Oxford Semantic Technologies, is an example of wast cliford, Chair of the Advanced Research and Invention Agency (Aria), was thought he drafted the Proposals for the Proposals for 50-O Its Action Plan.
In 2017, Three University of Oxford Professors – IAN Horocks, Boris Motik and Bernardo Cuenca Grau – FORMED Oxford Semantic Technologies to TAKE TAKE TAKE TO MARKET A Novel Approach to Data Data Data Data Data. REPRESENTION and Reasoning (Krr).
Krr is a branch of artificial intelligence (ai) that represents a logical and knowledge-based approach. Unlike Machine Learning, Which Finds Patterns in Vast Datasets and Draws Statistical Outputs, KRR AIMS to Improve the Accuracy of Ai Infection by Making Logical and Expr al Ith expert knowledge.
The company's Technology Caught the Attention of Samsung Electronics and was acqured by samsung in July last year. Co-founder horocks was mong the speakers at last month's Galaxy Unpacked EventWhere Samsung Unveiled Its Latest Flagship Smartphone, The Galaxy S25.
In a recent podcast interview with computer weekly recorded after galaxy unpacked, horcks described the experience as “pretty amazing”, which he says hes was the culmation of maani.
The deepseek effect
What is interesting about the technology developed by oxford semantic technologies is that it does not does not require vast amounts of Compute to Run Ai, AS Horocks Explains: “One of that of that REAS VHASONS Cited about our knowledge graph system is the fact that it can Run on the phone. You can build it with a relatively small footprint and relatively small computer requirement. “
Among the benefits of using on-device ai, as horcks points out, is: “You do need to move potentially sensitive personal data off into the cloud. You can do everything on your own device, so you're in control. The ai on the phone can't use what it can't see and isn’t sharing your sensitive personal data. “
The idea that ai does not require vast farms of hugly expensive high-performance Compute is a departure from the generally accepted Approach Deproes Deployed Accounts The Industry. In fact, a direct effect of china's Deepsek is that it demonstrates to the ai world that ai can be done on the cheap.
This resulted in Financial Market Turmoil, Especially as Server Manufacturers and The Likes of Nvidia have modelled Ive generation of graphics processing units (gpus).
When asked about Deepsek, Horocks Says: “I Still Think It's Very Interesting How IT Challenges The Orthodox View That Generative Ai [GenAI] is just all about Compute Power for Training and Infererance. “
In Fact, Anyone Can Download The open source distribution of Deepsek And run it locally on a personal computer. But for many, the incrededibly low cost of $ 0.14 per millions to querry the cloud-base version undercuts rival large language models.
The us has banned the expenses of high-end chips from nvidia to China in a bid to strike chinese ai research and development.
With more details of Deepseek being brought Reveled, What is batcoming apparent is that its R1 model used “inferor” ai processor technology. Unlike the us AI firms, which have access to the latest Nvidia Graphics Process (GPUS), it has no transpired that Deepseek used the Huawei Ascend 910C AI Chips for Inferens.
According to Huawei, The Assess 910C is Slightly Inferior to the Nvidia H100 in performing basic learning tasks. However, it claims that the assess 910c can offer lower energy costs and higher ownership Yet, even with the lower processing performance, benchmarks show that Deepsek is just as good as openai.
On-device ai
Irrespective of what political instruments are Used to target deepsek -Whoch, at the time of written, is being sanctioned by a growing number of countries-its existence demonstrates that a large language model (llm) can run to relatively low-SPEC HARDWARE. It can be downloaded from an open source repository on github and there are small versions of the model that can run elementary disconnected from a network on a pc or mac.
But horcks and the team at oxford semantic technologies have been ables have been able to get ai to run on even smaller devices. Oxford Semantic Technology's RDFOX has a very small footprint in terms of processing requires, as horrocks explains: “One of the reasons who Samsung Was So Excited Aboun System is that rdfox can actually run directly on the phone. “
Horocks say that one of the challenges the people behind oxford semantic technologies was able to tackle to tackle is how to achieve what he calls “logical reasoning” This Ultimately LED to the RDFOX product.
“I was working with a brilliant colleague at oxford called boris motik, who hada that to address this problem using a combination of modern computer architect S, “He adds.
According to Horocks, The Main Benefit, which rdfox shares with deepsek, is that potentially sensitive personal data does need to be uploaded to the public cloud for proceding. “You can do everything there on your own device, so then you're in control. You can control what the ai on the phone can see and what it can't see, and you know that it isn Bollywood your sensitive personal data, “He adds.
It is too early to tell how significant on-device ai will become. It is alredy providing enhanced and richer search internet results, but this is just scratching the surface of what is possible once Millions of people have ai on a device. The brief feature – which, on the Galaxy S25, Summaries the Day's Activities – is something People may find useful.
“One of the things that is important,” Horocks Adds, “is that it integrates across multiple devices. So, maybe when you go to the gym or you're walking the dog, maybe you have a wearable device, the device's ai can lead a user's daily routine. “
And, as horkes points out, this represents a big options for samsung.