How can educational media impact a child’s learning outcomes? This is what a recent study published in the Journal of Applied Developmental Psycholog | Technology
Category: education
Tesla’s Biggest FSD Problem Isn’t Technical
Questions to inspire discussion.
Marketing and Promotion.
📣 Q: What marketing strategies should Tesla employ to promote FSD? A: Tesla should invest in advertising, highlighting the cost-effectiveness of their vehicles, and invite influencers and press for a special day to meet the AI team and spread the word about FSD.
Technical Advancements.
🧠 Q: What future improvements are planned for Tesla’s FSD? A: Tesla plans to expand FSD capabilities with 10x parameters in future iterations, making it an even more valuable feature and key brand differentiator.
Safety Benefits.
Want to boost your brain as you age? Music might be the answer
Long-term musical training may mitigate the age-related decline in speech perception by enhancing cognitive reserve, according to a study published in PLOS Biology by Claude Alain from the Baycrest Academy for Research and Education, Canada, and Yi Du from the Chinese Academy of Sciences.
Normal aging is typically associated with declines in sensory and cognitive functions. These age-related changes in perception and cognition are often accompanied by increased neural activity and functional connectivity—the statistical dependence of activity between different brain regions—in widely distributed neural networks.
The recruitment of neural activity and strengthening of functional connectivity are thought to reflect a compensatory strategy employed by older adults to maintain optimal cognitive performance.
Approach improves how new skills are taught to large language models
Researchers have developed a technique that significantly improves the performance of large language models without increasing the computational power necessary to fine-tune the models. The researchers demonstrated that their technique improves the performance of these models over previous techniques in tasks including commonsense reasoning, arithmetic reasoning, instruction following, code generation, and visual recognition.
Large language models are artificial intelligence systems that are pretrained on huge data sets. After pretraining, these models predict which words should follow each other in order to respond to user queries. However, the nonspecific nature of pretraining means that there is ample room for improvement with these models when the user queries are focused on specific topics, such as when a user requests the model to answer a math question or to write computer code.
“In order to improve a model’s ability to perform more specific tasks, you need to fine-tune the model,” says Tianfu Wu, co-corresponding author of a paper on the work and an associate professor of computer engineering at North Carolina State University.
How an MIT professor introduced hundreds of thousands of students to neuroscience
From the very beginning, MIT Professor Mark Bear’s philosophy for the textbook “Neuroscience: Exploring the Brain” was to provide an accessible and exciting introduction to the field while still giving undergraduates a rigorous scientific foundation. In the 30 years since its first print printing in 1995, the treasured 975-page tome has gone on to become the leading introductory neuroscience textbook, reaching hundreds of thousands of students at hundreds of universities around the world.
“We strive to present the hard science without making the science hard,” says Bear, the Picower Professor in The Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences at MIT. The fifth edition of the textbook is out today from the publisher Jones & Bartlett Learning.
Bear says the book is conceived, written, and illustrated to instill students with the state of knowledge in the field without assuming prior sophistication in science. When he first started writing it in the late 1980s — in an effort soon joined by his co-authors and former Brown University colleagues Barry Connors and Michael Paradiso — there simply were no undergraduate neuroscience textbooks. Up until then, first as a graduate teaching assistant and then as a young professor, Bear taught Brown’s pioneering introductory neuroscience class with a spiral-bound stack of photocopied studies and other scrounged readings.
Maxwell–Boltzmann distribution generalized to real gases
The Maxwell–Boltzmann distribution describes the probability distribution of molecular speeds in a sample of an ideal gas. Introduced over 150 years ago, it is based on the work of Scottish physicist and mathematician James Clerk Maxwell (1831–1879) and Austrian mathematician and theoretical physicist Ludwig Boltzmann (1844–1906).
Today, the distribution and its implications are commonly taught to undergraduate students in chemistry and physics, particularly in introductory courses on physical chemistry or statistical mechanics.
In a recent theoretical paper, I introduced a novel formula that extends this well-known distribution to real gases.
“These Students Just Built the Future”: Stanford Team Unleashes Mini AI Robot Dog Created From Scratch, Stuns Experts With Breakthrough DIY Engineering
IN A NUTSHELL 🤖 Stanford University‘s course teaches students to build AI-powered robot dogs, blending education with technology. 🔧 Students learn hands-on robotics skills, from motor control to AI programming, using the “Pupper” quadruped kit. 🧠 The course shifts focus to AI, with students training neural networks to enhance Pupper‘s capabilities. 🌟 The program aims
Cutting to the core of how 3D structure shapes gene activity
In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be helpful for learners to begin with the linear presentation of how stretches of DNA form genes, this oversimplification undersells the significance of the genome’s 3D structure.
To fit in the nucleus of our cells, six feet of DNA is wound up like thread on protein spools called histones. In its packaged form called chromatin, coiled up DNA features many loops and clumps. While it may look random and messy to the untrained eye, these tumbleweed-like shapes bring certain genomic regions into close contact while sheltering others.
Problems with this 3D structure are associated with many diseases including developmental disorders and cancer. Almost 12% of genomic regions in breast cancer cells have incurred issues with their chromatin structure, while other structural issues are known to cause T-cell acute lymphoblastic leukemia.
Andrew Ng: Building Faster with AI
Andrew Ng on June 17, 2025 at AI Startup School in San Francisco.
Andrew Ng has helped shape some of the most influential movements in modern AI—from online education to deep learning to AI entrepreneurship.
In this talk, he shares what he’s learning now: why execution speed matters more than ever, how agentic workflows are changing what startups can build, and why concreteness beats vagueness when turning ideas into products. He reflects on the rise of AI coding assistants, the shifting bottlenecks in product development, and why, despite faster software, it’s still human judgment and responsibility that will shape what comes next.
Apply to Y Combinator: https://ycombinator.com/apply.
Work at a startup: https:/workatastartup.com.
Chapters:
00:00 — Introduction.
00:31 — The Importance of Speed in Startups.
01:13 — Opportunities in the AI Stack.
02:06 — The Rise of Agent AI
04:52 — Concrete Ideas for Faster Execution.
08:56 — Rapid Prototyping and Engineering.
17:06 — The Role of Product Management.
21:23 — The Value of Understanding AI
22:33 — Technical Decisions in AI Development.
23:26 — Leveraging Gen AI Tools for Startups.
24:05 — Building with AI Building Blocks.
25:26 — The Importance of Speed in Startups.
26:41 — Addressing AI Hype and Misconceptions.
37:35 — AI in Education: Current Trends and Future Directions.
39:33 — Balancing AI Innovation with Ethical Considerations.
41:27 — Protecting Open Source and the Future of AI.