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Summary: Adolescents are known for making less optimal, noisy decisions, but a recent study reveals that these tendencies decrease with age and are linked to improvements in complex decision-making skills. Researchers found that decision noise, or variability in choices, mediates age-related gains in goal-directed behaviors and adaptability.

Adolescents may rely on less efficient strategies due to limited cognitive resources, which makes them more susceptible to emotional and motivational influences. These findings shed light on the computational mechanisms behind developmental shifts in decision-making and open avenues for understanding neurodevelopmental disorders.

From education to work and leisure, internet access is essential to modern life. Yet, since the first days of the world wide web, this access has been unequal. The US, France and the UK gained a headstart in the 1990s and developing countries have been seeking to catch up ever since.

One region where this process is now complete is the Arabian Peninsula. From relative obscurity in connectivity rankings three decades ago, countries such as the United Arab Emirates (UAE) and Qatar have leapfrogged their Western peers. Look at measures of internet speeds, in fact, and the UAE now leads the world.1 Having delivered internet access at home, e& (etisalat and), the telecommunications giant and leading global technology group headquartered in the UAE, hopes to expand connectivity worldwide.

Researchers from Johns Hopkins University have recently discovered several prominent biomarkers that allow for the early diagnosis of dementia and/or mild cognitive impairment (MCI). In a recently published article, evidence has been presented that patients with diabetes type 2 exhibited more changes to their brains than healthy controls, including the shrinking of certain brain areas. These changes occurred earlier in life, and some of the patients developed MCI sooner than others.

The Older Controls at Risk for Dementia (BIOCARD) study is a long-term trial which has been conducted for the past 27 years with the goal of determining how medical conditions and other factors might be impacting cognitive function and perhaps even affecting the biological age of the brain as a whole. BIOCARD was originally a National Institutes of Health initiative, which began in 1995 and later continued at Johns Hopkins University from 2015 to 2023. The cohort consisted of 185 participants, with an average age of 55 years and normal cognitive function.

The trial subjects received routine brain scans and cerebrospinal fluid (CSF) tests for 20 years, in order to measure changes in brain structures and levels of proteins associated with Alzheimer’s disease. Scientists have been increasingly using CSF to attempt to uncover early signs of neurodegenerative disease, since it is a minimally-invasive procedure which is inexpensive and widely available.

Predictable improvements in intelligence. He wondered if he was crazy or in a cult when he tried explaining it to others and they didn’t understand it. — - — 👉 Before you go 👋 If you want to keep up with the latest news on AI startups and how they’re changing the world, join 1000+ subscribers reading our newsletter for FREE! Link in bio. — - — #samaltman #openai #gpt3 #gpt4 #gpt4o #artificialintelligence #scalemodels #scaling #todayinai

Mark Zuckerberg says thatInstagram Reels will now start to automate dubbing with AI, starting with English and Spanish, and shows a demonstration. — - — 👉 Before you go 👋 If you want to keep up with the latest news on AI startups and how they’re changing the world, join 1000+ subscribers reading our newsletter for FREE! Link in bio. — - — #markzuckerberg #zuck #aidubbing #largelanguagemodels #todayinai

The chess pieces of artificial intelligence are being dramatically rearranged. While previous iterations of AI focused on making predictions or generating content, we’re now witnessing the emergence of something far more sophisticated: AI agents that can independently perform complex tasks and make decisions. This third wave of AI, known as ‘agentic AI,’ represents a fundamental shift in how we think about and interact with artificial intelligence in the workplace.

To appreciate where we’re heading, it’s essential to understand where we’ve been. “The first wave was really predictive AI,” explains Silvio Savarese, Executive Vice President and Chief Scientist of Salesforce AI Research. This initial wave enabled businesses to forecast trends and make data-driven decisions. The second wave brought us generative AI, which Savarese describes as the ability to “generate content and allow conversations with humans.” Now, we’re entering the third wave — agentic AI — where AI systems can autonomously execute tasks and interact with other AI agents.