Yes it is more than nothing but it is only 63k€ or ~A$104,500.
www.datanami.com
How Neuromorphic Processing and Self-Searching Storage Can Slash Cyber Risk for Federal Agencies
The amount of information organizations must process at the edge has exploded. This is especially true for federal agencies and the military, which
Here’s how neuromorphic processing can transform cyber risk at the edge. Start with a neuromorphic processing unit (NPU) built on a high-end field-programmable gate array (FPGA) integrated circuit customized to accelerate key workloads. Add a few dozen terabytes of local SSD storage. The result is an NPU-based, self-searching storage appliance that can perform extremely fast searches of very large datasets – at the edge and at very low power.
Just how quickly can NPU technology search a large dataset? Combine multiple NPU appliances in a rack, and you can search 1 PB of data in about 12 minutes. To achieve that result with traditional technology, you’d need 62 server racks – and a very large budget. In testing, the NPU appliance rack requires 84% lower CapEx, 99% lower OpEx, and 99% less power.
Making the Use Case for NPU Appliances
The NPU search technology was developed in collaboration with Sandia National Laboratories, an R&D lab of the Department of Energy. Today Sandia is actively using multiple NPU systems for cyber defense and other use cases.
There are other potential use cases for an NPU appliance. For instance, one Fortune 50 company used the technology for data labeling to train a machine learning algorithm. The organization reduced the time required from one month to 22 minutes. In the meantime, for federal agencies and the military, neuromorphic processing and self-searching storage is an achievable, cost-effective solution for protecting sensitive data and slashing cyber risk at the edge.
www.quantumventura.com
Sandia use Intel Loihi“The NPU search technology was developed in collaboration with Sandia National Laboratories, an R&D lab of the Department of Energy. Today Sandia is actively using multiple NPU systems for cyber defense and other use cases.”
Interesting considering our relationship with Quantum Ventura
Quantum Ventura Inc
Quantum Ventura Inc specializes in AI/Machine Learning, Cyber & Mobile Security, Big Data Analytics. Quantum Research Labs undertakes advanced system research.
Department of Energy: "Cyber threat-detection using neuromorphic computing" - SBIR Phase 1
I wonder how that’s going for them…
Hopefully they’ll come around to us. I’m sure they’ve heard good things….
I dunno B.
I still feel a good chance Qualcomm is using our technology. Otherwise why Qualcomm approached prophesee and done a partnership after prophesee becomes partner to brainchip. Qualcomm could had approached prophesee before us and closed those doors to brainchip a lot more earlier.
Timely discussion and considerations on IP.I dunno B.
Either we are in there somehow, or Qualcomm has found another method for achieving similar results?
What Cristiano is describing sounds very like what we do.
Hopefully we are somehow deeply embedded in their process and as with a myriad of applications coming to market soon, all we'll initialy know off, is the resultant revenue stream.
At this point in the marketing cycle, if I had an extraordinary product hoping to get the jump on my competition, and it was enhanced by Akida, which is also available COTS to anyone out there with the dollars and good intent, I wouldn't be openly discussing my secret sauce and would be obfuscating as required in order for the market to believe we are the golden child.
Of course it may be that we have no involvement in the Qualcomm product and end up in competition or in litigation with them, but these too, are likely scenarios in our future.
Even 50% of the estimated trillion dollar AIoT market will buy us enough kitty litter, green goblin boots and tinned tuna to fill our yachts many times over.
techcrunch.com
Hmmmmm..........c'mon IFS.....ya know ya wanna FFS
From a few hours ago.
JULY 27, 2023 BY LIDIA PERSKA
Intel CEO: AI to be Integrated into All Intel Products
Intel CEO Pat Gelsinger announced during the company’s Q2 2023 earnings call that Intel is planning to incorporate artificial intelligence (AI) into every product it develops. This comes as Intel prepares to release Meteor Lake, its first consumer chip with a built-in neural processor for machine learning tasks.
Previously, Intel had hinted that only their premium Ultra chips would feature AI coprocessors. However, Gelsinger’s statement suggests that AI will eventually be integrated into all of Intel’s offerings.
Gelsinger often emphasizes the “superpowers” of technology companies, which typically include AI and cloud capabilities. However, he now suggests that AI and cloud are not mutually exclusive. Gelsinger points out that certain AI-powered tasks, such as real-time language translation in video calls, real-time transcription, automation inference, and content generation, need to be done on the client device rather than relying on the cloud. He highlights the importance of edge computing, where AI processing occurs locally, rather than relying on round-tripping data to the cloud.
Gelsinger envisions AI integration in various domains, including consumer devices, enterprise data centers, retail, manufacturing, and industrial use cases. He even mentions the potential for AI to be integrated into hearing aids.
This strategy is crucial for Intel to compete with Nvidia, the dominant player in AI chips powering cloud services. While Nvidia has seen immense success in the AI market, Intel aims to find its own path by integrating AI into their products. This aligns with the growing demand for edge computing and the desire for more localized AI processing.
Furthermore, Gelsinger’s remarks highlight the shift in the tech industry towards AI-driven innovation. Microsoft, for example, has embraced AI, with the forthcoming Windows 12 rumored to integrate Intel’s Meteor Lake chip with its built-in neural engine. Similarly, Microsoft’s AI-powered Copilot tool is expected to revolutionize document editing.
Overall, Intel’s plans to incorporate
I agree, you want it in the market first then get the mass adoption, then everyone wants to know how, then the 2nd movers and so on start spruiking their products saying, “see we have the same revolutionary tech they have to make this amazing product”I dunno B.
Either we are in there somehow, or Qualcomm has found another method for achieving similar results?
What Cristiano is describing sounds very like what we do.
Hopefully we are somehow deeply embedded in their process and as with a myriad of applications coming to market soon, all we'll initialy know off, is the resultant revenue stream.
At this point in the marketing cycle, if I had an extraordinary product hoping to get the jump on my competition, and it was enhanced by Akida, which is also available COTS to anyone out there with the dollars and good intent, I wouldn't be openly discussing my secret sauce and would be obfuscating as required in order for the market to believe we are the golden child.
Of course it may be that we have no involvement in the Qualcomm product and end up in competition or in litigation with them, but these too, are likely scenarios in our future.
Even 50% of the estimated trillion dollar AIoT market will buy us enough kitty litter, green goblin boots and tinned tuna to fill our yachts many times over.
Hi Bravo,
Great. Now we have Patent Trolls to add into the mix.Timely discussion and considerations on IP.
Article from a few hours ago makes an interesting read as there are some sharks out there that aren't necessarily a competitor.
Discusses instances moving into the AI IP arena now.
Hadn't been aware of this element of industries re IP.
The anatomy of a patent litigation target | TechCrunch
What does a patent litigation target look like in 2023? And is there anything that might make one startup more at risk of lawsuits?
