A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
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 search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
Morning Overview on MSN
Meta patents AI that runs your account after you die and posts forever
Meta has filed a patent describing an artificial intelligence system that could take over a user’s social media account after ...
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, ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...
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