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Scientists working at the intersection of AI and cancer care need to be more transparent about their methods and publish research that is reproducible, according to a new commentary co-authored by CSAIL's Tamara Broderick.

Featured

Scientists working at the intersection of AI and cancer care need to be more transparent about their methods and publish research that is reproducible, according to a new commentary co-authored by CSAIL's Tamara Broderick.

Op-ed: medical AI needs more transparency, reproducibility
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Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments.

New deep learning models require fewer neurons

ORGANIZATIONS. SHAPING THE INDUSTRY.

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The Next Byte

Entertainment

The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...

165 Posts

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EPFL

University

Located in Switzerland, EPFL is one of Europe’s most vibrant and cosmopolit...

56 Posts

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Photoneo

Industrial Automation

Photoneo develops industrial 3D vision, robotic intelligence software, and ...

54 Posts

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High Tech Campus Eindhoven

High Tech

High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...

49 Posts

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ETH Zurich

University for science and technology

Freedom and individual responsibility, entrepreneurial spirit and open-​min...

43 Posts

Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.

The Rise of Intelligent EV Hardware

Latest Posts

When a natural disaster occurs, on-the-ground emergency response teams act quickly to make life-saving decisions. Reducing the response time in such situations is critical to reduce damage impact and save lives.

Detecting and responding to incidents with images