One of AI’s leading researchers has a simple piece of career advice for young people worried about future-proof skills in the ChatGPT era: be curious.
“I think one job that will not be replaced by AI is the ability to be curious and go after hard problems,” Anima Anandkumar, a professor at the California Institute of Technology, said in an interview with EO Studio that aired on Monday.
“So for young people, my advice is not to be afraid of AI or worry what skills to learn that AI may replace them with, but really be in that path of curiosity,” Anandkumar added.
Digital transformation is blurring the lines between the physical, digital and biological spheres. From cloud computing, to Artificial Intelligence (AI) and Big Data, technologies of the Fourth Industrial Revolution (4IR) are shaping every aspect of our lives.
In the oil and gas industry, digital transformation is revolutionizing how we supply energy to the world. By deploying a range of 4IR technologies across our business, we aim to meet the world’s energy needs while enhancing productivity, reducing CO2 emissions, and creating next-generation products and materials.
This month’s AI news covers major breakthroughs, including humanoid robots that run and think faster than humans, and China deploying real robotic AI police on the streets. We also explore DeepMind accidentally breaking its own AI, Microsoft building its most efficient model yet, and Meta releasing a two-trillion-parameter AI called Llama 4. Plus, DeepSeek’s new self-learning AI, China’s ultra-fast AI agents, and next-gen video generators that look more real than reality are changing the game.
A humanoid robot that runs and thinks faster than humans
China’s real AI-powered police robots now patrolling streets
DeepSeek’s new self-learning AI rivaling top-tier models
DeepMind breaks its own AI with a single prompt
Microsoft accidentally creates its most efficient AI yet
Meta releases a massive two-trillion-parameter model
China unveils ultra-fast AI agents and hyper-real video generators
🎥 What You’ll See:
Advanced humanoid AI in action
Robotic cops deployed across Chinese cities
Self-improving AI models that beat OpenAI in key areas
DeepMind’s AI failure revealing system vulnerabilities
Meta’s Llama 4 shaking up the AI model race
China’s AI creating videos that look better than real life
📊 Why It Matters: From real-world AI deployments to record-breaking models, this month shows how fast AI is evolving—reshaping robotics, security, video generation, and self-learning systems in ways we’ve never seen before. #ai #openai #deepseek. Get the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/
🔍 What’s Inside: A humanoid robot that runs and thinks faster than humans. China’s real AI-powered police robots now patrolling streets. DeepSeek’s new self-learning AI rivaling top-tier models. DeepMind breaks its own AI with a single prompt. Microsoft accidentally creates its most efficient AI yet. Meta releases a massive two-trillion-parameter model. China unveils ultra-fast AI agents and hyper-real video generators.
🎥 What You’ll See: Advanced humanoid AI in action. Robotic cops deployed across Chinese cities. Self-improving AI models that beat OpenAI in key areas. DeepMind’s AI failure revealing system vulnerabilities. Meta’s Llama 4 shaking up the AI model race. China’s AI creating videos that look better than real life.
📊 Why It Matters: From real-world AI deployments to record-breaking models, this month shows how fast AI is evolving—reshaping robotics, security, video generation, and self-learning systems in ways we’ve never seen before.
MIT CSAIL researchers developed “linear oscillatory state-space models” to leverage harmonic oscillators. Capturing the stability and efficiency of biological neural systems and translating these principles into a machine learning framework, the LinOSS approach can help predict complex systems.
In this week’s episode we interview author, AI theorist and researcher David Shapiro is part philosopher, part theorist with a fair bit of practical wisdom thrown in. With a hit YouTube channel Shapiro travels the globe as a speaker and advisor musing on the longer-term impacts of AI, technology and human adaptability. In this deep conversation with host Brett King, we delve into the ways in which advanced AI might completely transform our way of life, including economics, politics and what it means to be human itself. This is not one you’ll want to miss.
ABOUT SHOW Subscribe and listen to TheFuturists.com Podcast where hosts Brett King and Robert TerceK interview the worlds foremost super-forecasters, thought leaders, technologists, entrepreneurs and futurists building the world of tomorrow. Together we will explore how our world will radically change as AI, bioscience, energy, food and agriculture, computing, the metaverse, the space industry, crypto, resource management, supply chain and climate will reshape our world over the next 100 years. Join us on The Futurists and we will see you in the future!
University of Toronto Scarborough researchers have harnessed artificial intelligence (AI) and brain activity to shed new light on why we struggle to accurately recognize faces of people from different races.
Across a pair of studies, researchers explored the Other-Race-Effect (ORE), a well-known phenomenon in which people recognize faces of their own race more easily than others. They combined AI and brain activity collected through EEG (electroencephalography) to reveal new insights into how we perceive other-race faces, including visual distortions more deeply ingrained in our brain than previously thought.
“What we found was striking—people are so much better at seeing the facial details of people from their own race,” says Adrian Nestor, associate professor in the Department of Psychology and co-author of the studies.
In physics, a phase transition is a transformation of a substance from one form to another. They happen everywhere, from beneath the Earth’s crust to the cores of distant stars, but the classic example is water transitioning from liquid to gas by boiling.
Things get much more complex when physicists zoom in on the minuscule quantum realm or work with exotic matter. Understanding phase transitions rewards both increased knowledge of fundamental physics and future technological applications.
Now researchers have found out how thin layers of noble gases like helium and metals like aluminum melt in confined spaces by topological excitations. In the study, the layers were confined between two graphene sheets at high pressures.
