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Real Time Systems


Security Think Tank: Artificial intelligence will be no silver bullet for security

#artificialintelligence

Undoubtedly, artificial intelligence (AI) is able to support organisations in tackling their threat landscape and the widening of vulnerabilities as criminals have become more sophisticated. However, AI is no silver bullet when it comes to protecting assets and organisations should be thinking about cyber augmentation, rather than just the automation of cyber security alone. Areas where AI can currently be deployed include the training of a system to identify even the smallest behaviours of ransomware and malware attacks before it enters the system and then isolate them from that system. Other examples include automated phishing and data theft detection which are extremely helpful as they involve a real-time response. Context-aware behavioural analytics are also interesting, offering the possibility to immediately spot a change in user behaviour which could signal an attack.


New glove translates sign language to speech in real time

The Independent - Tech

Bioengineers have designed a glove that is able to translate American Sign Language to speech in real time. The glove has thin, stretchable sensors inside which run to the fingertips. These sensors are able to pick up and motions and finger placement through electrically conducting yarns. Those sensors are then connected to a small piece of circuit board – approximately the size of a coin – that users wear on their wrists. As such, when people move their hands and fingers to sign words, the glove is able to translate the individual letters, numbers, words and phrases into spoken words.


Empowering Digital Twins with Streaming Analytics

#artificialintelligence

Combining intelligent streaming analytics with real-time digital twins for aggregate analysis offers several benefits in a variety of real-world applications. Digital twins are finding broader use and playing a more important role in innovation. Many digital twins rely on continuous intelligence (CI) and artificial intelligence (AI) to ingest streams of data from sensors. The real-time analysis of that data use then used to make sense of current conditions, the status of different elements in a system, and determine what actions should be taken (if any). Their rising importance was noted in a recent MIT Sloan Management Review article.


Spiketrap Announces $3M Seed Funding to Help Brands

#artificialintelligence

Spiketrap, an AI-powered consumer intelligence platform, announces that it has closed a $3M seed round led by Susa Ventures with participation from 645 Ventures, Pathbreaker Ventures, Oceans Ventures, WndrCo, SV Angel, Anorak Ventures, Harry Stebbings of 20VC, as well as strategic angels. Ninety percent of all data on the internet is unstructured, and brands that neglect this data are making major decisions on a fraction of total information. Spiketrap's AI-powered platform enables companies and brands to understand conversations at scale in real-time, accelerating customers' speed-to-insight and providing rich data for data-driven decision-making. Its proprietary technology is capable of ingesting massive amounts of data in real-time and to contextually understand what is being discussed while eliminating spam and noise. "As an investor, I've never seen a product become indispensable for the top companies in an industry so quickly," says Leo Polovets, Co-Founder and General Partner, Susa Ventures.



Security first: Your AI is so easy to hack …

#artificialintelligence

AI is becoming mainstream, embedded into more and more applications of everyday life. From healthcare and finance to transportation and energy, the opportunities appear endless. Every sector is ripe with opportunities for time, money, and other resources savings, and AI provides many solutions. Yet critical questions remain unanswered related to AI security. How are IT organizations managing AI security as it scales to the enterprise, and do you have the audit functionality to answer questions of regulators?


Software Developer - C / C++ / Fortran

#artificialintelligence

A great role has popped up in Edinburgh for a Software Developer to join a close knit, cross-functional team working on some of the most exciting projects out there. So if your current role's missing the kind of varied and interesting workload, great office culture, ongoing career progression opportunities and other perks that our long-standing client will offer you from the outset, then get your CV in before this is snapped up! If you're an experienced Software Developer / Software Engineer with skills across C, C and/or Fortran as well as ideally some background exposure to algorithm development, interface design, and complex real-time systems, our client wants you on board. This role would be particularly suited to someone with interests in developing complex models and GIS systems, data visualisation technologies, and even Machine Learning/Artificial Intelligence! Abrecco's client is a well established, global organisation with offices in central Edinburgh who look after and reward their employees on merit.



How Edge AI is a Roadmap to Future AI and IoT Trends?

#artificialintelligence

Change has always been integral to development. With fast-evolving technologies, companies, too, need themselves to embrace these for maximized benefits. Artificial Intelligence (AI) moving to edge IoT devices and networks, just like we witnessed computing switch from mainframes to the cloud. And as data continues to grow, we need to opt for data storage and data computation to be located on the device. Companies like Qualcomm, NVIDIA, and Intel are helping us achieve this reality.


Learning for dynamics and control conference

AIHub

The second conference on learning for dynamics and control (L4DC) was held on 11-12 June. In their introduction to the conference, the organisers write that "over the next decade, the biggest generator of data is expected to be devices which sense and control the physical world." They note that this explosion of real-time data from the physical world requires a rapprochement of areas such as machine learning, control theory, and optimization. The overall goal for the conference is to create a new community of people that think rigorously across the disciplines, ask new questions, and develop the foundations of this new scientific area. The live streams of the conference were made available to all and included invited talks and contributed talks.