and Arm have revealed their plans to establish collaboration with a view to integrate deep learning inferencing technology into consumer electronics, mobile, and Internet of Things devices that will be presented on the global marketplace.
Under the terms of this partner cooperation, NVIDIA and Arm will combine the capacities of the open-source (NVDLA) architecture and Arm’s platform for machine learning.
As a result, it will facilitate integration of AI technology into developments and designs of IoT chip companies. And moreover, this partnership will make intelligent, innovative products more available for a great number of consumers all over the world.
“Inferencing will become a core capability of every Internet of Things device in the future”, vice president and general manager of Autonomous Machines at NVIDIA Deepu Talla . As the Internet of Things itself is aimed at making simple objects that are around us every day smart and connecting them with the help of sensors, processors and other electronic items.
In his turn, Rene Haas, executive vice president, and president of the IP Group, at Arm, : “Accelerating AI at the edge is critical in enabling Arm’s vision of connecting a trillion IoT devices. Today we are one step closer to that vision by incorporating NVDLA into the Arm Project Trillium platform, as our entire ecosystem will immediately benefit from the expertise and capabilities our two companies bring in AI and IoT.”
NVDLA, that is the most powerful autonomous machine system on a chip in the world, is based on NVIDIA® Xavier™ AI chip. It represents itself a free and open architecture that is able to promote a standard way of creating deep learning inference accelerators. NVDLA’s modular architecture has such advantages as scalability, high configurability and capacity to facilitate portability and integration.
NVDLA can boast strong capacities to accelerate process of adoption of deep learning inference. It is possible due to appliance of NVIDIA’s powerful developer tools. Among these tools are upcoming versions of , that is a programmable deep learning accelerator. Thanks to the open-source design, cutting-edge innovative features as well as contributions and developments from the research community can be added on a regular base.
The integration of NVDLA with Arm’s Project Trillium will provide deep learning developers with the highest levels of performance as it will become possible to implement Arm’s flexibility and scalability to the wide range of IoT devices of different kinds.
Experts believe that it is one of the most promising and interesting ideas of NVIDIA among those that have been recently announced. NVIDIA usually is involved in AI developments that are implemented in such objects likes drones or robots. But in this case NVIDIA’s technology can be applied for much smaller devices as household equipment and smartphones. That’s why it is believed that this collaboration will really open new opportunities for the partners.
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Failure of a project is a natural and common thing when investing in startup ventures, especially when it comes to cutting edge technologies such as cryptocurrency applications. Doing due diligence won’t prevent failed investments made in good faith, but it can make sure to weed out projects that will raise obvious red flags if vetted thoroughly. In the case of Litepay, this has evidently not been done, and a lot of the community is now angry.
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Oops
The Litecoin Foundation has issued an announcement to the LTC community on Monday, informing them that Litepay has ceased all operations and that the CEO claims to be preparing to sell the company. This happened after the foundation questioned him about a lack of transparency and in return he asked for more funds to continue operations. The foundation refused any further funding as the CEO was “unable to provide a satisfactory picture of where the money had been spent and refused to go into exact details about the company and show objective evidence to back up his statements.”
The organization took responsibility for the incident, : “We are greatly disheartened that this saga has ended in this way and we apologize for not doing enough due diligence that could have uncovered some of these issues earlier. We are currently working hard to tighten our due diligence practices and ensure that this does not happen again.”
Litecoin creator Charlie Lee also twitted out a personal mea culpa on his part, saying: “Like everyone else, we got too excited about something that was too good to be true and we optimistically overlooked many of the warning signs. I am sorry for having hyped up this company and vow to do better due diligence in the future.” Despite this honest message, a large part of the LTC community is apparently not quick to forgive him, with top ranked social media posts questioning Charlie’s leadership and status in the wake of this debacle.
Crowd-Sourced Due Diligence
Litepay was supposed to be a LTC merchant payment processor and debit card that will greatly enhance the ease of spending for the cryptocurrency’s holders. What triggered the foundation to question the project was a disastrous Reddit AMA (ask me anything) by the CEO Kenneth Asare.
Asare got grilled during the , as he tried to evade questions and wasn’t able to provide satisfying answers to many concerns. He was accused of trying to run a one man show for a project that would require a whole team to complete. The project’s website also didn’t pass a simple inspection as many details were missing, raising allegations of being a scam. By doing this, the community was actually crowd-sourcing part the due diligence process of Litepay that needed to be done by the foundation beforehand.
How should cryptocurrency communities, organizations and investors make sure they vetted a project enough? Share your thoughts in the comments section below!
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