In the last years, the number of IoT devices deployed has suffered an undoubted explosion, reaching the scale of billions. However, some new cybersecurity issues have appeared together with this development. Some of these issues are the deployment of unauthorized devices, malicious code modification, malware deployment, or vulnerability exploitation. This fact has motivated the requirement for new device identification mechanisms based on behavior monitoring. Besides, these solutions have recently leveraged Machine and Deep Learning techniques due to the advances in this field and the increase in processing capabilities. In contrast, attackers do not stay stalled and have developed adversarial attacks focused on context modification and ML/DL evaluation evasion applied to IoT device identification solutions. This work explores the performance of hardware behavior-based individual device identification, how it is affected by possible context- and ML/DL-focused attacks, and how its resilience can be improved using defense techniques. In this sense, it proposes an LSTM-CNN architecture based on hardware performance behavior for individual device identification. Then, previous techniques have been compared with the proposed architecture using a hardware performance dataset collected from 45 Raspberry Pi devices running identical software. The LSTM-CNN improves previous solutions achieving a +0.96 average F1-Score and 0.8 minimum TPR for all devices. Afterward, context- and ML/DL-focused adversarial attacks were applied against the previous model to test its robustness. A temperature-based context attack was not able to disrupt the identification. However, some ML/DL state-of-the-art evasion attacks were successful. Finally, adversarial training and model distillation defense techniques are selected to improve the model resilience to evasion attacks, without degrading its performance.

The Government of Kerala had increased the frequency of supply of free food kits owing to the pandemic, however, these items were static and not indicative of the personal preferences of the consumers. This paper conducts a comparative analysis of various clustering techniques on a scaled-down version of a real-world dataset obtained through a conjoint analysis-based survey. Clustering carried out by centroid-based methods such as k means is analyzed and the results are plotted along with SVD, and finally, a conclusion is reached as to which among the two is better. Once the clusters have been formulated, commodities are also decided upon for each cluster. Also, clustering is further enhanced by reassignment, based on a specific cluster loss threshold. Thus, the most efficacious clustering technique for designing a food kit tailored to the needs of individuals is finally obtained.

As 2022 comes to an end, EE Times is highlighting memorable stories from each of its editors over the past year. Today's spotlight is on Sally Ward-Foxton, a correspondent at EE Times. Sally covers AI topics for EE Times and the EE Times Europe magazine. She has spent the last 18 years writing about the electronics industry from London, U.K., and has written for Electronic Design, ECN, Electronic Specifier: Design, Components in Electronics, and many more. She holds a master's degree in Electrical and Electronic Engineering from the University of Cambridge.

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents. Critical business data remains unlocked in unstructured documents such as scanned images and PDFs, and trying to get humans to read this data or even legacy OCR is tedious, expensive, and error prone. This is why we launched Amazon Textract in 2019 to help you automate your tedious document processing workflows powered by AI. Amazon Textract automatically extracts printed text, handwriting, and data from any document.

Law makers ask President Obama for more water pumping from Sacramento Delta.

Being available now, will HAD play a role as a steppingstone to adoption of full L4 systems? And, if HAD has strong uptake, will it motivate the truck OEMs to accelerate their own rollout of such systems? In the near term, it will be fascinating to see what transpires with Traton and their U.S. subsidiary Navistar, now that their technology partnership with TuSimple is kaput. I'm quite certain they aren't sitting on their hands; they seek to have a strong play in the AV truck market as a strategic necessity. For highway operations, current efforts aim to automate the "ramp to ramp" long haul, augmented by transferring the load to human driven trucks for the last mile.

For our HTN Now: Citizen Transformation event we were joined by Ben Panton, Senior Digital Partnership Manager for NHS Arden and GEM Commissioning Support Unit, for a discussion on developments in home diagnostics, with focus on the latest trial plans and patient reactions and perceptions around remote diagnostics and artificial intelligence. Ben began by establishing some background information on NHS Arden and GEM CSU, explaining that they work with over 90 organisations across health and care systems such as local authorities, ICBs, trusts and primary care services. "I'm particularly focused on the digital transformation side of things," he said. "I've been in post for around six months now, working with colleagues across our digital and IT teams. Our particular focus within digital transformation service redesign has been working with potential partners such as the ICBs, to really understand their digital priorities and challenges, and how digital solutions can potentially mitigate some of the challenges that are being faced by the NHS, social care, and local authorities."

The robotics industry had its fair share of memorable moments in 2022. Here we take a look back at our picks for the most memorable robotics stories of the year. The list is comprised of moments that made us laugh and cringe, as well as moments that left us surprised or amazed at the capabilities of various robots. Please let us know in the comments what you'll remember most from 2022. Subscribe to The Robot Report Newsletter to stay updated on the robotics stories you need to know about.

The scip Blog Digest is a monthly released summary of the most important, thrilling and crazy posts from the international blogosphere. While reading this digest it remains very easy to keep up to date with the events of cybersecurity and advanced technology. Follow our team on Twitter and the company on LinkedIn, to get the most recent news. Base editing: Revolutionary therapy clears girl's incurable cancer Cyber attacks set to become'uninsurable', says Zurich chief Data breach at Social Blade confirmed. Do Users Write More Insecure Code with AI Assistants?

The tech giants that have shaped our lives, online and off, over the course of the 21st century have at last hit a wall. Amazon, Alphabet, Microsoft, Meta, and Apple all saw their valuations fall, sometimes precipitously. Many slashed their workforces; at least 120,000 tech workers lost their jobs this year. The myth of the genius founder, which insulated so many of these giants from so much criticism for so long, was debunked before our eyes. These companies, launched with promises to connect the world, to think different, to make information free to all, to democratize technology, have spent much of the past decade making the sorts of moves that large corporations trying to grow ever larger have historically made--embracing profit over safety, market expansion over product integrity, and rent seeking over innovation--but at much greater scale, speed, and impact.