be attributed to the EEOC or any other member of the commission. With 86 percent of major U.S. corporations predicting that artificial intelligence will become a "mainstream technology" at their company this year, management-by-algorithm is no longer the stuff of science fiction. AI has already transformed the way workers are recruited, hired, trained, evaluated and even fired. One recent study found that 83 percent of human resources leaders rely in some form on technology in employment decision-making.

DJI's upcoming Mavic 3 Pro drone may be a big upgrade over the last model, according to leaks from DroneDJ and Jasper Ellens seen by The Verge. It may have a significantly longer flight time along with not just one, but two cameras, including a telephoto model and one with a larger Four Thirds sensor. If accurate, the Mavic 3 would be highly desirable for cinematographers and aerial photographers when it arrives, reportedly later this year. Where the Mavic 2 Pro and Mavic 2 Zoom make you choose between a larger sensor or a 24-48mm equivalent zoom, the new model will offer both on one drone. It reportedly comes with two separate cameras, including a 20-megapixel, 24mm f/2.8-f/11 primary camera with a Four Thirds sensor, along with a 12-megapixel, 1/2-inch sensor secondary camera with a 160mm-equivalent telephoto lens.

Textual Question Answering (QA) aims to provide precise answers to user's questions in natural language using unstructured data. One of the most popular approaches to this goal is machine reading comprehension(MRC). In recent years, many novel datasets and evaluation metrics based on classical MRC tasks have been proposed for broader textual QA tasks. In this paper, we survey 47 recent textual QA benchmark datasets and propose a new taxonomy from an application point of view. In addition, We summarize 8 evaluation metrics of textual QA tasks. Finally, we discuss current trends in constructing textual QA benchmarks and suggest directions for future work.

State-of-the-art approaches for visually-guided audio source separation typically assume sources that have characteristic sounds, such as musical instruments. These approaches often ignore the visual context of these sound sources or avoid modeling object interactions that may be useful to better characterize the sources, especially when the same object class may produce varied sounds from distinct interactions. To address this challenging problem, we propose Audio Visual Scene Graph Segmenter (AVSGS), a novel deep learning model that embeds the visual structure of the scene as a graph and segments this graph into subgraphs, each subgraph being associated with a unique sound obtained by co-segmenting the audio spectrogram. At its core, AVSGS uses a recursive neural network that emits mutually-orthogonal sub-graph embeddings of the visual graph using multi-head attention. These embeddings are used for conditioning an audio encoder-decoder towards source separation. Our pipeline is trained end-to-end via a self-supervised task consisting of separating audio sources using the visual graph from artificially mixed sounds. In this paper, we also introduce an "in the wild'' video dataset for sound source separation that contains multiple non-musical sources, which we call Audio Separation in the Wild (ASIW). This dataset is adapted from the AudioCaps dataset, and provides a challenging, natural, and daily-life setting for source separation. Thorough experiments on the proposed ASIW and the standard MUSIC datasets demonstrate state-of-the-art sound separation performance of our method against recent prior approaches.

"As a successful startup involved in machine learning and AI, we like to give back by encouraging students to be creative while also earning …

Starting today, Google is rolling out more robust Spanish language support to Nest Hub and Nest Hub Max devices in the US. With the update, the company has translated the entirety of the user interface on those devices into Spanish. Additionally, it has added additional commands that weren't supported previously. For instance, you can say, "Hey Google, llama a mamá," to tell your Nest Hub to connect you to your mom over Google Duo. Another new voice command allows you to add groceries and other items to a centralized shopping list.

The following contains spoilers for episode three of'Star Wars: Visions' and episode seven of'What If...?' Back in the days when DVD was king, I remember there was a trend of making animated tie-ins for live-action franchises. There were direct-to-video features for Chronicles of Riddick, Van Helsing and, the most famous project of them all, The Animatrix. Nearly 20 years later, streaming reigns supreme and services like Disney seem to be returning to the idea, but bigger and grander with shows like Marvel's What If…? and Star Wars: Visions. Visions, premiering this week, is probably the more ambitious of the two, enlisting talent from various Japanese anime studios to create short films about different aspects of the Star Wars universe. The list includes juggernauts like Trigger (Kill la Kill, Promare) Production I.G (Ghost in the Shell: Stand Alone Complex, Haikyu!!) and Science SARU (Devilman Crybaby, Keep Your Hands Off Eizouken!). Unlike The Animatrix, Lucasfilm was content to mostly hand over the reins to these studios, creating shorts that differ in tone, style and, most notably, continuity.

About one year ago, British newspaper The Guardian ran an article titled A robot wrote this entire article. Are you scared yet, human?, written by an Artificial Intelligence (AI)-enabled robot called GPT-3 (Generative Pre-trained Transformer 3). It is an autoregressive language model that uses deep learning to produce human-like text. GPT-3 was fed a short introduction and was instructed to write an op-ed of around 500 words in simple language, focusing on why humans have nothing to fear from AI. In response, it produced eight different essays. The Guardian picked the best parts of each and ran the edited piece.

In 2020, it was estimated that disinformation in the form of fake news costs around $78 billion annually. But deepfakes, mainly in social media, have matured and are fueled by the sophistication of artificial intelligence are moving into the business sector. In 2019, Deeptrace, a cybersecurity company reported that the number of online deepfake videos doubled, reaching close to 15,000 in under a year. Several startups like Truepic, that's raised $26 million from M12, Microsoft's venture arm, has taken a different approach to deepfakes. They focus on identifying not what is fake, tracking the authenticity of the content at the point it is captured.