Toronto, ON – Since 2005, Y Combinator (YC) has launched 1,200 startups which have a combined valuation of over $65 billion. Without the help of this seed accelerator, companies such as DoorDash, Code Academy and Thalmic Labs would have been lost. On Friday, January 20, 2017, YC will be inaugurating Accelerator Weekend with a panel led […]

Toronto, ON –  Machine learning and artificial intelligence are poised to revolutionize the way companies do business in the fields of healthcare, transportation, and materials research. With the launch of the new Vector Institute, Toronto is quickly becoming a hub for machine learning development. Following this momentum is a three-part limited edition CIFAR seminar series, […]

Toronto, ON – A study by researchers at the Ontario Institute for Studies in Education (OISE) at the University of Toronto shows that four-year-olds with average and lower vocabulary skills learn more effectively with an adult reading an eBook to them versus relying solely on the eBook’s voiceover. Adult reader versus e‑book voiceover In the study, […]

Exciting learning at Forest Hills Eastern High School! Our amazing AP Psychology teacher, Mr. Cameron Wysocki, has taken education to the next level by merging science and creativity! Students are learning about different parts of the brain by designing their own Pokémon characters and cards. After crafting their creations, they went head-to-head in a Pokémon […]

The post AP Psychology class learns brain functions while playing Pokemon appeared first on Forest Hills Public Schools.

In this hour, stories of education, illumination, or just being schooled. The lessons learned from communities new and old, on top of a glacier, and from children. This episode is hosted by Moth host Jon Goode. The Moth Radio Hour is produced by The Moth and Jay Allison of Atlantic Public Media.

Hosted by: Jon Goode

Storytellers:

Dan Souza teaches English and learns about Hungarian karaoke.

Jen Rubin plans to be spontaneous.

Matty Struski learns about resiliency, and slides.

Diane Harari learns that piano recitals are child's play.

Burnell Cotlon returns to the Lower Ninth Ward after Hurricane Katrina to rebuild the community he loves.

In this hour, stories of lessons for real life. Navigating young love, learning to live in the moment, and how to drive stick shift. This episode is hosted by Jay Allison, producer of The Moth Radio Hour.

Storytellers:

Sam Bolen works on Broadway during the "season of the understudy."

Meg Ferrill uses her skills as a project manager in the lead up to the birth of her son.

Grace Topinka tries to learn stick shift.

Michael Maina has no idea how to handle his first crush.

Anh Vu Sawyer challenges the youth she works with to apply to college—but they in turn challenge her right back.

Peabody-award winning journalist Chenjerai Kumanyika hosts an episode which explores all the learning that takes place outside the classroom.

Storytellers:

Adrienne Lotson shares the stories her father told her about Harlem

Lopaka Kapanui learns some lessons from his mother about the legacies we leave behind

There’s a huge amount of productivity systems and time management strategies out there. But what actually works, and why?

Panera’s leader Niren Chaudhary has firsthand experience of leading through adversity.

“Perfection isn’t a prerequisite for self-trust... It’s consistency in another form: knowing that I do my best, learn from my mistakes, practice honesty, and pull through most of the time. Understanding my version of ADHD has transformed my ability to trust myself.”

When I took the CMO role at my organization mere weeks after returning from maternity leave for my second child last July, I had the typical working-mom apprehensions about the time and energy necessary to fulfill the obligations required of a C-suite executive. Was it selfish to prioritize my own career when I had a newborn and a toddler? I ultimately decided that, while it's unrealistic to tell mothers they can have it all, I could make a go at it. ...

Traditional machine vision used rule-based programming for controlled environments but struggled in less controlled settings. Edge learning AI, operating directly on vision systems, enhances machine vision's power and usability, revolutionizing quality assurance and manufacturing processes.

Starrett is offering a comprehensive white paper that discusses why traditional approaches to measurement data collection are inefficient and error-prone without the ability to support IoT/ Industry 4.0. 

The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.

Having conducted well over 700 audits, there are some patterns that have developed that are interesting to note.

Many continuous improvement (CI) champions encounter resistance to adopting the necessary mindset, often perceiving individuals as closed-minded or too comfortable. Unlearning long-held beliefs can be stressful, especially for those whose careers depend on them, and psychologists note this process can often be harder than learning new skills—particularly for the most successful individuals.

We explore two critical applications of AI and ML in quality management: predictive quality analytics and automated quality inspections.

Regulatory bodies like the FDA and MHRA are adapting guidelines to accommodate the evolving AI landscape, stressing the importance of innovative compliance approaches alongside traditional software regulations, including audit trails, electronic records, and signatures.

Ready to Learn by Lladro Black Legacy is a(n) Open Edition. The Edition is Limited to n/a pcs

Mikkel Bjoern, a gifted math student in Denmark is using Maple to study in a unique way – by teaching other students. Already possessing an aptitude for math, Mikkel devotes part of his time to teaching younger students, and is able to learn more in the process. Mikkel has already passed math curriculum and exams that are at least a year advanced than his year of study. He now uses Maple to study chemistry, math and physics as well as participate in many competitions.

NanKyu JALT (NanKyu Chapter of the Japan Association for Language Teaching). January 25 (Sat), 9:00-18:00 in Kumamoto. Edward Rubesch.

JALT (The Annual International Conference of the Japan Association for Language Teaching). November 18 (Mon), 9:00-16:00 in Shizuoka. Call for proposals ends March 10th, 2024.

JALT (The Annual International Conference of the Japan Association for Language Teaching). November 17 (Sun), 9:00-19:00 in Shizuoka. Call for proposals ends March 10th, 2024.

JALT (The Annual International Conference of the Japan Association for Language Teaching). November 16 (Sat), 9:00-19:00 in Shizuoka. Call for proposals ends March 10th, 2024.

NanKyu JALT (NanKyu Chapter of the Japan Association for Language Teaching). January 25 (Sat) 2025, at SILC Building, Sojo University, Kumamoto.

JALT (The Annual International Conference of the Japan Association for Language Teaching). November 15 (Fri) - 18 (Mon) 2024, at Shizuoka Convention and Arts Center (Granship) Shizuoka City.

The 250,000-square-foot facility — customized for broad training purposes, administration, and manufacturing — joins several other Watts Works Learning Centers across North America.

Overby-Sheppard Elementary needed more than an HVAC upgrade, but with tight budgets and minimal state funding, it didn’t seem likely.

Rheem's new Innovation Learning Center is a $5 million facility designed to meet the training needs of specialists in Rheem's air-conditioning and water-heating divisions.

Don’t assume equipment capacity or conditions. Instead, do some digging and find the tables for the equipment you install and service.

Here are three lessons I learned while setting out to improve my skills selling duct upgrades.

In an informative session at the NASRC’s Sustainable Refrigeration Summit, Publix and Coborn’s shared the pros and cons of incorporating CO₂ refrigeration systems into their stores.

In this episode, Markus talks to Rebecca Wirfs-Brock on what she has learned from architecture reviews. This is a very complement to the earlier episode on architecture evaluation.

In this episode, Allan shares his insights about how learning is a necessary part of software development. He covers the personal as well as the team and the organizational level and offers practical advice.

John Allspaw CTO of Etsy speaks with Robert Blumen about systemic failures and outages. Why they cannot be totally prevented, how to respond, and what we can learn from them.

Show host Edaena Salinas talks with Katie Malone about Machine Learning.  Katie Malone is a Data Scientist in the Research and Development department at Civis Analytics. She is also an instructor of the Intro to Machine Learning online course from Udacity and host of Linear Digressions, a podcast about machine learning. Topics include: machine learning, data science, a career in machine learning.

Asaf Yigal talks with SE Radio’s Edaena Salinas about machine learning in log analysis. The discussion starts with an overview of the structure of logs and what information they can contain. Asaf discusses what the log analysis process looks like without machine learning -- and the role of humans in this – before moving on to how the process is improved by incorporating external resources using machine learning. Topics include: log analysis, machine learning, operations.

Michael Chan has been teaching React since 2013 and is the host of the React Podcast. He currently works at Ministry Centered Technologies as a Frontend Architect.

Jeremy Howard from fast.ai explains deep learning from concept to implementation. Thanks to transfer learning, individuals and small organizations can get state-of-the-art results on machine learning problems using the open source fastai library...

Katharine Jarmul of DropoutLabs discusses security and privacy concerns as they relate to Machine Learning. Host Justin Beyer spoke with Jarmul about attack types and privacy-protected ML techniques.

Felienne spoke with Youens-Clark about new features in Python, why you should teach testing to beginners from the start and the importance of the Python ecosystem.

Andy Powell is the CISO of AP Moller Maersk and discusses the 2017 cyber attack that hit the company and the lessons learned for preventing and recovering from future attacks.

Luis Ceze of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of different hardware architectures with host Akshay Manchale. Luis talks about the challenges in deploying models on specialized hardware and how TVM.

Ram Sriharsha of Pinecone discusses the role of vectors in machine learning, a technique that lies at the heart of many of the machine learning applications we use every day. Host Philip Winston spoke with Sriharsha about the basics of vectors, vector...

William Falcon of Lighting AI discusses how to optimize deep learning models using the Lightning platform, optimization is a necessary step towards creating a production application. Philip Winston spoke with Falcon about PyTorch, PyTorch Lightning...

Dr. Daniel Zingaro and Dr. Leo Porter, co-authors of the book Learn AI-Assisted Python Programming, speak with host Jeremy Jung about teaching programming with the aid of large language models (LLMs). They discuss writing a book to use in Leo's introductory CS class and explore how GitHub Copilot de-emphasizes syntax errors, reduces the need to memorize APIs, and why they want students to write manual test cases. They also discuss possible ethical concerns of relying on commercial tools, their impact on coursework, and why they aren't worried about students cheating with LLMs.

José Valim, creator of the Elixir programming language, Chief Adoption Officer at Dashbit, and author of three programming books, speaks with SE Radio host Gavin Henry about what Elixir is today, what Livebook is, the five spearheads of the new machine learning ecosystem for Elixir, and how they all fit together. Valim describes why he created Elixir, what “the beam” is, and how he pitches it to new users. This episode examines things you can do with Livebook and how it is well-aligned with machine learning, as well as why immutability is important and how it works. They take a detailed look at a range of topics, including tensors with Nx, traditional machine learning with Scholar, data munging with Explorer, deep learning and neural networks with Axon, Bumblebee and Huggingface, and model creation basics. Brought to you by IEEE Computer Society and IEEE Software magazine.

Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural networks) means today. Using a practical example with deep learning for fraud detection, they explore what Axon is and why it was created. Moriarity describes why the Beam is ideal for machine learning, and why he dislikes the term “neural network.” They discuss the need for deep learning, its history, how it offers a good fit for many of today’s complex problems, where it shines and when not to use it. Moriarity goes into depth on a range of topics, including how to get datasets in shape, supervised and unsupervised learning, feed-forward neural networks, Nx.serving, decision trees, gradient descent, linear regression, logistic regression, support vector machines, and random forests. The episode considers what a model looks like, what training is, labeling, classification, regression tasks, hardware resources needed, EXGBoost, Jax, PyIgnite, and Explorer. Finally, they look at what’s involved in the ongoing lifecycle or operational side of Axon once a workflow is put into production, so you can safely back it all up and feed in new data. Brought to you by IEEE Computer Society and IEEE Software magazine. This episode sponsored by Miro.

Catherine Nelson, author of the new O’Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and AI projects. Host Philip Winston speaks with Nelson about the role of a data scientist, the difference between running experiments in notebooks and building an automated pipeline for production, machine learning vs. AI, the typical pipeline steps for machine learning, and the role of software engineering in data science. Brought to you by IEEE Computer Society and IEEE Software magazine.

Schools are a powerful place to begin building an LGBTQ-affirming culture, as an antidote to fear and bigotry.