Data and examples related to IMLE-GAN

Making GANs More Inclusive

A typical GAN’s output doesn’t necessarily reflect the data distribution of its training set. Instead, GANs are prone to modeling the majority of the training distribution, sometimes ignoring rare attributes — say, faces that represent minority populations.
Graphs and data related to AI chips

Built for Speed

Chips specially designed for AI are becoming much faster at training neural networks, judging from recent trials. MLPerf, an organization that’s developing standards for hardware performance in machine learning tasks, released results from its third benchmark competition.
Data related to a new reinforcement learning approach

Eyes on the Prize

When the chips are down, humans can track critical details without being distracted by irrelevancies. New research helps reinforcement learning models similarly focus on the most important details.
Partnership in AI, Amazon, Baidu, Google, Facebook, IBM, Microsoft logos

Baidu Leaves Partnership on AI

Baidu backed out of a U.S.-led effort to promote ethics in AI, leaving the project without a Chinese presence. The Beijing-based search giant withdrew from the Partnership on AI, a consortium that promotes cooperation on issues like digital privacy and algorithmic bias.
Illustration of two translators on a scale

Choosing Words Carefully: NLP for Translation Chooses the Right Synonym

The words “big” and “large” have similar meanings, but they aren’t always interchangeable: You wouldn’t refer to an older, male sibling as your “large brother” (unless you meant to be cheeky). Choosing among words with similar meanings is critical in language tasks like translation.
Pumpjacks extracting oil during sunset

Do Oil and Algorithms Mix?

Amazon, Google, and Microsoft are developing machine learning tools for the fossil fuel industry even as they pledge to limit greenhouse gas emissions.
A chatbot called Meena and a graph comparing it with other chatbot services

Toward Open-Domain Chatbots: Meena Scores High on System for Grading NLP Chatbots

Progress in language models is spawning a new breed of chatbots and, unlike their narrow-domain forebears, they have the gift of gab. Recent research tests the limits of conversational AI.
Data related to few-shot learning

Small Data the Simple Way

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.
Captures from AI's Got Talent

AI’s Got Talent: AI Song Contest Replaces Eurovision in 2020

Music that features a “singing” koala bear took the prize in one of Europe’s highest-profile AI competitions yet. A team of Australian programmers, designers, and musicians won the inaugural AI Song Contest with a koala-tinged track called “Beautiful the World.”
Data and graphs related to teacher networks

Flexible Teachers, Smarter Students

Human teachers can teach more effectively by adjusting their methods in response to student feedback. It turns out that teacher networks can do the same.
Road sign with the word "trust"

Toward AI We Can Count On

A consortium of top AI experts proposed concrete steps to help machine learning engineers secure the public’s trust. Dozens of researchers and technologists recommended actions to counter public skepticism toward artificial intelligence, fueled by issues like data privacy.
Illustration of a patient in a hospital bed

Prognosis: Early Warning for Sepsis

An AI-driven alarm system helps rescue patients before infections become fatal. The problem: Machine learning can spot patterns in electronic health data indicating where a patient’s condition is headed that may be too subtle for doctors and nurses to catch.
Information and data related to the meta-algorithm AutoML-Zero

Beyond Neural Architecture Search

Faced with a classification task, an important step is to browse the catalog of machine learning architectures to find a good performer. Researchers are exploring ways to do it automatically.
Schematic of a typical deep learning workflow

(Science) Community Outreach

Are your scientist friends intimidated by machine learning? They might be inspired by a primer from one of the world’s premier tech titans. Former Google CEO Eric Schmidt and Cornell PhD candidate Maithra Raghu school scientists in machine learning in a sprawling overview.
Quantum computing

Quantum Leap

Quantum computing has made great strides in recent years, though it still faces significant challenges. If and when it gets here, machine learning may be ready for it.

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