Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
GitHub

R package BayesBrainMap implementing Bayesian brain mapping for individual functional topography and connectivity

This package contains functions implementing the BrainMap model proposed in Mejia et al. (2019) and the spatial BrainMap model proposed in proposed in Mejia et al. (2020+). (Previously, these models ...
Search Engine Land

How Bayesian testing lets Google measure incrementality with $5,000

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...
Frontiers

A study of feasibility and detection sensitivity of environmental DNA for fish biodiversity monitoring and stock assessment in the Black Sea

Institute of Oceanology, Bulgarian Academy of Sciences (IO-BAS), Varna, Bulgaria Introduction: Human activities and their effects on ecosystems are threatening biodiversity and causing a decline in ...
Times Union

Whether implementing or slowing green energy mandates, Hochul cites affordability

Electric building and cap-and-trade program face different kinds of pauses amid legal battles and concern over grid reliability Gov. Kathy Hochul is delaying some elements of her clean energy agenda ...
The Motley Fool

Google's Latest AI Chip Puts the Focus on Inference

Google expects an explosion in demand for AI inference computing capacity. The company's new Ironwood TPUs are designed to be fast and efficient for AI inference workloads. With a decade of AI chip ...
Milwaukee Journal Sentinel

Wisconsin school districts finding successes — and challenges — in implementing Act 20

Wisconsin's Act 20 literacy bill requires schools to use phonics-based reading instruction and screen young students for reading challenges. School districts have reported both successes, like ...
The Next Platform

How Qualcomm Can Compete With Nvidia For Datacenter AI Inference

Qualcomm had datacenter envy back when Intel ruled the bit barns of the world, and now it has it even worse now that Nvidia has shown how AI processing can utterly transform the finances of a chip ...
Optics

Optimizing deployment costs of inspection functions with Inference Deep Learning Licenses.

Euresys announce the availability of Cost-Effective Inference Licenses for image classification, supervised or unsupervised segmentation and object localization. When implementing Deep Learning on ...
EDN

Purpose-built AI inference architecture: Reengineering compute design

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...
The Next Platform

Nvidia Disaggregates Long-Context Inference To Drive Bang For The Buck

It is beginning to look like that the period spanning from the second half of 2026 through the first half of 2027 is going to be a local maximum in spending on XPU-accelerated systems for AI workloads ...
Wired

The Superyacht, the Billionaire, and a Wildly Improbable Disaster at Sea

In the predawn hours of August 19, 2024, bolts of lightning began to fork through the purple-black clouds above the Mediterranean. From the rail of a 184-foot vessel, a 22-year-old named Matthew ...