Recent years have witnessed the proliferation of fake news, propaganda, misinformation, and disinformation online. While initially this was mostly about textual content, over time images and videos gained popularity, as they are much easier to consume, attract much more attention, and spread further than simple text. As a result, researchers started targeting different modalities and combinations thereof. As different modalities are studied in different research communities, with insufficient interaction, here we offer a survey that explores the state-of-the-art on multimodal disinformation detection covering various combinations of modalities: text, images, audio, video, network structure, and temporal information. Moreover, while some studies focused on factuality, others investigated how harmful the content is. While these two components in the definition of disinformation -- (i) factuality and (ii) harmfulness, are equally important, they are typically studied in isolation. Thus, we argue for the need to tackle disinformation detection by taking into account multiple modalities as well as both factuality and harmfulness, in the same framework. Finally, we discuss current challenges and future research directions.

The reporting and analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Politicians and other key players enjoy direct access to their audiences through social media, bypassing the filters of official cables or traditional media. However, the multiple advantages of free speech and direct communication are dimmed by the misuse of the media to spread inaccurate or misleading claims. These phenomena have led to the modern incarnation of the fact-checker -- a professional whose main aim is to examine claims using available evidence to assess their veracity. As in other text forensics tasks, the amount of information available makes the work of the fact-checker more difficult. With this in mind, starting from the perspective of the professional fact-checker, we survey the available intelligent technologies that can support the human expert in the different steps of her fact-checking endeavor. These include identifying claims worth fact-checking; detecting relevant previously fact-checked claims; retrieving relevant evidence to fact-check a claim; and actually verifying a claim. In each case, we pay attention to the challenges in future work and the potential impact on real-world fact-checking.

Generally the conversations I've had are around memorization vs. learning. If I give a student a test in a subject over and over again, chances are they will memorize answers rather than learn the material. If I give a student a project that they need to use the skills I teach them in order to create something new, and they succeed, I know I have taught them something rather than just asked them to answer questions that they memorized. If they fail I know I need to go back and teach them a different way. ML models behave in a similar fashion.

Reinforcement Learning, which is a reward-based system to train complicated devices without complicated reverse kinematic calculations.

To build intuition about machine learning we need only understand optimization with one extra ingredient, generalization.

VANCOUVER, British Columbia, March 11, 2021 -- AMPD Ventures Inc. ("AMPD" or the "Company") is pleased to announce a'Machine Learning …

As one of the first companies to participate in Intel Ignite startup accelerator, Deci will now work with Intel to deploy innovative AI technologies to mutual customers. The collaboration takes helps enable deep learning inference at scale on Intel CPUs, reducing costs and latency, and enabling new applications of deep learning inference. New deep learning tasks can be performed in a real-time environment on edge devices and companies that use large scale inference scenarios can dramatically cut cloud or datacenter cost, simply by changing the inference hardware from GPU to Intel CPU. "By optimizing the AI models that run on Intel's hardware, Deci enables customers to get even more speed and will allow for cost-effective and more general deep learning use cases on Intel CPUs," says Deci CEO and co-founder Yonatan Geifman. Deci and Intel's collaboration began with MLPerf where on several Intel CPUs, Deci's AutoNAC (Automated Neural Architecture Construction) technology accelerated the inference speed of the well-known ResNet-50 neural network, reducing the submitted models' latency by a factor of up to 11.8x and increasing throughput by up to 11x.

If--like Wanda Maximoff--you've been living in your own reality, distant from all things in 2021, you may not have heard about "WandaVision," whose first and only season ended on March 5th. The immensely popular show, from Disney and Marvel Studios, follows Wanda, a.k.a. the Scarlet Witch, an Eastern European refugee with "chaos magic" powers, and her husband Vision, a synthezoid (android) who died in the events of the Marvel movie "Avengers: Infinity War." Nearly all nine episodes of "WandaVision" depict the pair in what appears to be domestic suburban bliss. Nearly all take plots and visual style from one of the sitcoms that Wanda watched for solace during her bleak wartime youth, from the black and white of "The Dick Van Dyke Show" to the faux-reality vibe of "The Office." These anachronistic, self-contained sitcom scenarios fall apart as people from the outside world break in.

By working with AWS, Vonage is bringing AI into the contact center through AWS Contact Center Intelligence (CCI), with tools for Speech Recognition, …

The brushless motor that almost silently spins its 10.1-inch HD display around a 350-degree arc is the feature that will grab your attention when you take it out of the box, but you'll quickly discover many more things to get jazzed over when you set about exploiting its capabilities to the fullest. This is a fantastic feature whether you're following a recipe, engaging in a video call, or watching a movie on Netflix. And Amazon gives you full control over how motion occurs: You can disable it entirely, enable it only for some activities--such as when making video calls, watching a video, or following a recipe--or you can activate/deactivate it on demand by saying things like "Alexa, follow me," "Alexa, turn right," or "Alexa, turn off motion." If you place the Echo Show next to a wall or in a corner, you can adjust how far it will rotate so that it doesn't bump into anything as it spins. The display apparently has a clutch or a similar mechanism that automatically disengages the motor while at rest, allowing you to manually turn the display left or right even if motion is enabled.