The historic ocean liner SS United States, whose fate had been in limbo for years, will begin its transition into the world's largest sunken artificial reef beginning this week in Philadelphia, its owner says.

The rapid shift to tech-driven, remote learning this spring has infused more technology into K-12 education, but AI tools still remain on the fringe.

Shiaoching Gong
Sep 12, 2007; 27:9817-9823
Toolbox

Scientists have created thin polymer sheets that expand and contract when in contact with water

When Mount Vesuvius erupted in 79 C.E., it covered the ancient cities of Pompeii and Herculaneum under tons of ash. Millennia later, in the mid-18th century, archeologists began to unearth the city, including its famed libraries, but the scrolls they found were too fragile to be unrolled and read; their contents were thought to be lost forever. Only now, thanks to the advent of artificial intelligence and machine learning, scholars of the ancient world have partnered with computer programmers to unlock the contents of these priceless documents. In this episode of “There’s More to That,” science journalist and Smithsonian contributor Jo Marchant tells us about the yearslong campaign to read these scrolls. And Youssef Nader—one of the three winners of last year’s “Vesuvius Challenge” to make these clumps of vulcanized ash readable—tells us how he and his teammates achieved their historic breakthrough. Read Smithsonian’s coverage of the Vesuvius Challenge and the Herculaneum scrolls here (https://www.smithsonianmag.com/smart-news/three-students-decipher-first-passages-2000-year-old-scroll-burned-vesuvius-eruption-180983738/) , here (https://www.smithsonianmag.com/history/buried-ash-vesuvius-scrolls-are-being-read-new-xray-technique-180969358/) , and here (https://www.smithsonianmag.com/history/archaeologoists-only-just-beginning-reveal-secrets-hidden-ancient-manuscripts-180967455/) . Find prior episodes of our show here (https://www.smithsonianmag.com/podcast/) . There’s More to That is a production of Smithsonian magazine and PRX Productions. From the magazine, our team is Chris Klimek, Debra Rosenberg and Brian Wolly. From PRX, our team is Jessica Miller, Adriana Rosas Rivera, Genevieve Sponsler, Rye Dorsey, and Edwin Ochoa. The Executive Producer of PRX Productions is Jocelyn Gonzales. Fact-checking by Stephanie Abramson. Episode artwork by Emily Lankiewicz. Music by APM Music.

John Hopfield and Geoffrey Hinton shared the award for their work on artificial neural networks and machine learning

Penn State’s Center for Socially Responsible Artificial Intelligence (CSRAI) will host “Diagnose-a-thon,” a competition that aims to uncover the power and potential dangers of using generative AI for medical inquiries. The virtual event will take place Nov. 11-17 with top prizes of $1,000.  

While some were writing Sandton's obituary during the height of the Covid-19 pandemic, when the work-from-home phenomenon became the norm, others - like its property owners and businesses - were planning its revival.

The IBM Foundation has launched a website called Teacher Advisor with Watson, which uses artificial intelligence to find high-quality elementary math resources and lessons.

Kerry Cunningham of SiriusDecisions talks about how AI can power the B2B revenue engine

The Delaware Department of Education has developed guidance for districts and charter schools on generative artificial intelligence (AI) in the classroom.

Hi all, I've trained a device model with the approach of an artificial neural network, and it shows well fit. 

May I know how to transfer the trained model to Verilog-A, so that, we can use this model to do circuit simulation?

And I've searched for some lectures that provide the Verilog-A code in the appendix, but I'm freshman in the field of Verilog-A, 

could anyone tell me each statement? such as

real hlayer-w[0:(NI*NNHL)-1   

In an era of abundant and constantly evolving information, the challenge is not just accessing knowledge but understanding and applying it effectively. AI is a transformative technology that is reshaping how we learn, work, and grow. In this blog, we’ll explore how AI accelerates our knowledge acquisition and understand how it can relate to the process of learning, which connects with our daily lives.

The role of AI is to accelerate knowledge by personalizing learning experiences, providing instant access to information, and offering data-driven insights. AI empowers us to learn more efficiently and effectively in many ways. I won't go into much detail, as we are already busy searching for the meaning of AI and what it can do; however, I want to share one inspiring fact about AI. It can analyze vast amounts of data in seconds, making sense of complex information and providing instantaneous actionable insights or concise answers. I understand that humans are looking to speed up things, which can help us understand technology better and perform our tasks faster.

The main reason AI is in focus is because of its ability to perform tasks faster than ever. We aim to enhance the performance of all our products, including the everyday household electronic items we use. Similarly, are we striving to accelerate the learning process? I am committed to assisting you, and one such method is concise, short (minute-long) videos.

In today's fast-paced world, where attention spans are shorter than ever, the rise of social media platforms has made it easier for anyone to create and share short videos. This is where minute videos come in. These bite-sized clips offer a quick and engaging way to deliver information to the audience with a significant impact. Understanding the definitions of technical terms in VLSI Design can often be accomplished in just a minute.

Below are the definitions of the essential stages in the RTL2GDSII Flow. For further reference, these definitions are also accessible on YouTube.

Want to Learn More?

The Cadence RTL-to-GDSII Flow training is available as both "Blended" and "Live" Please reach out to Cadence Training for further information.

And don't forget to obtain your Digital Badge after completing the training!

• You can check out a free Online Version of the training above, which is available 24/7 for all customers with a Cadence Learning ans Support Portal
• You will also have access to our Training Byte Library then which is full of hundres of troubleshooting videos, like the following: What is Digital Implementation?
• You can find more instructions how to get the best out of the Portal in this blog.
• If you would like to stay up-to-date with the latest news and information about Cadence trainings and webinars, subscribe to the Cadence Training emails.

Related Blogs

Training Insights – Why Is RTL Translated into Gate-Level Netlist?

Did You Miss the RTL-to-GDSII Webinar? No Worries, the Recording Is Available!

It’s the Digital Era; Why Not Showcase Your Brand Through a Digital Badge!

Binge on Chip Design Concepts this Weekend!

Artificial intelligence has more in common with ants than humans, says Neil Lawrence. Only by taking a more nuanced view of intelligence can we see how machines will truly transform society

Artificial Intelligence (AI) is poised to revolutionize family medicine, offering a transformative approach to achieving the Quintuple Aim. This article examines the imperative for family medicine to adapt to the rapidly evolving field of AI, with an emphasis on its integration in clinical practice. AI's recent advancements have the potential to significantly transform health care. We argue for the proactive engagement of family medicine in directing AI technologies toward enhancing the "Quintuple Aim."

The article highlights potential benefits of AI, such as improved patient outcomes through enhanced diagnostic tools, clinician well-being through reduced administrative burdens, and the promotion of health equity by analyzing diverse data sets. However, we also acknowledge the risks associated with AI, including the potential for automation to diverge from patient-centered care and exacerbate health care disparities. Our recommendations stress the need for family medicine education to incorporate AI literacy, the development of a collaborative for AI integration, and the establishment of guidelines and standards through interdisciplinary cooperation. We conclude that although AI poses challenges, its responsible and ethical implementation can revolutionize family medicine, optimizing patient care and enhancing the role of clinicians in a technology-driven future.

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the practice of family medicine. The specialty is fortunate to have leading experts in the field to guide us along the way. One such team of forward thinkers provides insights into where AI can take the specialty. Another article reports on how well AI performed on the American Board of Family Medicine In-Training Examination. In addition to AI, we have 3 articles that investigate the intersection of social needs and the practice of medicine. Four clinical review articles cover nonalcoholic fatty liver disease, headache treatments, single maintenance and reliever therapy for asthma, and the use of cannabis in the setting of chronic pain. The clinical research articles cover point-of-care hemoglobin A1c testing, continuous glucose monitoring, and screening for HIV. Another group of articles examines the profession of family medicine, covering topics ranging from how women family physicians negotiate their first jobs to the words we use to define primary care.

The pursuit of harnessing data for knowledge creation has been an enduring quest, with the advent of machine learning (ML) and artificial intelligence (AI) marking significant milestones in this journey. ML, a subset of AI, emerged as the practice of employing mathematical models to enable computers to learn and improve autonomously based on their experiences. In the pharmaceutical and biopharmaceutical sectors, a significant portion of manufacturing data remains untapped or insufficient for practical use. Recognizing the potential advantages of leveraging the available data for process design and optimization, manufacturers face the daunting challenge of data utilization. Diverse proprietary data formats and parallel data generation systems compound the complexity. The transition to Pharma 4.0 necessitates a paradigm shift in data capture, storage, and accessibility for manufacturing and process operations. This paper highlights the pivotal role of AI in converting process data into actionable knowledge to support critical functions throughout the whole product life cycle. Furthermore, it underscores the importance of maintaining compliance with data integrity guidelines, as mandated by regulatory bodies globally. Embracing AI-driven transformations is a crucial step toward shaping the future of the pharmaceutical industry, ensuring its competitiveness and resilience in an evolving landscape.

The aim of this study was to validate a previously developed deep learning model in 5 independent clinical trials. The predictive performance of this model was compared with the international prognostic index (IPI) and 2 models incorporating radiomic PET/CT features (clinical PET and PET models). Methods: In total, 1,132 diffuse large B-cell lymphoma patients were included: 296 for training and 836 for external validation. The primary outcome was 2-y time to progression. The deep learning model was trained on maximum-intensity projections from PET/CT scans. The clinical PET model included metabolic tumor volume, maximum distance from the bulkiest lesion to another lesion, SUV_peak, age, and performance status. The PET model included metabolic tumor volume, maximum distance from the bulkiest lesion to another lesion, and SUV_peak. Model performance was assessed using the area under the curve (AUC) and Kaplan–Meier curves. Results: The IPI yielded an AUC of 0.60 on all external data. The deep learning model yielded a significantly higher AUC of 0.66 (P < 0.01). For each individual clinical trial, the model was consistently better than IPI. Radiomic model AUCs remained higher for all clinical trials. The deep learning and clinical PET models showed equivalent performance (AUC, 0.69; P > 0.05). The PET model yielded the highest AUC of all models (AUC, 0.71; P < 0.05). Conclusion: The deep learning model predicted outcome in all trials with a higher performance than IPI and better survival curve separation. This model can predict treatment outcome in diffuse large B-cell lymphoma without tumor delineation but at the cost of a lower prognostic performance than with radiomics.

BACKGROUND AND PURPOSE:

Intracranial vessel wall imaging is technically challenging to implement, given the simultaneous requirements of high spatial resolution, excellent blood and CSF signal suppression, and clinically acceptable gradient times. Herein, we present our preliminary findings on the evaluation of a deep learning–optimized sequence using T1-weighted imaging.

BACKGROUND AND PURPOSE:

Recently, artificial intelligence tools have been deployed with increasing speed in educational and clinical settings. However, the use of artificial intelligence by trainees across different levels of experience has not been well-studied. This study investigates the impact of artificial intelligence assistance on the diagnostic accuracy for intracranial hemorrhage and large-vessel occlusion by medical students and resident trainees.

A new report by the global union Education International shows that AI can degrade the quality of education, worsen working conditions for teachers and provide inferior schooling for students.

The post Artificial Intelligence can cause fake education appeared first on rabble.ca.

Artificial intelligence has more in common with ants than humans, says Neil Lawrence. Only by taking a more nuanced view of intelligence can we see how machines will truly transform society

As artificial intelligence becomes more common in university classrooms, some professors are weighing the benefits — and downsides — of students using it for research projects.

People keep predicting that each wave of new technology will mean humans can put their feet up. It hasn't happened yet. Some economists and anthropologists who study the subject say even with the arrival of artificial intelligence, humans will remain integral to making the world go round.

From the busy cities to ocean waters, our need to illuminate the world has had some strange and tragic consequences

By Peter Tummino, CSO of Nimbus Therapeutics, as part of the From The Trenches feature of LifeSciVC  “Over the next five to 10 years, our goal is to become a company that’s leading the world in personalized medicines, a company

The post Medicinal Chemistry In The Age Of Artificial Intelligence appeared first on LifeSciVC.

medlinkSucralose/medlink, an artificial sweetener found in many zero-calorie food and drink products, escapes during wastewater treatment and affects

A new method of manufacturing dental crowns using generative medlinkartificial intelligence/medlink (AI) was developed by researchers from the Faculty

An medlinkartificial intelligence/medlink (AI) platform developed by the University of Surrey, in partnership with King's College London, Royal Surrey

Artificial intelligence tool for detecting skin cancer, which has outperformed existing methods in identifying suspicious lesions has been developed by scientists in the East of England (!--ref1--).

The kidney is a masterpiece. The development of the kidney is truly a beautiful process, says Alex Hughes, Assistant Professor of Bioengineering at Penn

It has happened sooner than expected. Scientists have managed to synthesize 1.08 million base pair chromosome of a modi

Dry Eye Disease (DED) is a prevalent ocular condition, impacting as many as 30% of individuals worldwide. Its onset can significantly impede the medlinkquality

Researchers have crafted an medlinkartificial intelligence (AI)/medlink model capable of discerning the optimal drug combination and timing for treating a bacterial infection.

medlinkArtificial Intelligence (AI)/medlink holds the potential for providing psychological first aid to address India's growing mental health concerns,

According to health experts, medlinkartificial intelligence/medlink (AI) is advancing cancer treatment, enhancing traditional methods like medlinkchemotherapy/medlink,

By harnessing medlinkartificial intelligence/medlink (AI) to assess retinal images, an international team aims to enhance medlinkcardiovascular

As artificial intelligence (AI) tools become more integrated into health care, recent research by Lucia Vitale, a doctoral candidate in the Politics Department

Climate change-fueled extreme weather, like devastating floods and prolonged droughts, frequently triggers outbreaks of diarrheal diseases, especially

Bengaluru-based biotech firm, Pandorum Technologies, has announced that it has developed artificial living tissue using 3D printing which performs the function of a human liver.

Artificial Intelligence (AI) proves as an inevitable tool in achieving Sustainable Development Goals (SDGs - 17 interlinked global goals for a better