Starlink has been looking to enter India for years and its plans got a major boost last month when New Delhi said it wouldn't auction spectrum for satellite broadband but rather award it administratively - just as Musk wanted. Rival Indian telecom billionaire Mukesh Ambani had wanted an auction.

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.

Insights from Emma and their customers on storytelling across marketing channels, from the Marketing United summit

No matter what your brand's level of marketing maturity is, SAS can help you move from data to insight to action with rich functionality for adaptive planning, journey activation and an embedded real-time decision engine – all fueled by powerful analytics and artificial intelligence (AI) capabilities. Let's begin with a [...]

SAS Customer Intelligence 360: Introduction to marketing data management was published on Customer Intelligence Blog.

Customer data platforms (CDPs), data management platforms (DMPs), people-based marketing, identity graphs, and more overlapping topics represent an important ingredient of any martech brainstorming session in 2020. As your brand spreads out across touchpoints — from web to mobile applications, as well as call centers, email and direct mail — [...]

SAS Customer Intelligence 360: Identity management, profiling and unified data model for hybrid marketing was published on Customer Intelligence Blog.

There's no question that we're all increasingly, and often exclusively, interacting with brands digitally. Consumers are now online through countless mechanisms – from laptops and mobile apps to AI-enabled voice assistants and sensor-based wearables. Engagement is diversifying in fascinating new ways. And when organizations can't see their customers interacting in [...]

SAS Customer Intelligence 360: Behavioral event tracking, targeting & engagement analysis was published on Customer Intelligence Blog.

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.

A guidance has been issued to the wealthier students with a list of actions they need to follow to create an inclusive environment.

hi

How can I tell the LEC tool to ignore a combination of Primary input bus in both Golden and revised.

For example in both Golden and revised there is 

input [3:0] data_in

I want LEC not to check the case that data_in[3:0] == 4'b1000

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

Hello,

I am trying to design an RF mixer for a TX.
Assume my input IF signal is at 1 GHz, my LO at 2 GHz and I want my RF at 3 GHz, and assume that the mixer fully works after testing it with HB.
How to simply set the envelope analysis to check the EVM ?
I read through the documentation but I couldn't get it (I couldn't fully understand the settings of the source, probe, analysis.)
Which source and probe to use? I want custom modulation with custom bandwidth and center frequency.
Is there some examples for the ENVLP analysis ?

I am using IC23.1 and spectre 20.1.354.

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!

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 Free Press founder urges Jewish leaders to confront rising antisemitism and embrace resilience in her powerful DC speech.

[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.

Satellite images show China working on nuclear reactor for new warship

Jennifer Aniston is one of the highest paid actresses of HollywoodAmerican actress, Jennifer Aniston revealed that she was once told by one of her show’s producers that popular sitcom Friends will not 'make her a star'. Globally acclaimed NBC show aired on TV in 1994. At the same time,...

We may never know what lies beyond the boundaries of the observable universe, but the fabric of the cosmos can tell us whether the universe is infinite or not

New blood tests can reveal whether your immune system is fighting fit by looking at the balance of different immune cells, but there may be a simpler way of gauging your immune health

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

A link between volcanic activity and rising bubbles of low pressure in the ionosphere has now been proven, which may be why the colossal Tonga volcano eruption in 2022 disrupted satellite communications

A young boy who lived towards the end of the last glacial period had dark skin, blue eyes and a congenital heart condition, a study of his genome reveals

Title: Main Dishes May Fall Flat After Stellar Appetizers
Category: Health News
Created: 8/21/2015 12:00:00 AM
Last Editorial Review: 8/24/2015 12:00:00 AM

Title: Many Parents Don't Tell Doctor About 'Complementary' Therapy Use in Kids
Category: Health News
Created: 8/29/2017 12:00:00 AM
Last Editorial Review: 8/30/2017 12:00:00 AM

Title: Fratelli Beretta Antipasto Trays Are the Source of Salmonella Outbreak: CDC
Category: Health News
Created: 8/27/2021 12:00:00 AM
Last Editorial Review: 8/27/2021 12:00:00 AM

Title: Alternative Medicine Popular Among Seniors, But Most Don't Tell Their Doctors About It
Category: Health News
Created: 7/27/2022 12:00:00 AM
Last Editorial Review: 7/27/2022 12:00:00 AM

Title: How Can You Tell if Your Baby Has an Earache?
Category: Diseases and Conditions
Created: 6/16/2021 12:00:00 AM
Last Editorial Review: 8/23/2022 12:00:00 AM

Title: Is It Parkinson's? These 10 Signs Could Tell
Category: Health News
Created: 8/19/2022 12:00:00 AM
Last Editorial Review: 8/19/2022 12:00:00 AM

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.

We present a unique case of a single patient presenting with two mutationally distinct, PD-L1⁺ diffuse large B-cell lymphomas (DLBCLs). One of these DLBCLs demonstrated exceptionally high mutational burden (eight disease-associated variants and 41 variants of undetermined significance) with microsatellite instability (MSI) and an acquired PMS2 mutation with loss of PMS2 protein expression, detected postchemotherapy. This report, while highlighting the extent of possible tumor heterogeneity across separate clonal expansions as well as possible syndromic B-cell neoplasia, supports the notion that, although rare, PD-L1 expression and associated states permissive of high mutational burden (such as mismatch repair gene loss of function/MSI) should be more routinely considered in DLBCLs. Appropriate testing may be predictive of outcome and inform the utility of targeted therapy in these genetically diverse and historically treatment-refractory malignancies.

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.

Kelley is creeped out by grown men in diapers. Josh can't name a kaiju that isn't Godzilla or Mothra. And Chris gets an Elden Pacifier since he's never happy.

The post RPG Cast – Episode 647: “Stellar Eve for When You Don’t Feel Fresh” appeared first on RPGamer.

Shift Up in its latest earnings report Q&A stated its goal is to release Stellar Blade for PC sometime in 2025.

"We're aiming for a 2025 release," said the developer when asked about a PC version of Stellar Blade.

"Given recent trends like Steam’s growing presence in the AAA games market and the global success of Black Myth: Wukong, we are expecting the PC version to perform even better than the console version."

The developer revealed sales for the PS5 version of Stellar Blade "have remained steady even as the initial surge has calmed."

Stellar Blade released for the PS5 in April.

Thanks, Gematsu.

A life-long and avid gamer, William D'Angelo was first introduced to VGChartz in 2007. After years of supporting the site, he was brought on in 2010 as a junior analyst, working his way up to lead analyst in 2012 and taking over the hardware estimates in 2017. He has expanded his involvement in the gaming community by producing content on his own YouTube channel and Twitch channel. You can contact the author on Twitter @TrunksWD.

Full Article - https://www.vgchartz.com/article/463049/shift-up-aiming-to-release-stellar-blade-for-pc-in-2025/