Outdoor exploration allows children to have fun while making sense of the world around them and developing their critical-thinking skills.

Elementary math specialist Kristin Gray helps her 2nd graders understand different subtraction strategies by talking through their thought processes.

See how one preschool teacher helps her students learn how to count collections of objects.

These four evidence-based suggestions can help educators offset learning loss for young English learners, write Leslie M. Babinski, Steven J. Amendum, Steven E. Knotek, and Marta Sánchez.

Developed by a team in the College of Arts and Architecture's Office of Digital Learning, HAX, or Headless Authoring eXperience, is a content management system that structures content in a ubiquitous format for simple web publishing.

WILMINGTON, Del. – Governor John Carney on Wednesday announced Delaware was one of four states chosen by the National Governors Association to participate in a learning collaborative focused on recognizing and responding to adverse childhood experiences. The State of Delaware will join teams from Pennsylvania, Virginia and Wyoming in the Improving Well-being and Success of […]

The new SAS Certified Specialist: Statistics for Machine Learning credential is designed to help you showcase your expertise and commitment to staying ahead in the industry.

Earn this SAS certification to validate your skills and training in machine learning was published on SAS Users.

This article was written based on an interview. Exploring SAS courses: thoughts on my learning journey My journey started with programming eLearning courses that got me hooked and curious about a wide range of topics. These online lessons were great because they were short and focused on technical stuff. But [...]

Reflecting on learning as both a student and an educator was published on SAS Users.

Seven sites will benefit from 21st Century Community Learning Center grants to establish or expand community learning centers that provide students with enrichment opportunities when school is not in session. 

DEPARTMENT OF EDUCATION: Office of the Secretary

Artificial intelligence (AI) is everywhere. Machine learning (ML) and its associated inference abilities promise to revolutionize everything from driving your car to making your breakfast. Verification is never truly complete; it is over when you run...(read more)

Designing 3D-ICs with integrity involves a commitment to ethical practices, reliability, and sustainability throughout the design and manufacturing process. This includes using environmentally friendly materials, ensuring robust and efficient performance, and incorporating thorough testing and verification. By prioritizing transparency, responsibility, and long-term sustainability, designers can create advanced integrated circuits that meet high standards of quality and social responsibility.

Start Learning Now!

Start with our Designing with Integrity 3D-IC online course, which introduces Integrity 3D-IC, the industry's first comprehensive, high-capacity 3D-IC platform that integrates 3D design planning, implementation, and system analysis in a single, unified environment. You will be guided through the following activities involved in designing a silicon interposer with a digital ASIC and HBM2 interface in a 2.5D configuration.

• You will design the interposer from scratch in the new Integrity System Planner and the Integrity 3D-IC implementation environment.
• You will examine the ASIC and interposer designs using some of the new 3D-IC multi-die design features.
• You will route the interposer using some of the new advanced routing capabilities with NanoRoute

—and this in only two days!

WATCH VIDEO

Interested? Get an overview in less than two minutes.

Are you primarily interested in selected snippets instead? Then, take our Training Bytes, which—like the online training course—are available to Cadence customers for free 24/7 in the Cadence Learning and Support portal.

Cadence Training Services now offers free Digital Badges for all popular online training courses. These badges indicate proficiency in a certain technology or skill and give you a way to validate your expertise to managers and potential employers. You can add the digital badge to your email signature or any social media channels, such as Facebook or LinkedIn, to highlight your expertise.

To find out more, see the blog post. It’s the Digital Era; Why Not Showcase Your Brand Through a Digital Badge!

Related Resources

• 3D-IC Introduction (Video)
• 3D-IC Development Process With Challenges. (Video)
• Demo: How to Create the Interposer Contact Pads and Die Connectivity Using the Integrity 3D-IC? (Video)
• Demo: How To Pull The Interposer Design From System Planner Into Integrity 3D-IC Layout? (Video)
• Demo: Routing The Interposer Design Using The Integrity 3D-IC Layout_Part 1 (Video)
• Demo: Routing The Interposer Design Using The Integrity 3D-IC Layout_Part 2 (Video)
• Demo: How To Create C4 Bumps For NC Connections And Generating C4 Dummy Cover Bumps In Integrity 3D-IC? (Video)

Related Blogs

• How Cadence Is Expanding Innovation for 3D-IC Design
• Training Bytes: They May Be Shorter, But the Impact Is Stronger!
• Training Insights — 3D-IC: What Is Silicon Interposer?
• System Analysis Knowledge Bytes: What’s New in the Clarity 3D Solver Course
• System Analysis Knowledge Bytes - Early System-Level Thermal Analysis
• 3D-IC: The Future of Integrated Electronics Is the Future of Electronics Itself

Related Trainings

• OrbitIO System Planner
• Allegro Package Designer Plus

Robotics developers can greatly accelerate their work on AI-enabled robots, including humanoids, using new AI and simulation tools and workflows that NVIDIA revealed this week at the Conference for Robot Learning (CoRL) in Munich, Germany. The lineup includes the general availability of the NVIDIA Isaac Lab robot learning framework; six new humanoid robot learning workflows Read Article

Co founder of Electronic Music Malta Edwin Balzan tells all in our Q&A

Global education is facing a critical moment amid severe setbacks. Millions of children are out of school, learning levels are falling, and millions are leaving school without the skills they need. New out-of-school figures reveal that global progress in reducing the number of out-of-school children has been just 1 percent since 2015, leaving 251 million […]

Title: Pandemic Learning Can Strain Children's Eyes
Category: Health News
Created: 8/27/2020 12:00:00 AM
Last Editorial Review: 8/28/2020 12:00:00 AM

Title: One Benefit of Online Learning: Better Sleep for Kids
Category: Health News
Created: 8/27/2021 12:00:00 AM
Last Editorial Review: 8/27/2021 12:00:00 AM

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.

Massively parallel reporter assays (MPRAs) are powerful tools for quantifying the impacts of sequence variation on gene expression. Reading out molecular phenotypes with sequencing enables interrogating the impact of sequence variation beyond genome scale. Machine learning models integrate and codify information learned from MPRAs and enable generalization by predicting sequences outside the training data set. Models can provide a quantitative understanding of cis-regulatory codes controlling gene expression, enable variant stratification, and guide the design of synthetic regulatory elements for applications from synthetic biology to mRNA and gene therapy. This review focuses on cis-regulatory MPRAs, particularly those that interrogate cotranscriptional and post-transcriptional processes: alternative splicing, cleavage and polyadenylation, translation, and mRNA decay.

Memory formation is contingent on molecular and structural changes in neurons in response to learning stimuli—a process known as neuronal plasticity. The initiation step of mRNA translation is a gatekeeper of long-term memory by controlling the production of plasticity-related proteins in the brain. The mechanistic target of rapamycin complex 1 (mTORC1) controls mRNA translation, mainly through phosphorylation of the eukaryotic initiation factor 4E (eIF4E)-binding proteins (4E-BPs) and ribosomal protein S6 kinases (S6Ks). mTORC1 signaling decreases throughout brain development, starting from the early postnatal period. Here, we discovered that in mice, the age-dependent decrease in mTORC1 signaling occurs selectively in excitatory but not inhibitory neurons. Using a gene conditional knockout (cKO) strategy, we demonstrate that either up- or downregulating the mTORC1-4E-BP2 axis in GAD65 inhibitory interneurons, but not excitatory neurons, results in long-term object recognition and object location memory deficits. Our data indicate that the mTORC1 pathway in inhibitory but not excitatory neurons plays a key role in memory formation.

ABSTRACTWe document the effort over the last 30 years to respond to the call by women advocates at the International Conference on Population and Development for more woman-initiated single or dual-purpose contraceptive methods by developing the Caya contoured diaphragm, an innovative diaphragm designed to meet the needs of women and their partners and expand options for nonhormonal barrier contraception. We describe the complex and interrelated set of activities undertaken to develop the product using a human-centered design process and how we are working to create a corollary sustainable market. This review includes the evidence generated around improved acceptability among couples in low- and middle-income countries and depicts challenges and practical actions on how to dispel misconceptions about diaphragm use. Importantly, we share programmatic lessons learned on increasing universal access to this new sexual and reproductive health technology. Following our new model for increasing access to new and underutilized methods, Caya is now registered and being marketed in nearly 40 countries worldwide.

ABSTRACTTraining health workers is one of the biggest challenges and cost drivers when introducing a new contraceptive method or service delivery innovation. PATH developed a digital training curriculum for family planning providers who are learning to offer subcutaneous DMPA (DMPA-SC), including through self-injection, as an option among a range of contraceptive methods. The DMPA-SC eLearning course for health workers includes 10 lessons with an emphasis on informed choice counseling and training clients to self-inject. In partnership with Ministries of Health in Senegal and Uganda, the course was rolled out in select areas in 2019–2020, including during the COVID-19 pandemic when physical distancing requirements restricted in-person training. We conducted evaluations in both countries to assess the practical application of this digital training approach for contraceptive introduction. The evaluation consisted of a post-training survey, an observational assessment conducted during post-training supportive supervision, and an estimation of training costs.In both countries, a majority (88.6% in Uganda and 64.3% in Senegal) scored above 80% on a DMPA-SC knowledge test following the training. In Senegal, where there was a comparison group of providers trained in person, those providers scored similar on the post-test to eLearners. Providers in both groups and in both countries felt more prepared to administer DMPA-SC or offer self-injection to clients after receiving a supervision visit (93%–98% of eLearners felt very prepared after supervision as compared to 45%–72% prior). The evaluation results suggest that digital approaches offer a number of benefits, can be cost-effective, and are most optimal when blended with in-person training and/or supportive supervision.

ABSTRACTIntroduction: Nigeria has the highest number of children who have not received any vaccines in Africa. The training-of-trainers (TOT) model used to train program managers (PMs) and health care workers (HCWs) is ineffective for adult learning and limits immunization programs’ success. We incorporated adult learning principles (ALPs) in designing and delivering TOT for immunization PMs and HCWs to use data to engage communities for tailored immunization strategies.Methods: Our study was implemented in 3 local government areas (LGAs) of the Federal Capital Territory, Nigeria. A training curriculum was developed, integrating ALPs and technical and operational content based on best practices in delivering immunization training and the training needs assessment findings. State PMs (n=10), LGA PMs (n=30), and HCWs (n=42) were trained on the human-centered design for tailoring immunization programs (HCD-TIP) approaches using ALPs. We used interviews and surveys with purposively and conveniently sampled PMs and HCWs, respectively, and observations to assess participants’ satisfaction, knowledge and competence, behavior changes, and results. The interviews were analyzed thematically, and surveys were statistically.Results: There was a high level of satisfaction with the training among LGA PMs (100%), state PMs (91%), and HCWs (85%), with significant knowledge and competence improvements post-training (P<.001). The trained participants conducted 2 HCD sessions with 24 undervaccinated communities and co-designed 24 prototype solutions for testing. Results showed increased coverage of the pentavalent vaccine first dose (54%) and third dose (188%) across 12 participating communities. Improved community colaboration, communication skills, and data-driven approaches were the most cited behavior changes in practice.Conclusion: The application of ALPs in training, use of HCD-TIP approaches and tools, and supportive supervision enhanced PMs’ and HCWs’ capacity for tailored interventions. Countries should consider adopting a holistic approach that focuses on using these approaches in immunization programs to strengthen the health system for equitable vaccine coverage.

ABSTRACTWe describe the development, implementation, and evaluation of a novel twinning approach: the Twinning Partnership Network (TPN). Twinning is a well-known approach to peer learning that has been used in a variety of settings to build organizational capacity. Although twinning takes many forms, the heart of the approach is that institutions with shared characteristics collaborate via sharing information and experiences to achieve a specific goal. We adapted a twinning partnership strategy developed by the World Health Organization to create a network of like-minded health institutions. The key innovation of the TPN is the network, which ensures that an institution always has a high-performing peer with whom to partner on a specific topic area of interest. We identified 10 hospitals and 30 districts in Rwanda to participate in the TPN. These districts and hospitals participated in a kickoff workshop in which they identified capacity gaps, clarified goals, and selected twinning partners. After the workshop, districts and hospitals participated in exchange visits, coaching visits, and virtual and in-person learning events. We found that districts and hospitals that selected specific areas and worked on them throughout the duration of the TPN with their peers improved their performance significantly when compared with those that selected and worked on other areas. Accreditation scores improved by 5.6% more in hospitals selecting accreditation than those that did not. Districts that selected improving community-based health insurance coverage improved by 4.8% more than districts that did not select this topic area. We hypothesize that these results are due to senior management’s interest and motivation to improve in these specific areas, the motivation gained by learning from high-performing peers with similar resources, and context-specific knowledge sharing from peer hospitals and districts.

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.

Two pioneers of artificial intelligence have won the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning.

Finished chips coming in from the foundry are subject to a battery of tests. For those destined for critical systems in cars, those tests are particularly extensive and can add 5 to 10 percent to the cost of a chip. But do you really need to do every single test?

Engineers at NXP have developed a machine-learning algorithm that learns the patterns of test results and figures out the subset of tests that are really needed and those that they could safely do without. The NXP engineers described the process at the IEEE International Test Conference in San Diego last week.

NXP makes a wide variety of chips with complex circuitry and advanced chip-making technology, including inverters for EV motors, audio chips for consumer electronics, and key-fob transponders to secure your car. These chips are tested with different signals at different voltages and at different temperatures in a test process called continue-on-fail. In that process, chips are tested in groups and are all subjected to the complete battery, even if some parts fail some of the tests along the way.

Chips were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests.

“We have to ensure stringent quality requirements in the field, so we have to do a lot of testing,” says Mehul Shroff, an NXP Fellow who led the research. But with much of the actual production and packaging of chips outsourced to other companies, testing is one of the few knobs most chip companies can turn to control costs. “What we were trying to do here is come up with a way to reduce test cost in a way that was statistically rigorous and gave us good results without compromising field quality.”

A Test Recommender System

Shroff says the problem has certain similarities to the machine learning-based recommender systems used in e-commerce. “We took the concept from the retail world, where a data analyst can look at receipts and see what items people are buying together,” he says. “Instead of a transaction receipt, we have a unique part identifier and instead of the items that a consumer would purchase, we have a list of failing tests.”

The NXP algorithm then discovered which tests fail together. Of course, what’s at stake for whether a purchaser of bread will want to buy butter is quite different from whether a test of an automotive part at a particular temperature means other tests don’t need to be done. “We need to have 100 percent or near 100 percent certainty,” Shroff says. “We operate in a different space with respect to statistical rigor compared to the retail world, but it’s borrowing the same concept.”

As rigorous as the results are, Shroff says that they shouldn’t be relied upon on their own. You have to “make sure it makes sense from engineering perspective and that you can understand it in technical terms,” he says. “Only then, remove the test.”

Shroff and his colleagues analyzed data obtained from testing seven microcontrollers and applications processors built using advanced chipmaking processes. Depending on which chip was involved, they were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests. Extending the analysis to data from other types of chips led to an even wider range of opportunities to trim testing.

The algorithm is a pilot project for now, and the NXP team is looking to expand it to a broader set of parts, reduce the computational overhead, and make it easier to use.

"You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li.

Jun 30, 2022

The Learning Agenda is an unprecedented effort by the Department to institutionalize evidence-based learning and implement the Foundations for Evidence-Based Policymaking Act of 2018 (“Evidence Act”). The Evidence Act requires federal agencies to develop a “learning agenda” – a systematic plan to answer a set of policy-relevant questions critical to achieving the agency’s strategic objectives. It will guide the Department’s efforts over the next four years across eight questions to increase the impact of U.S. foreign policy and bolster the Secretary of State’s modernization efforts.

This event featured a keynote address followed by a panel of foreign policy and evidence-building experts for a thoughtful discussion on addressing Learning Agenda Questions 1 and 2: How can the State Department improve the effectiveness of its diplomatic interventions to better advance foreign policy objectives? How can the Department improve the effectiveness and sustainability of its foreign assistance efforts?

Mar 25, 2024

Bystander video feeds show scenes of fire and destruction, flames engulfing pipelines and smoke billowing from oil tank farms. In one clip, a twin-tailed aircraft flies slowly over a burning refinery. It loiters, banks, and then plunges precisely into the top of a tall, hydrocarbon filled distillation tower followed by explosions and more fire.

Kyiv is turning the tables on Russia by striking at its hydrocarbon lifeblood. Ukraine’s justified and effective homegrown response to Putin’s two-year campaign of attacks on the nation’s energy infrastructure shows Russia that what goes around comes around.

Jun 14, 2024

China produces more than half of the world’s coal and employs more coal workers than any other country. China will need to develop alternative economic opportunities for workers displaced by the transition away from coal. This report examines the experiences of Tongchuan, Shaanxi, and Wuhai, Inner Mongolia in addressing unemployment problems and diversifying their economies, offering lessons for how other coal-producing cities and regions around the world can ensure a just transition for fossil fuel industry workers. 

John Sculley introduces his new multimedia business learning series �How to Build a Successful Business�

Partner With STEM Learning to Sponsor a Mini Science Centre

Bayer MSMS �Say TkU� Campaign

There is an ancient and proud tradition of people finding spiritual resonance within the captivating riddle of their own sexuality. That tradition has little or nothing to do with carnies eating junk food... or does it???

We recently launched a completely reimagined version of Machine Learning Crash Course.

Amazon's Children's Day Store is now open, featuring an array of products specially discounted for the occasion, including top-selling Android tablets ideal for e-learning. With price reductions of up to 75% on select items such as headphones, tablets, and kids' smartwatches,

Engaging the fine motor system to produce letters by hand has positive effects on learning and memory

AutMedAI, a new medlinkmachine learning/medlink (ML) model, enhances early detection of medlinkAutism Spectrum Disorder/medlink (ASD) with minimal medical and background data.

Distance learning solutions and online educational tools are rapidly growing in popularity and effectiveness with teachers, colleges and university-level programs worldwide. One recent survey estimated that...

India is the birth place of yoga but this divine practice has found followers all across the world. People are learning yoga in their cities and some even prefer to travel to India to learn yoga. There are many places that offer learners...

Everybody knows that education play important role in every human life. Every people learn from education more things that we use in our general and professional life. But it's only a fundamental education that teaches us how to...

“Knowledge breeds gallantry”. This saying was propagated by some eminent scholars in the mid 17th century in order to foster realisations regarding the significance of learning. Many people are trapped with illusions...

English nowadays is not an added skill – it is a basic requirement. Whether you are a student, intern, professional, or just a regular person, you will realize how important fluent spoken...

Ravi Kiran Magham highlights the transformative role of Machine Learning Feature Stores in modern data infrastructures.

About a year and a half ago, quantum control startup Quantum Machines and Nvidia announced a deep partnership that would bring together Nvidia’s DGX Quantum computing platform and Quantum Machine’s advanced quantum control hardware. We didn’t hear much about the results of this partnership for a while, but it’s now starting to bear fruit and […]

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