AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.
Florida Polytechnic University’s newest high-tech addition is making dining on campus a little easier, and a lot more fun. With just a few taps on a phone screen, autonomous delivery robots can quickly deliver bagels, burritos, lattes and much more to Phoenixes throughout campus. Florida Poly’s Phoenix Dining, managed by Chartwells Higher Education Dining Services, […]
Agibot, a leading robotics company specializing in embodied intelligence, said it has rolled out its 10,000th humanoid robot, becoming one of the first companies in the industry to reach this milestone at scale. More than a production figure, the achievement marks a significant step forward for the robotics industry, signaling a transition from early-stage validation […]
Robotics teams rarely struggle because a part cannot be printed at all. More often, they lose time because a part arrives with the wrong material, the wrong orientation, a missed drawing note, or small inconsistencies that only become obvious during assembly or testing. That is why speed alone is not enough. For robotics teams, a […]
There’s a quiet shift happening in eCommerce. For a long time, brands were obsessed with getting new customers – bigger ad budgets, wider reach, more traffic. But lately, the smarter ones are asking a different question: How do we keep the customers we already have? Because the truth is, growth doesn’t really come from constant […]
Robots make work faster, cleaner, and more consistent. They also change how risk shows up on the floor. The danger is not only the moving arm, but also the in-between moments, when a cell is paused, a jam is cleared, or a quick adjustment turns into hands inside the fence. Operators sit closest to these […]
Festo has introduced the HPSX Universal Adaptive Gripper, a pneumatic soft gripper engineered to improve speed, hygiene and flexibility in demanding food, pharmaceutical and cosmetics applications. Combining robust design, food-safe materials and adaptive silicone fingers, the HPSX directly addresses long-standing automation challenges where rapid, precise and gentle product handling is essential. Peter Potters, product manager […]
Corvus Robotics and Southern Glazer’s Wine & Spirits have agreed a strategic technology partnership and expanded deployment of the Corvus One autonomous inventory management system across Southern Glazer’s distribution network. Over the past 18 months, Southern Glazer’s has deployed more than 40 Corvus One autonomous drones across nine distribution centers nationwide, with continued expansion planned. […]
AI’s growing energy use sounds alarming, but its global climate impact may be far smaller than expected. Researchers found that while AI consumes huge amounts of electricity, it barely moves the needle on overall emissions. The real impact is more localized, especially around data centers. Meanwhile, AI could become a powerful tool for building greener technologies.
A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how easy each tomato will be to harvest and adjusts its approach accordingly. This smarter strategy boosted success rates to 81%, with the robot even switching angles when needed. The breakthrough could pave the way for farms where robots and humans work side by side.
A new study put ChatGPT to the test by asking it to judge whether hundreds of scientific hypotheses were true or false—and the results were far from reassuring. While the AI got it right about 80% of the time on the surface, its performance dropped significantly when accounting for random guessing, revealing only modest reasoning ability. Even more concerning, it frequently contradicted itself when asked the exact same question multiple times, sometimes flipping answers back and forth.
Artificial intelligence is often portrayed as a tool that replaces human work, but new research from Swansea University suggests a far more exciting role: creative collaborator. In a large study with more than 800 participants designing virtual cars, researchers found that AI-generated design galleries sparked deeper engagement, longer exploration, and better results.
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.
Scientists at the University of New Hampshire have unleashed artificial intelligence to dramatically speed up the hunt for next-generation magnetic materials. By building a massive, searchable database of 67,573 magnetic compounds — including 25 newly recognized materials that stay magnetic even at high temperatures — the team is opening the door to cheaper, more sustainable technologies.
Scientists warn that rapid advances in AI and neurotechnology are outpacing our understanding of consciousness, creating serious ethical risks. New research argues that developing scientific tests for awareness could transform medicine, animal welfare, law, and AI development. But identifying consciousness in machines, brain organoids, or patients could also force society to rethink responsibility, rights, and moral boundaries. The question of what it means to be conscious has never been more urgent—or more unsettling.
Dinosaur footprints have always been mysterious, but a new AI app is cracking their secrets. DinoTracker analyzes photos of fossil tracks and predicts which dinosaur made them, with accuracy rivaling human experts. Along the way, it uncovered footprints that look strikingly bird-like—dating back more than 200 million years. That discovery could push the origin of birds much deeper into prehistory.
AI may learn better when it’s allowed to talk to itself. Researchers showed that internal “mumbling,” combined with short-term memory, helps AI adapt to new tasks, switch goals, and handle complex challenges more easily. This approach boosts learning efficiency while using far less training data. It could pave the way for more flexible, human-like AI systems.
A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain creativity tests. Models like GPT-4 showed strong performance on tasks designed to measure original thinking and idea generation, sometimes outperforming typical human responses. But there’s a clear ceiling. The most creative humans — especially the top 10% — still leave AI well behind, particularly on richer creative work like poetry and storytelling.
Scientists have discovered that the human brain understands spoken language in a way that closely resembles how advanced AI language models work. By tracking brain activity as people listened to a long podcast, researchers found that meaning unfolds step by step—much like the layered processing inside systems such as GPT-style models.
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced brain-like activity without any training at all. This challenges today’s data-hungry approach to AI development. The work suggests smarter design could dramatically speed up learning while slashing costs and energy use.