Lamcom Technologies installs first HP Latex 2700W in Canada

Lamcom is solidifying its commitment to sustainability and will now be able to expand its business with white ink, banner, and soft-signage textile capabilities by investing in the first HP Latex 2700W wide-format digital printer in Canada.

Montreal’s Lamcom Technologies recently installed HP Latex 2700W, the first in Canada, will expand its white ink, banner, and soft-signage textile capabilities – enabling the company to take on more jobs in its growing portfolio without compromising on sustainability. Founded in 1975 and based in Montreal’s Rosemont-Petite-Patrie borough, the company offers fast turnkey printing services. To ensure that it continues to operate as environmentally responsible as possible, Lamcom prioritizes sustainability in all of its decisions (such as, when available, products made from recycled materials or without PVC, as well as eco-friendly inks), making them a key factor in its decision to work with HP.

Lucie Carbonneau

“Lamcom prides itself on doing the impossible for our clients,” said Lucie Carbonneau, Executive Director at Lamcom Technologies. “To do this, we need top-of-the-line equipment. HP understands the wide-format business better than anyone, so this year we invested in the HP Latex 2700W for its versatility and for HP’s vision of a more sustainable future.” The new 3.2m (126”) wide HP Latex 2700 produces vivid colours at up to 89 m2/hr. (958 ft²/hr.) via symmetrical double printheads, which come equipped with automatic printhead cleaning technology. The 2700 will allow Lamcom to take on high-margin jobs with a 30% wider colour gamut at high speeds, preserving media gloss and feel across a wide range of signage and décor applications – including thin films, vinyl and paper.

HP Latex 2700W printers “offer the whitest white ink on the market” allowing users to produce high-margin applications on pre-coloured and transparent media. All printers in the Latex 2700 series run on 4th-generation HP Latex ink – bringing UL Ecologo Certification, while also meeting UL Greengaurd Gold and Toy Safety requirements. This will allow Lamcom to produce jobs for the most sensitive indoor environments. Additionally, the entire portfolio uses HP Eco-Carton – cardboard-based ink cartridges that reduce plastic waste by using 100% recycled and recyclable cardboard containers.

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    Figure 3 presents an example of a tag-based simulator where by states and steps are defined.
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    In Figure seven, the progress of brain instruction for a purpose on the number of iterations is shown. The “Intention Gratification” parameter can be a
    moving normal of coaching episodes, leading to the total
    number of goals being met.

    If Clune is true, using AI to make AI could be an important stage within the road that at some point causes artificial general
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    In many circumstances, people and AIs have complementary strengths.
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  14. The 2021 report would be the second in the series that will be produced every 5 years till
    2116. Titled “Gathering Energy, Gathering Storms,” the report
    explores the assorted approaches AI is increasingly touching people’s lives in settings that assortment from Motion picture tips and voice assistants to autonomous driving and automated
    medical diagnoses.

    Interstellar travel is exceedingly tricky, but we have
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    Deep learning. Deep learning makes use of huge neural networks with many
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    Hao agrees. She says it’s also helpful to keep in mind that AI development is very political and includes huge amounts of money and many
    factions of researchers with competing interests: “Sometimes
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    It’s this open-endedness, glimpsed in the evidently aimless sequence of challenges
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  16. Those people types of unpredicted emergent behaviors offer you tantalizing hints that AI may well get
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    You will find actually a lot of change even in 5 years. The first report is fairly
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    tolerate flaws, Primarily discriminatory kinds.

    In the previous few years, these machine designs have started to outstrip human types.
    In 2018, Esteban Real and his colleagues at Google used NAS to make
    a neural network for image recognition that defeat the best human-designed networks in the time.
    That was an eye fixed-opener.

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    Past year, Clune and his colleagues extended Finn’s technique to design an algorithm
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    learned Beforehand, a big unsolved difficulty in machine learning known as catastrophic forgetting.
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    The first approach, invented individually by Wang and her colleagues at
    DeepMind and by a team at OpenAI at within the similar time, uses recurrent
    neural networks. This type of network is often properly
    trained in such a way that the activations of their neurons—approximately akin on the firing of neurons in biological brains—encode any type
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    That’s artificial intelligence at work! It learns about your preferences
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    The rapid development of AI that can practice itself also raises questions
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    The concept of AI that builds better AI is
    a crucial part of the myth-making driving the “Singularity,” the imagined
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    The upshot is that the DeepMind and OpenAI systems do not learn an algorithm that resolve a
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    Cognitive computing. Cognitive computing incorporates a target for any human-like interaction with
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    Clune hopes these questions will be questioned and answered as
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  25. Passenger cars dominate the electrical vehicle marketplace,
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    These are The ten features we be expecting most of the automobile launches in 2022 will likely have.
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