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  1. #61
    Master Business & GPU Man Avatar de Enzo
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    E monto o PC dentro dele depois?
    Ideias sem Nexo e Provas do Tráfico de Hardware
    "que personifica o destino, equilíbrio e vingança divina." Dejá vú. Que cena!

  2. #62
    Tech Ubër-Dominus Avatar de Jorge-Vieira
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    Yep, auto bench table powered by nVidia
    http://www.portugal-tech.pt/image.php?type=sigpic&userid=566&dateline=1384876765

  3. #63
    Tech Ubër-Dominus Avatar de Jorge-Vieira
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    How GPUs Are Helping Map Worldwide Poverty

    Eradicating worldwide poverty by 2030 is the top goal on the United Nations’ sustainable development agenda, published late last year. But a lack of data has frustrated efforts to measure progress toward the goal. Most of those living in extreme poverty are in sub-Saharan Africa and Southern Asia, where accurate poverty data is scarce. A small team at Stanford University is changing that, one satellite image at a time.

    Machine learning expert Stefano Ermon partnered with food security specialists David Lobell and Marshall Burke, plus a couple Stanford engineering students, to turn Google Earth images into statistical poverty models. "We want to end extreme poverty, but we need a way to be able to measure whether we’re making progress or not," said Ermon, an assistant professor of computer science at Stanford.

    Using NVIDIA GPUs, the team trained a neural network to accurately predict poverty levels in sub-Saharan Africa from image features like roads, farmlands and homes. This work has placed Stanford among five finalists for NVIDIA’s 2016 Global Impact Award. Each year, we award a $150,000 grant to researchers using NVIDIA technology for groundbreaking work that addresses social, humanitarian and environmental problems.
    Noticia:
    http://www.hardocp.com/news/2016/03/...y#.Vvkvknr0Pug
    http://www.portugal-tech.pt/image.php?type=sigpic&userid=566&dateline=1384876765

  4. #64
    Tech Ubër-Dominus Avatar de Jorge-Vieira
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    Tesla could squeeze Nvidia



    Recruitment wars

    Tesla Motors,’ which has been poaching engineers from Apple and AMD, could be causing a few headaches for Nvidia.

    MKM analyst Ian Ing pointed out that Nvidia and Tesla have partnered in machine-learning which is the key to autonomous driving. Nvidia’s own automotive segment grew 80 per cent to $320 million in revenue.
    It had been known that Tesla is swiping Apple and AMD engineers, but the difficulty is that it also needs staff from its old chum Nvidia. Ing said that Apple and AMD staff are not as steeped in graphics processing units and machine learning as Nvidia’s staff.
    “Although there are widely reportedly headlines that Tesla has been hiring chip architects from Apple and AMD, we note that expertise has been focused more on multi-purpose application processors vs. the GPU accelerators necessary for machine learning,” Ing wrote.
    This could either pressure Nvidia to work more closely with Tesla, or it too might lose staff to the carmarker. However that might be a small headache for Nvidia which is doing obscenely well, according to Ing. He is suggesting everyone should buy Nvidia shares.
    Noticia:
    http://www.fudzilla.com/news/40360-t...squeeze-nvidia
    http://www.portugal-tech.pt/image.php?type=sigpic&userid=566&dateline=1384876765

  5. #65
    Tech Ubër-Dominus Avatar de Jorge-Vieira
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    Nvidia Wants Qualcomm To Compensate Its $352 Million Icera Failure Court Hearings Reveal

    When it comes to mobile hardware and processors, US manufacturer Qualcomm has been comfortably dominating the industry for quite a while. Not only does the company manufacture the Snapdragon lineup of chipsets, that are present in almost every mainstream Android smartphone, flagship or other, out there, but its other offerings, including wireless modules, patents and more make sure that it maintains a strong market position.
    GPU manufacturer Nvidia on the other hand has been making its presence known PC hardware sphere, particularly after yesterday’s GTC 2016. We saw the company showcase its Pascal architecture on board the P-100, alongside a couple of other launches that should keep things nice and interesting for some time. Nvidia’s also been at odds with Qualcomm for quite a while, claiming that the latter uses its market position unfairly and today we’ve got some more news for you on this front.

    Nvidia Accuses Qualcomm Of Mobile Chip Monopoly; Demands Compensation For Unfair Practices

    When it comes to allegations of unfair practices with respect to its market share, Qualcomm’s been in the news for quite a while now. The US chip giant has seen accusations from a variety of quarters claiming that due to its aggressive industry strategies, competition and smaller manufacturers have been suffering. Nvidia’s made similar claims as well and today we get to learn some more details on the matter.
    As the GTC was underway yesterday, details about Nvidia’s court hearings against Qualcomm in London were also starting to make rounds. The chip maker claims that Qualcomm’s abuse of its dominant position in the mobile processor market has forced it to quit its own plans for similar technology, making it incur substantial losses in the process.
    To recap, in 2011 Nvidia spent $352 million to acquire soft modem tech firm Icera. It was however forced to terminate things just four years after in 2015, alleging that Qualcomm’s aggressive pricing strategies forced it out of competition and made it incur significant losses.
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    According to Nvidia, Qualcomm’s aggressive and unfair market tactics led to “unexplained delays in customer orders, reductions in demand volumes and contracts never being entered into, even after a customer or mobile network cooperating with a prospective customer has agreed or expressed a strong intention to purchase”.
    The US chipmaking giant has already faced similar accusations of selling its modem chips below their costs of development and production in order to drive out smaller competitors from the market. While Qualcomm is able to absorb losses which it incurs from such moves owing to the massive revenues it earns from patents and other products, the resulting impact from such decision leaves other, smaller companies in more difficult situations.
    Whether Nvidia will prevail over Qualcomm in this alleged ”unlawful abuse of dominance”, we’ll find out soon enough. Things aren’t looking that well for the US chipmaker however as the amount of similar allegations piles up. Thoughts? Let us know what you think in the comments section below and stay tuned for the latest.
    Via


    http://www.portugal-tech.pt/image.php?type=sigpic&userid=566&dateline=1384876765

  6. #66
    Tech Ubër-Dominus Avatar de Jorge-Vieira
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    How AI Can Predict Cardiac Failure Before It’s Diagnosed

    AI and NVIDIA are playing a growing role in advancing healthcare around the country. NVIDIA announced last week that it’s working with Massachusetts General Hospital to apply the latest AI techniques to improve disease detection, diagnosis, treatment and management. The team analyzed electronic health records from more than 265,000 Sutter Health patients. From these, it studied 3,884 patients with heart failure and about 28,900 patients as a control group. Researchers analyzed the records using deep learning, a type of artificial intelligence that can solve complex technical problems like face or speech recognition — sometimes even topping human performance.
    Noticia:
    http://www.hardocp.com/news/2016/04/...d#.Vw0wtHr0Pug
    http://www.portugal-tech.pt/image.php?type=sigpic&userid=566&dateline=1384876765

  7. #67
    Tech Ubër-Dominus Avatar de Jorge-Vieira
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    Oxford Researchers Win GPU Center of Excellence Achievement Award

    Researchers from the University of Oxford won the fifth annual Achievement Award for NVIDIA GPU Centers of Excellence in recognition of their work using GPUs to speed the analysis of the human brain’s underlying anatomical and structural organization.The team, led by Mike Giles, received the top award, along with a $15,000 cash prize, for their work applying GPU acceleration to tractography, a 3D modeling technique for investigating human brain connections. With GPUs handling the immense computing load, the team was able to double the speed of analysis of diffusion MRI (dMRI), a widely used method to reveal the wiring diagram of the brain and estimate tissue microstructures. The Oxford team’s work is aimed at improving the investigation of neurological and psychiatric diseases — such as multiple sclerosis, schizophrenia and Alzheimer’s disease — and has the potential to improve the clinical applicability of dMRI. A panel of experts selected three other teams from top universities as finalists from among our 23 GPU Centers of Excellence.
    Noticia:
    http://www.hardocp.com/news/2016/04/...d#.Vw5wVHr0Pug
    http://www.portugal-tech.pt/image.php?type=sigpic&userid=566&dateline=1384876765

 

 
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