Patriot One Technologies Inc. (TSX: PAT) (OTCQX: PTOTF) (FRANKFURT: 0PL) (“Patriot One” or the “Company”) today announced enhancements to its Video Recognition Software (VRS) for identifying weapons and other threats in crowds. Patriot One’s VRS is an advanced artificial intelligence (AI)-based video analytics solution that provides unprecedented accuracy in detecting threats and enabling businesses, schools and other organizations to protect employees, students, customers and assets. Businesses can also use its capabilities to gain valuable intelligence on customer traffic flow and behavior to optimize operations.
With the ability to accurately detect weapons and disturbances of up to 150 feet away, Patriot One’s VRS dramatically improves security and efficiency for organizations that host crowds or the general public, including retail stores, schools, casinos, entertainment venues and more.
“False positives are a huge problem with other AI-based video analysis systems, which is why their alerts need to be reviewed and validated by humans before any action can be taken. This squanders critical minutes in the incident detection and response cycle,” said Peter Evans, CEO of Patriot One. “VRS automatically validates alerts through multiple camera sources and a combination of AI analytic engines, so security staff can be correctly notified and briefed in real-time before a weapons incident or other type of disturbance arises.”
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Key enhancements to VRS include:
High Fidelity Object Recognition: The system accurately detects guns while automatically distinguishing them from umbrellas, phones or other innocuous items. Its accuracy enables the system to notify security personnel at the earliest possible point in the incident cycle, so they can de-escalate potentially violent situations quickly.
People Counting: VRS Counting provides valuable intelligence both for crowd management and business operations, ...
This new technology combines a night vision binocular (which has more features than a goggle) with a clip-on thermal imager, as well as augmented reality technology. That means they can improve sight in the day, detect targets in very low light, bad weather and even through smoke.
Reelgood found that Nomadland, having won the most Oscars this year (and all the PR that comes with that achievement) saw 4.1x more streams the day after director Chloé Zhao and actress/producer Frances McDormand’s historic Oscar wins.
Mank, meanwhile, enjoyed a much stronger boost in viewing after news of its 10 Oscar nominations broke compared to when it actually won two of those noms.
With 74% of global consumers expecting augmented reality (AR) to be even more important in their lives in the next five years, AR has the power to redefine a brand's digital customer experience and mobile engagement
Deloitte Digital and Snap Inc. have conducted one of the largest and most comprehensive global "Consumer Augmented Reality" reports to further understand the potential of this technology, the findings of which affirm AR's role as the next frontier of mobile and digital engagement and identify how AR can help brands elevate their customer experience.
The report, which evaluated responses from 15,000 U.S. domestic and international consumers, about half of which use Snapchat, shows that AR has the power to impact a business' bottom line, not only driving customer connections but significantly driving conversions. AR has made the move to utility: no longer seen as just a toy (used to try out hairstyles or send playful videos between friends), but now as a meaningful engagement tool for brands, where consumers can, for example, virtually try on beauty products or envision a piece of furniture in their home. This growth in AR usage represents how virtual commerce is becoming more accessible, ultimately changing the shopping experience for consumers.
"As AR evolves, it will revolutionize our lives and become as significant of a technology shift as the web or mobile was to society, changing how we view and interact with the world around us," said Allan Cook, managing director, Deloitte Consulting LLP, and Digital Reality Business leader at Deloitte Digital. "The report shows that AR is really only in the beginning stages of being integrated in our everyday activities and is poised to make the journey from our cameras today to smart glasses tomorrow."
Now, MIT researchers have developed a new way to produce holograms almost instantly — and the deep learning-based method is so efficient that it can run on a laptop in the blink of an eye, the researchers say.
Shi believes the new approach, which the team calls "tensor holography," will finally bring that elusive 10-year goal within reach.
...a hologram encodes both the brightness and phase of each light wave. That combination delivers a truer depiction of a scene's parallax and depth.
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Shi's team took a different approach: letting the computer teach physics to itself.
They used deep learning to accelerate computer-generated holography, allowing for real-time hologram generation. The team designed a convolutional neural network — a processing technique that uses a chain of trainable tensors to roughly mimic how humans process visual information.
In mere milliseconds, tensor holography can craft holograms from images with depth information — which is provided by typical computer-generated images and can be calculated from a multicamera setup or LiDAR sensor (both are standard on some new smartphones).
This advance paves the way for real-time 3D holography. What's more, the compact tensor network requires less than 1 MB of memory. "It's negligible, considering the tens and hundreds of gigabytes available on the latest cell phone," he says.
The research "shows that true 3D holographic displays are practical with only moderate computational requirements," says Joel Kollin, a principal optical architect at Microsoft who was not involved with the research.
Currently, most affordable consumer-grade displays modulate only brightness, though the cost of phase-modulating displays would fall if widely adopted.
Recognised as the top scoring Facial Recognition Technology (FRT) without the presence of masks by the US Department of Homeland Security – as well as ranking second when masks were present – Corsight's technology can accurately identify individuals on watchlists even within highly challenging conditions. This advanced AI technology allows for ethical and accurate detection, significantly reducing the chance of false positives and ensuring its capabilities go far beyond that of the human eye. Alongside real-time detection, Corsight also provides law enforcement, transportation, government agencies, airports, retail outlets, banks, and more with forensic video analysis that can analyse hours of footage in minutes.
...the hires will increase the size of the responsible AI team that she leads to 200 researchers. Additionally, she said that Alphabet Chief Executive Sundar Pichai has committed to boost the operating budget of a team tasked with evaluating code and product to avert harm, discrimination and other problems with AI.
Health will be one area of focus for the group, she said. The AI team recently assisted in the development of an algorithm that can detect abnormal heart rhythms by scanning fingertips on an Android phone. During its development, she said the ethics team helped determine that darker-skinned people had more variabilities and errors in testings, which had to be addressed before the product’s release.
A new paper from four Google researchers proposes an ‘expert’ system capable of authoritatively answering users’ questions without presenting a list of possible search results, similar to the Q&A paradigm that has come to public attention through the advent of GPT-3 over the past year.
The paper, entitled Rethinking Search: Making Experts out of Dilettantes, suggests that the current standard of presenting the user with a list of search results in response to an inquiry is a ‘cognitive burden’, and proposes improvements in the ability of a natural language processing system (NLP) to provide an authoritative and definitive response.
Under the proposed model of an ‘expert’, cross-domain oracle, the thousands of possible search result sources will be baked into a language model instead of being explicitly available as an exploratory resource for users to evaluate and navigate for themselves. Source: https://arxiv.org/pdf/2105.02274.pdf
The paper, led by Donald Metzler at Google Research, proposes improvements in the type of multi-domain oracle responses that can currently be obtained from deep learningautoregressive language models such as GPT-3. The main improvements envisaged are a) that the model would be capable of accurately citing the sources that informed the response, and b) that the model would be prevented from ‘hallucinating‘ responses or inventing non-existent source material, which is currently an issue with such architectures.
Multi-Domain Training And Capabilities
Additionally, the proposed language model, characterized in the paper as ‘A Single Model for all Information Retrieval Tasks’, would be trained on a variety of domains, including images and text. It would also need an understanding about the provenance of knowledge, which is lacking in GPT-3 style architectures.
‘To replace indexes with a single, unified model, it must be possible for the model itself to have knowledge about the universe of document identifiers, in the same way that traditional indexes do. One way to accomplish this is to move away from traditional LMs and towards corpus models that jointly model term-term, term-document, and document-document relationships.’
In the image above, from the paper, three approaches in response to a user inquiry: left, the language models implicit in Google’s algorithmic search results have chosen and prioritized a ‘best answer’, but have left it as the top result of many. Center, a GPT-3 style conversational response, which speaks with authority, but does not justify its claims or cite sources. Right, the proposed expert system incorporates the ‘best response’ from the ranked search results directly into a didactic answer, with academic-style footnote citations (not depicted in the original image) indicating the sources that inform the response.
A main factor in the continued growth of animated commissions since 2018 is the increased accessibility and variety of adults’ Animation. This has attracted a greater, more varied, viewership. As VoD platforms see a greater demand, they then commission more Animation, further increasing the availability and variety of animated series available. However, the influence of COVID-19 on the film and TV industry must be considered. Lockdowns have encouraged consumers to explore the content available in their VoD libraries. Additionally, many of the increased risks and costs of live-action production resulting from the pandemic do not apply to Animation.
...what makes these new US commissions stand out is that they are not Comedies. Being part of popular franchises guarantees these titles a high level of viewership. Moreover, they will introduce an even wider range of audiences to non-comedic Animation genres, perpetuating Animation’s ongoing cycle of growth.
