AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...
Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...
Obsessing over model version matters less than workflow.
Bioprocessing data is often scattered across electronic laboratory notebooks (ELNs), laboratory information management systems (LIMS), instruments, spreadsheets, and legacy systems that don’t talk to ...
A panel of human judges decided if the model’s work matched or exceeded the output of a skilled human worker. Here's what ...
OpenAI has released GPT-5.2, claiming significant gains in the AI model’s ability to complete real-world business tasks to an ...
Reputation now depends less on direct communication and more on how you’re interpreted by generative AI models.
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
In 2025, homebuilders adopt data-driven management, using clear definitions and reporting to enhance decision-making and ...
Lastly, GWM Avatars combines generative video and speech in a unified model to produce human-like avatars that emote and move ...
Ai2 updates its Olmo 3 family of models to Olmo 3.1 following additional extended RL training to boost performance.
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