AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.
Under the hood, the company uses what it calls the Context Engine, a powerful semantic search capability that improves AI understanding of codebases beyond simple static and keyword searches used by ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.
The story so far: In 1999, California-based Nvidia Corp. marketed a chip called GeForce 256 as “the world’s first GPU”. Its purpose was to make videogames run better and look better. In the 2.5 ...
Self-generated skills don't do much for AI agents, study finds, but human-curated skills do Teach an AI agent how to fish for information and it can feed itself with data. Tell an AI agent to figure ...
OpenClaw and Moltbook are going viral. But here's why AI agents connected to email and workplace tools with no oversight bring real security risks.
A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...
The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...
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A new method to steer AI output uncovers vulnerabilities and potential improvements
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Efficient Computer Co. says it’s going to make the dream of low-energy artificial intelligence computing a reality after raising $60 million in early-stage funding today.
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