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<DIV><div><p>This partnership comes in the wake of new UN regulations that require heightened cybersecurity measures for vehicles. </p><p><span>March 28, 2025</span></p><!-- sarticle-actions start --><!-- .gdm-article-actions --> <!-- article-actions end --></div><div><div><figure><picture><source media="(min-width: 990px)" srcset="https://www.

just-auto.com/wp-content/uploads/sites/30/2025/03/j1-shutterstock_702006307-1-770x433.jpg"><source media="(min-width: 430px)" srcset="https://www.just-auto.com/wp-content/uploads/sites/30/2025/03/j1-shutterstock_702006307-1-940x528.jpg"><img src="https://www.just-auto.com/wp-content/uploads/sites/30/2025/03/j1-shutterstock_702006307-1-430x241.

jpg" alt=""></picture><figcaption>Clavister’s AI and machine learning capabilities will be integrated with NXP’s i.MX 9 platform. Credit: metamorworks/Shutterstock.</figcaption></figure></div><p>Swedish cybersecurity company Clavister has partnered with NXP Semiconductors to develop AI-driven cybersecurity solutions for the automotive industry.

</p><!-- sponsored-whitepaper sponsored hidden sponsored-with-form --><p>This collaboration comes in the wake of new UN regulations that demand heightened cybersecurity measures for vehicles.</p><p>Utilising Clavister’s AI technology within NXP’s OrangeBox Automotive Connectivity Domain Controller Development Platform, the collaboration seeks to secure connected vehicles by preventing malware intrusions and enabling real-time detection of cyber threats into automotive subsystems.

</p><p>Clavister CEO John Vestberg said: “We are excited to be working with NXP Semiconductors, one of the most prominent leaders in the automotive industry, to explore how Clavister’s cutting-edge AI-based cybersecurity technology can be used to secure the connected vehicles of today and tomorrow.”</p><p>The integration of Clavister’s AI and machine learning capabilities with NXP’s i.

MX 9 platform is designed to identify denial-of-service attacks by analysing vehicle network traffic.</p><p>This move aims to fortify the security of next-generation vehicles against the increasing threat of cyberattacks.</p><p>NXP Semiconductors automotive edge processing, global product marketing, senior director Jim Bridgwater said: “With the increasing adoption of connected services, vehicles are more vulnerable to cyberattacks than ever.

</p><p>“This growing threat demands sophisticated cybersecurity solutions capable of identifying and preventing new attack vectors. Our collaboration with Clavister brings advanced AI-powered attack detection to the OrangeBox ecosystem, empowering automakers to build AI-driven telematics with robust security against cyber threats.

”</p><p>The urgency for enhanced cybersecurity in the automotive sector has been underscored by the introduction of UN Regulation No. 155 by the United Nations Economic Commission for Europe (UNECE).</p><p>This regulation mandates cybersecurity management systems for vehicle manufacturers to protect against cyber risks throughout a vehicle’s lifecycle.

</p><p>In light of these regulatory pressures, automotive companies are actively seeking advanced cybersecurity solutions.</p><!-- sponsored-whitepaper sponsored hidden sponsored-with-form --><!-- Newsletter banner start --><!-- <link rel="stylesheet" href=""> --><!-- Newsletter banner end --></div></DIV>

<DIV><section data-editable="main" data-track-zone="main" data-reorderable="main"> <article data-uri="cms.cnn.com/_components/article/instances/cm8s5hizb004q2cp2dxfj3tce@published" role="main" data-drag-disable="true" data-unselectable="true" data-regwall-disabled="false" data-subscription-only="false" data-paywall-disabled="false"><section data-tabcontent="Content"><main><div data-editable="content" itemprop="articleBody" data-reorderable="content"><p><cite><span data-editable="location"></span><span data-editable="source">CNN</span>&#160;—&#160;</cite></p><p data-uri="cms.

cnn.com/_components/paragraph/instances/cm8s5hizb004p2cp22ax2culj@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">Just days after OpenAI launched its most advanced AI image generator to date, a social media trend imitating the work of Japanese animation company Studio Ghibli is demonstrating both the technology’s power and the copyright concerns it raises.

</p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00013b5vauido25o@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">The latest update to GPT-4o, released Tuesday, features many practical advancements, including more accurate text rendering and the ability to follow more detailed, complex prompts.

But it has also been trained at length on a “vast variety of image styles,” according to a post on OpenAI’s website, stunning users with its ability to generate still images and videos reminiscent of their favorite animations, from “South Park” to classic <a href="https://x.com/BennettWaisbren/status/1905247775190864381" target="_blank">claymation.

</a></p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00023b5v0i7mwj0j@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">But one style quickly flooded X and Instagram, as users of ChatGPT (and OpenAI’s text-to-video service, Sora) began emulating the work of beloved animation studio behind movies like “Spirited Away” and “Howl’s Moving Castle.

”</p><div data-editable="settings" data-url="https://media.cnn.com/api/v1/images/stellar/prod/mmdspaw-ec001.jpg?c=original" data-original-width="2790" data-original-height="1508" data-original-ratio="0.5405017921146953" data-observe-resizes="" data-component-name="image" data-name="MMDSPAW_EC001.jpg" data-uri="cms.

cnn.com/_components/image/instances/cm8s83htw00023b5vqtat4k18@published" data-image-variation="image" data-breakpoints="{&quot;image--eq-extra-small&quot;: 115, &quot;image--eq-small&quot;: 300, &quot;image--eq-large&quot;: 660}"><picture><source height="1508" width="2790" media="(max-width: 479px)" srcset="https://media.

cnn.com/api/v1/images/stellar/prod/mmdspaw-ec001.jpg?q=w_680,c_fill/f_webp" type="image/webp"><source height="1508" width="2790" media="(min-width: 480px)" srcset="https://media.cnn.com/api/v1/images/stellar/prod/mmdspaw-ec001.jpg?q=w_1160,c_fill/f_webp" type="image/webp"><source height="1508" width="2790" media="(min-width: 960px)" srcset="https://media.

cnn.com/api/v1/images/stellar/prod/mmdspaw-ec001.jpg?q=w_1015,c_fill/f_webp" type="image/webp"><source height="1508" width="2790" media="(min-width: 1280px)" srcset="https://media.cnn.com/api/v1/images/stellar/prod/mmdspaw-ec001.jpg?q=w_1110,c_fill/f_webp" type="image/webp"><img src="https://media.cnn.

com/api/v1/images/stellar/prod/mmdspaw-ec001.jpg?q=w_1110,c_fill" alt="A still from 2001's &quot;Spirited Away&quot; of Haku (in dragon form) and Chihiro by Studio Ghibli." onload="this.classList.remove('image__dam-img--loading')" onerror="imageLoadError(this)" height="1508" width="2790" loading="lazy"></picture></div><p data-uri="cms.

cnn.com/_components/paragraph/instances/cm8s62yvy00033b5vkx1qh4f2@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">Some recreated scenes from pop culture or politics in the Japanese company’s iconic style, including a <a href="https://x.com/PJaccetturo/status/1905151190872309907" target="_blank">reworked trailer</a> for “The Lord of the Rings: The Fellowship of the Ring,” <a href="https://x.

com/timeimmemorial_/status/1905262678521582027" target="_blank">scenes</a> from “The Sopranos,” and Donald Trump and JD Vance’s heated real-life White House exchange with Ukrainian President Volodymyr Zelensky.</p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00043b5v3uathqhp@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">Unsurprisingly, some of the most viral posts put a Ghibli spin on popular memes, including the “<a href="https://x.

com/heyBarsee/status/1904891940522647662" target="_blank">distracted boyfriend</a>,” the “bro explaining” meme (pictured top) and the infamous image of <a href="https://x.com/venturetwins/status/1904915503505670246" target="_blank">Ben Affleck smoking</a>. Another viral X post depicted the platform’s owner, Elon Musk, <a href="https://x.

com/Jason/status/1905031350681321867" target="_blank">playing with cutlery</a> — an image based on the recent video of the billionaire balancing spoons during a dinner hosted by Trump in New Jersey.</p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00053b5vbtebwseu@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">Also widely shared, however, is a 2016 <a href="https://www.

youtube.com/watch?v=ngZ0K3lWKRc" target="_blank">video</a> in which Studio Ghibli co-founder Hayao Miyazaki describes AI-generated art as an “insult to life itself.” Miyazaki is known for his hand-drawn animation and painstaking frame-by-frame method.</p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00063b5v6yitjofr@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">“I am utterly disgusted,” he says in the video, responding to a video of a monster character generated using text prompts.

“If you really want to make creepy stuff, you can go ahead and do it, but I would never wish to incorporate this technology into my work at all.”</p><div data-editable="settings" data-url="https://media.cnn.com/api/v1/images/stellar/prod/2014-11-09t120000z-1478189358-gm1eab91hqd01-rtrmadp-3-film-governorsaward.

jpg?c=original" data-original-width="2096" data-original-height="1600" data-original-ratio="0.7633587786259542" data-observe-resizes="" data-component-name="image" data-name="2014-11-09T120000Z_1478189358_GM1EAB91HQD01_RTRMADP_3_FILM-GOVERNORSAWARD.jpg" data-uri="cms.cnn.com/_components/image/instances/cm8s87wip00043b5vljie78o5@published" data-image-variation="image" data-breakpoints="{&quot;image--eq-extra-small&quot;: 115, &quot;image--eq-small&quot;: 300, &quot;image--eq-large&quot;: 660}"><picture><source height="1600" width="2096" media="(max-width: 479px)" srcset="https://media.

cnn.com/api/v1/images/stellar/prod/2014-11-09t120000z-1478189358-gm1eab91hqd01-rtrmadp-3-film-governorsaward.jpg?q=w_680,c_fill/f_webp" type="image/webp"><source height="1600" width="2096" media="(min-width: 480px)" srcset="https://media.cnn.com/api/v1/images/stellar/prod/2014-11-09t120000z-1478189358-gm1eab91hqd01-rtrmadp-3-film-governorsaward.

jpg?q=w_1160,c_fill/f_webp" type="image/webp"><source height="1600" width="2096" media="(min-width: 960px)" srcset="https://media.cnn.com/api/v1/images/stellar/prod/2014-11-09t120000z-1478189358-gm1eab91hqd01-rtrmadp-3-film-governorsaward.jpg?q=w_1015,c_fill/f_webp" type="image/webp"><source height="1600" width="2096" media="(min-width: 1280px)" srcset="https://media.

cnn.com/api/v1/images/stellar/prod/2014-11-09t120000z-1478189358-gm1eab91hqd01-rtrmadp-3-film-governorsaward.jpg?q=w_1110,c_fill/f_webp" type="image/webp"><img src="https://media.cnn.com/api/v1/images/stellar/prod/2014-11-09t120000z-1478189358-gm1eab91hqd01-rtrmadp-3-film-governorsaward.jpg?q=w_1110,c_fill" alt="Japanese film director and animator Hayao Miyazaki poses during the Academy of Motion Picture Arts and Sciences Governors Awards in Los Angeles, California, in 2014."

onload="this.classList.remove('image__dam-img--loading')" onerror="imageLoadError(this)" height="1600" width="2096" loading="lazy"></picture></div><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00073b5v1ba6gk48@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">OpenAI’s updated image generator has also prompted renewed discussions over the role of AI and art.

It comes just weeks after nearly 4,000 people <a href="https://www.cnn.com/2025/02/11/style/christies-ai-auction-open-letter-tan/index.html">signed an open letter</a> calling on Christie’s auction house to cancel a first-of-its-kind sale dedicated solely to AI art over concerns that the programs used to create some generative digital pieces are trained on copyrighted work and exploit human artists.

</p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00083b5vrrqh0b0f@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">OpenAI’s CEO Sam Altman made light of the trend on X, <a href="https://x.com/sama/status/1904921537884676398" target="_blank">joking</a> that after “a decade trying to help make superintelligence to cure cancer or whatever” it was Studio Ghibli images that had generated viral interest in his work.

</p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy00093b5v50l0j2mv@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">“Mostly no one cares for first 7.5 years, then for 2.5 years everyone hates you for everything,” he wrote. “Wake up one day to hundreds of messages: ‘Look I made you into a twink Ghibli style haha’” Altman added, referring to a gay slang term for men who are young, boyish and slim.

</p><p data-uri="cms.cnn.com/_components/paragraph/instances/cm8s62yvy000a3b5vxfvc1mcb@published" data-editable="text" data-component-name="paragraph" data-article-gutter="true">As is often the case with AI-generated art, the images raise various copyright questions — not only around Studio Ghibli’s work but of the images being reimagined.

When CNN prompted ChatGPT to reproduce some of the Ghibli-style memes, the service refused, saying that ” the request didn’t follow our content policy.”</p><p data-uri="cms.cnn.com/_components/footnote/instances/cm8s5j3uj00083b6mml77kjar@published" data-editable="text" data-article-gutter="true">CNN’s Jacqui Palumbo contributed to this story.

</p></div></main></section></article></section></DIV>

<DIV><div datatype="content" data="datasource:20250326b58c44761c29477db4dd41cddf5728a0" id="detail"><p>A Pakistani agricultural expert has praised China for leading the world in agricultural technology, particularly in the use of AI, smart machinery, and other innovative solutions. #GLOBALink</p></div></DIV>

Cryo-EM analysis of designed de novo protein nanocages. Credit: POSTECH Researchers have developed an innovative therapeutic platform by mimicking the intricate structures of viruses using artificial intelligence (AI). Their pioneering research was published in Nature on December 18.Viruses are uniquely designed to encapsulate genetic material within spherical protein shells, enabling them to replicate and invade host cells, often causing disease.

Inspired by these complex structures, researchers have been exploring artificial proteins modeled after viruses.These "nanocages" mimic viral behavior, effectively delivering therapeutic genes to target cells. However, existing nanocages face significant challenges: their small size restricts the amount of genetic material they can carry, and their simple designs fall short of replicating the multifunctionality of natural viral proteins.

To address these limitations, the research team used AI-driven computational design. While most viruses display symmetrical structures, they also feature subtle asymmetries. Leveraging AI, the team recreated these nuanced characteristics and successfully designed nanocages in tetrahedral, octahedral, and icosahedral shapes for the first time.

The resulting nanostructures are composed of four types of artificial proteins, forming intricate architectures with six distinct protein-protein interfaces. Among these, the icosahedral structure, measuring up to 75 nanometers in diameter, stands out for its ability to hold three times more genetic material than conventional gene delivery vectors, such as adeno-associated viruses (AAV), marking a significant advancement in gene therapy.

Electron microscopy confirmed the AI-designed nanocages achieved precise symmetrical structures as intended. Functional experiments further demonstrated their ability to effectively deliver therapeutic payloads to target cells, paving the way for practical medical applications."Advancements in AI have opened the door to a new era where we can design and assemble artificial proteins to meet humanity's needs," said Professor Sangmin Lee.

"We hope this research not only accelerates the development of gene therapies but also drives breakthroughs in next-generation vaccines and other biomedical innovations."For this study, Professor Lee collaborated with 2024 Nobel Chemistry Laureate Professor David Baker from the University of Washington.

Professor Lee previously worked as a postdoctoral researcher in Professor Baker's laboratory for nearly three years, from February 2021 to late 2023, before joining POSTECH's Department of Chemical Engineering in January 2024.More information:Sangmin Lee et al, Four-component protein nanocages designed by programmed symmetry breaking, Nature (2024).

DOI: 10.1038/s41586-024-07814-1Journal information:Nature Citation:AI-designed 'nanocages' mimic viral behavior for enhanced gene therapy (2024, December 24)retrieved 24 December 2024from https://phys.org/news/2024-12-ai-nanocages-mimic-viral-behavior.htmlThis document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, nopart may be reproduced without the written permission.

The content is provided for information purposes only.

Source: DALL-E / OpenAIThe year 2025 may well mark a pivotal moment in the evolution of artificial intelligence (AI) in medicine. A new prepress study evaluating OpenAI’s GPT-4 and o1-preview model demonstrates that AI is not only achieving impressive feats in clinical reasoning but is doing so without supplemental training on domain-specific data.

This achievement represents a significant leap in what general-purpose large language models (LLMs) can accomplish, fueled by innovations in reasoning frameworks such as chain-of-thought (CoT) processing.The findings are both promising and provocative. On one hand, the o1-preview model excels in tasks requiring complex diagnostic and management reasoning, rivaling human clinicians.

On the other, it reveals critical gaps in probabilistic reasoning and triage diagnosis, areas where human expertise remains paramount. This duality raises important questions about how AI will integrate into medical workflows and redefine the role of clinicians.There's a lot to unpack here, and I suggest reading the study carefully as I'm only touching on some of the key points, particularly the results with the o1-preview model.

A Tale of Strengths and WeaknessesThe study evaluated the o1-preview model across five experiments, including differential diagnosis generation, diagnostic reasoning, triage differential diagnosis, probabilistic reasoning, and management reasoning. The results were adjudicated by physician experts using validated psychometrics, providing a benchmark for comparison against human controls.

StrengthsDifferential diagnosis generation: The o1-preview model achieved an 88 percent accuracy rate, far surpassing the 35 percent accuracy demonstrated by human clinicians in the same task. Its output was consistently rated as more comprehensive and precise, particularly in rare and complex diagnostic scenarios, where the model’s CoT reasoning allowed it to identify conditions often overlooked by clinicians.

Diagnostic and management reasoning: The o1-preview model displayed significant advancements in diagnostic and management tasks. In 84 percent of cases, the model’s reasoning was rated as on par with or exceeding that of human experts, who achieved comparable accuracy in only 64 percent of cases. Physicians praised the model’s structured and logical approach, which mirrored the stepwise critical thinking employed by clinicians and synthesized data from diverse clinical inputs to produce actionable recommendations.

LimitationsProbabilistic reasoning: The model struggled with tasks requiring nuanced probabilistic reasoning—a cornerstone of medical decision-making. While the o1-preview model’s performance was consistent with prior LLMs, human clinicians continued to excel in this area, demonstrating greater adaptability in assigning likelihoods to competing diagnoses and dynamically balancing risks in uncertain situations.

Triage differential diagnosis: No improvements were observed in triage tasks that require prioritizing cases by severity. While human clinicians achieved a 70 percent accuracy rate in these high-pressure, dynamic scenarios, the model’s logical but rigid outputs fell short, lacking the adaptive nuance required for real-time decision-making in emergency or critical care settings.

The Role of Chain-of-Thought ReasoningA standout feature of the o1-preview model is its reliance on chain-of-thought (CoT) reasoning, a framework that enables the AI to generate intermediate steps in its reasoning process before arriving at a final answer. This process allows the model to explain its thought process, making its outputs more transparent and easier for clinicians to interpret.

By breaking down complex problems into smaller steps, CoT reasoning reduces the risk of logical errors, particularly in tasks requiring critical thinking. Moreover, this approach mimics the way clinicians address diagnostic challenges—systematically considering symptoms, test results, and medical history to form conclusions.

The use of CoT reasoning may be an important factor in the model’s success with diagnostic and management reasoning, even as it struggles with the more dynamic aspects of clinical practice, such as triage.The Remarkable Absence of Supplemental Clinical TrainingAnother striking aspect of the o1-preview model is that it was not trained on supplemental clinical data.

Unlike earlier AI systems fine-tuned on medical data sets, o1-preview achieved its performance using general-purpose training. This accomplishment suggests that broad, general training data combined with advanced reasoning frameworks can rival domain-specific training, reducing the need for costly and time-intensive fine-tuning processes.

The absence of supplemental training also eliminates concerns about patient privacy, biased data sets, and overfitting to specific scenarios. However, it means the model’s performance is limited to patterns present in its general training data, leaving gaps in areas requiring contextual nuance. This highlights both the promise and the current limitations of generalist AI systems in specialized domains like healthcare.

The o1-preview model’s performance highlights both the promise and the limitations of LLMs in medicine. For clinicians, this study serves as a wake-up call: AI is no longer a futuristic concept—it’s here, and it’s redefining what is possible in patient care.AI as a partner: Models like o1-preview are not replacing clinicians but augmenting their capabilities.

They excel at tasks like differential diagnosis generation and management planning, freeing up clinicians to focus on patient interaction and decision-making.Closing the gaps: While o1-preview shines in structured reasoning tasks, its struggles with probabilistic reasoning and triage emphasize the irreplaceable value of human expertise.

These gaps point to opportunities for future AI development.The need for new benchmarks: Current evaluation methods, such as multiple-choice question benchmarks, fail to capture the complexity of real-world clinical scenarios. Robust, scalable benchmarks and clinical trials are essential to understand AI’s true potential in healthcare.

Digital Health and "Another" Inflection Point?The o1-preview model may represent a turning point in the integration of AI into medicine. And as we've heard this claim many times, its ability to perform superhuman reasoning tasks without supplemental clinical training is important—as an achievement and a challenge.

As AI continues to evolve, clinicians must adapt to this new reality, embracing AI as a cognitive partner while maintaining the human expertise that defines the art of medicine.2025 doesn't just represent a wake-up call; it may be the beginning of a new era. The question is no longer whether AI will transform medicine, but how clinicians and AI will work together to shape the future of healthcare.