Over the last 20+ years, global society has adopted digital devices at scale, and consumer interaction behaviors continually evolve and mature. As analysts, we're uniquely positioned to notice worldwide trends, country-specific nuances and localized market behaviors that can have significant impact on our brand's business goals. This global scope is [...]

SAS Customer Intelligence 360: Enriching analysis with device usage data was published on Customer Intelligence Blog.

One of the wonderful aspects about my client-facing role at SAS is the breadth of audiences that I get to work with. No matter where you fall on this list: Data engineer. Business or marketing analyst. Citizen data scientist. Data scientist. Statistician. Executive. One topic is certain: We all love [...]

SAS Customer Intelligence 360: Automated explanation and supervised segmentation was published on Customer Intelligence Blog.

According to the SAS Experience 2030 global study, by the year 2030 67% of in-person customer engagements (think sales assistance and information queries) will be completed by smart machines rather than humans. And while it may seem a bit ironic, the most personalized customer experiences could involve no people at [...]

SAS Customer Intelligence 360: Make better decisions with analytically driven marketing was published on Customer Intelligence Blog.

We live in the age of data. From global warming stats to customer behavior patterns, new technologies have made it easier to collect, store, access and analyze information. But our use of these technologies has also eroded our attention spans and fueled post-truth misunderstandings. To combat these trends, the question [...]

SAS Customer Intelligence 360: Visual analytics, sankey diagrams and customer journeys was published on Customer Intelligence Blog.

Everything happens somewhere, and much of our customer data includes location information. Websites include x, y coordinates in semi-structured click streams, and the mobile apps your prospects depend on frequently support device location to provide a personalized, targeted experience. As my SAS peer Robby Powell said: "Human brains are hardwired [...]

SAS Customer Intelligence 360: Data visualization, location analytics and geospatial insights was published on Customer Intelligence Blog.

Read the in depth Review of Dell XPS 9300 10th Gen Intel core i7-1065G7 (2020) Laptops. Know detailed info about Dell XPS 9300 10th Gen Intel core i7-1065G7 (2020) configuration, design and performance quality along with pros & cons, Digit rating, verdict based on user opinions/feedback.

Read the in depth Review of Intel Core i9-11900K Desktop Processor PC Components. Know detailed info about Intel Core i9-11900K Desktop Processor configuration, design and performance quality along with pros & cons, Digit rating, verdict based on user opinions/feedback.

Read the in depth Review of Intel NUC 11 Extreme PC Components. Know detailed info about Intel NUC 11 Extreme configuration, design and performance quality along with pros & cons, Digit rating, verdict based on user opinions/feedback.

Read the in depth Review of Intel Core i9-13900K Desktop Processor PC Components. Know detailed info about Intel Core i9-13900K Desktop Processor configuration, design and performance quality along with pros & cons, Digit rating, verdict based on user opinions/feedback.

Read the in depth Review of Intel Core i9-12900K Desktop Processor Others. Know detailed info about Intel Core i9-12900K Desktop Processor configuration, design and performance quality along with pros & cons, Digit rating, verdict based on user opinions/feedback.

Wind River, an IoT and industrial operating system owned by Intel will be acquired by TPG, global alternative asset firm. Terms of the deal were not disclosed. Intel had bought Wind River Systems for $884 million in 2009

Wind River operates in several markets, including aerospace and defense, automotive, industrial, medical and networking technologies. Its core products in these markets are operating systems, software infrastructure platforms, device management, and simulation software. The IoT practice of Wind River provides consulting services for customers building IoT applications.

In a statement for Wind River, Nehal Raj, Partner and Head of Technology investing at TPG said “We see a tremendous market opportunity in industrial software driven by the convergence of the Internet of Things (IoT), intelligent devices and edge computing. As a market leader with a strong product portfolio, Wind River is well positioned to benefit from these trends. We are excited about the prospects for Wind River as an independent company, and plan to build on its strong foundation with investments in both organic and inorganic growth.”

Wind River’s main IoT product is Helix Device Cloud, a cloud-offering capable of managing deployed IoT devices and industrial equipment across a machine’s lifecycle. Helix can connect and manage devices remotely.

Helix platform’s key uses cases are gateway management, proactive maintenance, security updates, and device provisioning.

The rising customer expectations, intermingling fields and high performance needs can be satisfied with the system based design. An intelligent Systems Design strategy can offer a quicker route to an optimum design and helps to increase designers' productivity and analyzes efficiency by providing the ability to explore the entire design space. Cadence Intelligent System Strategy enables a system design revolution and reduces project schedules with optimized continuous integration.(read more)

As noted in white papers, posts on the Team Specman Blog, and the Specman documentation, IntelliGen is a totally new stimulus generator than the original "Pgen" and, as a result, there is some amount of effort needed to migrate an existing verification environment to fully leverage the power of IntelliGen.  One of the main steps in migrating code is running the linters on your code and adressing the issues highlighted. 

Included below is a simple utility you can include in your environment that allows you to collect some valuable statistics about your code base to allow you to better gauge the amount of work that might be required to migrate from Pgen to IntelliGen.  The ICFS statistics reported are of particular benefit as the utility not only identifies the approximate number of ICFSs in the environment, it also breaks the total number down according to generation contexts (structs/units and gen-on-the-fly statements) allowing you to better focus your migration efforts. 

IMPORTANT: Sometimes a given environment can trigger a large number of IntelliGen linting messages right off the bat.  Don't let this freak you out!  This does not mean that migration will be a long effort as quite often some slight changes to an environment remove a large number of identified issues.  I recently encountered a situation where a simple change to three locations in the environment, removed 500+ ICFSs!

The methods included in the utility can be used to report information on the following:
- Number of e modules
- Number of lines in the environment (including blanks and comments)
- Number and type of IntelliGen Guidelines linting messages
- Number of Inconsistently Connected Field Sets (ICFSs)
- Number of ICFS contexts and how many ICFSs per context
- Number of soft..select overlays found in the envioronment
- Number of Laces identified in the environment

To use the code below, simply load it before/after loading e-code and then
you can execute any of the following methods:

- sys.print_file_stats()             : prints # of lines and files
- sys.print_constraint_stats()   : prints # of constraints in the environment
- sys.print_guideline_stats()    : prints # of each type of linting message
- sys.print_icfs_stats()            : prints # of ICFSs, contexts and #ICFS/context
- sys.print_soft_select_stats() : prints # of soft select overlay issues
- sys.print_lace_stats()           : *Only works for SPMNv6.2s4 and later* prints # of laces identified in the environment

Each of the above calls to methods produces it's own log files (stored in the current working directory) containing relevant information for more detailed analysis.
- file_stats_log.elog : Output of "show modules" command
- constraint_log.elog : Output of the "show constraint" command
- guidelines_log.elog : Output of "gen lint -g" (with notification set to MAX_INT in order to get all warnings)
- icfs_log.elog       : Output of "gen lint -i" command
- soft_select_log.elog: Output of the "gen lint -s" command
- lace_log.elog       : Output of the "show lace" command

Happy generating!

Corey Goss

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.

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Binge on Chip Design Concepts this Weekend!

Apple's latest beta for iOS 18.2 features some important AI features you can test out now.

With the recent macOS Sequoia launch, Apple released some Apple Intelligence features. Here's what you can try out now.

The House of Representatives yesterday waded into the ongoing controversy between the Nigeria Ports Authority (NPA) and Intels Nigeria Limited. The House, while adopting a motion by Rep Diri Douye (PDP, Bayelsa), resolved to constitute an ad hoc panel to probe the circumstances that led to NPA’s decision to terminate an existing contract between it […]

Reps ask NPA to reverse termination of agreement with Intels

[Shabelle] Mogadishu, Somalia -- The National Intelligence and Security Agency (NISA) of Somalia announced on Thursday the arrest of two men with ties to the militant group Al-Shabaab in the capital city of Mogadishu.

[Shabelle] Mogadishu -- Somalia's National Intelligence and Security Agency (NISA) conducted a targeted operation in the Dharaarweyn area near Galcad city, within the Galgaduud region.

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.

President-elect Donald Trump announced Tuesday that John Ratcliffe, a former Texas congressman and director of national intelligence, will serve as the director of the Central Intelligence Agency in his administration.

With competition heating up in the foundry business – India this week approved three new semiconductor plants involving Tata Group and CG Power,, and is looking to achieve dominance in the industry – existing foundries have to up their game. Chief among them is Intel, which has been trying to recover from historical missteps that […]

However, the comparative Win 11 AMD tests were on an unpatched (L3 cache, CPPC2) PC.

John Ratcliffe, who previously served as President-elect Trump's principal intelligence advisor, has now been picked by Trump to serve as director of the CIA.

I've spent a week with Apple Intelligence—here are the takeaways.

Stock index switch-up reflects symbolic market shift as chip industry refocuses around AI.

Anthropic’s smallest AI model now beats its older largest LLM, Opus, at some tasks.

Outgoing firm Principal Service Solutions says incoming staffing agency Manpower may bring the workers back.

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.

By fostering collaboration and seamless data integration into healthcare systems, the industry is laying the groundwork for a future in which “personalized medicine” is so commonplace within clinical practice that we will just start calling it “medicine.”

The post Driving Genetic Testing Adoption and Improved Patient Care through Health Data Intelligence appeared first on MedCity News.

Apr 18, 2024

The human tragedy continuing to unfold in Gaza and Israel reminds us how important it is to get strategic forecasting right. While in no way excusing Hamas’ culpability for 7 October, we also cannot dismiss the fact that the failure to anticipate and prepare for such an attack has had grave consequences for communities on both sides of this conflict, undermined efforts to bring peace and prosperity to the region, and affected global interests through the expansion of the conflict to the Red Sea and potentially beyond. 

Volvo Cars and Ericsson developing intelligent media streaming for self-driving cars

Hi Yay

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--).