By Jimmy Cantrell
The human brain contains millions of neurons that allow us to process vast amounts of information from multiple sources. Our senses feedback data from our experiences to our brains, which organizes the data into patterns to allow us to understand the world around us.
Deep learning is a subset of machine learning that uses algorithms built on neural networks modeled after the human brain. With multiple layers working together inside the computer, artificial neurons or ‘nodes’ use mathematical calculations to process data to solve complex problems, much like how our own brains do.
In this short guide, we explore how deep learning works in more detail and how it can be useful in our day-to-day lives.
By Devin Partida
Scholarships advance STEM education, particularly in the field of robotics. These financial aids open doors for aspiring innovators, enabling them to pursue their dreams without the burden of financial constraints.
Educators stand at the forefront of this endeavor as invaluable mentors and guides. Their insight and encouragement help students navigate scholarship applications and impact their success. Their role extends beyond teaching — they inspire the next generation of robotics professionals, shaping the future of technology and innovation.
Dan Fitzpatrick delivered a keynote address on the future of AI in education, discussing its potential impact and challenges. Here's a summary of his insightful points:
By Carla Jose
Image Source: Pexels
The intersection of artificial intelligence and education has given rise to a range of fascinating transformations. One key player in this revolution is generative AI, a technology that's making its mark on computer science in an especially meaningful way.
For starters, it dovetails impeccably with teaching complex coding processes, and can turn algorithmic mysteries into digestible concepts that even beginners can understand. Better yet, it makes classroom sessions and lectures highly interactive and engaging by generating dynamic examples customized for each student's preferences or ability level.
Ultimately, these novel methods made possible by generative AI can better prepare learners for future challenges awaiting them in the ever-evolving tech industry. So let’s look at the ins and outs of this in more detail to discover just how much of a game-changer the right AI tools and techniques can be when it comes to molding young minds.
By Katie Brenneman
A robust STEM education is key to student success in the digital age. A strong grasp of science, technology, engineering, and mathematics ensures that the pupils of today have the skills they need to find personal and professional success in the future.
However, many students find STEM classes dull and unengaging. This is largely due to misconceptions about the purpose of STEM classes and outdated lesson plans that fail to capture the student’s imagination.
Unfortunately, social inequalities exacerbate disinterest in STEM fields. Black and Hispanic folks are underrepresented in the STEM industry and women in STEM only earn 77% of the average salary that a man in STEM receives. These inequalities push some students away from STEM and must be addressed by teachers who want to cultivate interest and inclusivity in the classroom.
By Ellie Gabel
Photo by : Unsplash
STEM education is critical for the long-term success of electric vehicles and clean energy. These industries remain relatively new to educators and students alike. Expanding coverage of electrification technologies will ensure the next generation has the knowledge and skills they need to contribute to positive, long-term growth in sustainability initiatives.
By Devin Partida
Photo by : Unsplash
Pursuing equity in science, technology, engineering, and mathematics (STEM) education is an ever-evolving conversation around representation and diversity. Artificial Intelligence (AI) — a frontier within STEM itself — emerges not just as an object of study but as a tool to promote equity among students who want to pursue a career in this field. However, can teachers really use AI to champion inclusivity, adaptability and accessibility to create a brighter future for minorities?
By Ellie Gabel
Although most schools have integrated technology into many aspects of their institution, their standard equipment doesn’t typically meet the requirements to support an Esports program. To modernize and future-proof their endeavors, they must invest in quality equipment.
By Devin Partida
Our world is changing so rapidly that sometimes, it's challenging to predict what the future will look like. But one thing is certain — kids have different needs now than they did 20 years ago.
Gone are the days when being intelligent and hardworking is enough. Now, more factors contribute to determining the future generation's success. But just how can we prepare our kids to become key leaders in future industries?
The answer can be found in a science, technology, engineering and mathematics (STEM) education. A STEM education significantly impacts children's future as these subjects can teach kids many soft and hard skills that will enable them to perform at a globally competitive level.
AI LAB by RobotLAB implementation in Lexington city schools
In recent years, concerns have been growing over the declining math proficiency among students in the United States. The ability to comprehend and apply mathematical concepts is not only essential for academic success but also for preparing individuals to thrive in an increasingly technology-driven world. As math scores continue to drop, there's a pressing need to explore innovative solutions to reignite students' interest in mathematics. One such solution lies in harnessing the power of AI labs and robots as engaging educational tools. This blog post delves into the potential of AI labs and robots to enhance math proficiency and foster a renewed enthusiasm for learning.