A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Morning Overview on MSN
Scientists grew mini brains and trained them to crack an engineering problem
Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.
Morning Overview on MSN
YouTube glitch traps 320,000 users on frozen blank screens as algorithm melts down
YouTube’s recommendation engine failed on February 17, 2026, stranding hundreds of thousands of users on blank, unresponsive screens across the main platform, YouTube Music, and YouTube Kids. The ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...
One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...
Opinion
The Learning-Authority Dilemma: What Happens When AI Agent Capability Exceeds Human Oversight?
We stand at a turning point in artificial intelligence. For years, we built AI systems that followed our commands. Now, we are building AI agents that do not just follow commands, but learn, adapt, ...
Leveraging Machine Learning Algorithms for Threat Detection Using AI-Enhanced Cybersecurity Datasets
Abstract: This study uses an AI-enhanced cybersecurity events dataset to utilize the effectiveness of leveraging machine learning algorithms Logistic Regression, Decision Tree, and Random Forest for ...
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