Author » Oliver Peckham
Neuron Research Opens Doors for Neuromorphic Computing
Neuromorphic computing — which uses computational “neurons” to mimic the behavior of the human brain — could offer much greater efficiency in certain kinds of machine learning and robotics tasks. Understanding th Read more…
Nvidia’s Hopper GPUs Enter ‘Full Production,’ DGXs Delayed Until Q1
Just about six months ago, Nvidia’s spring GTC event saw the announcement of its hotly anticipated Hopper GPU architecture. Now, the GPU giant is announcing that Hopper-generation GPUs (which promise greater energy eff Read more…
BLOOM Large Language Model Breaks Down the Walled Garden
For the past couple of years, everyone from AI experts to the general public has been entranced by the often astonishing output of large language models (LLMs) like GPT-3 and DALL•E 2. These models, using narrative inp Read more…
IBM Research Open-Sources Deep Search Tools
IBM Research’s Deep Search product uses natural language processing (NLP) to “ingest and analyze massive amounts of data—structured and unstructured.” Over the years, Deep Search has seen a wide range of scientif Read more…
Amazon re:MARS Highlights Intelligence from Shops to Space
Amazon hosted its inaugural re:MARS event back in 2019, with “MARS” here standing for machine learning, automation, robotics, and space. For the past two years, the event has been on hold due to the pandemic—but th Read more…
Apache Doris Analytical Database Graduates from Apache Incubator
Any candidate for the Apache Software Foundation (ASF) and its arsenal of enterprise-grade, open-source software for the public good first goes through the Apache Incubator. Now, the latest project has graduated from the Read more…
OpenAI’s DALL·E 2 Is Surreal
About 15 months ago, OpenAI—famed for its eerily effective GPT-3 large language model—introduced a child system to that language model: the cleverly named “DALL·E,” a 12-billion parameter neural network that gen Read more…
MIT Advances Unsupervised Computer Vision with ‘STEGO’
Training machine learning models often means working with labeled data. For computer vision tasks, this might look, for instance, like an hour of camera footage from a car, meticulously sectioned by humans to designate r Read more…
GIST Researchers Make Robot Vision Breakthrough
Robot vision increasingly pervades processes ranging from manufacturing—where robots have to manipulate difficult objects—and autonomous driving—where cars have to identify and respond to different kinds of obstacl Read more…
New ‘CALF’ Algorithm Identifies Data Patterns, Predicts Risk for Disease
LASSO regression—short for “least absolute shrinkage and selection operator”—is considered a gold standard for identifying patterns in data. Now, researchers from UNC-Chapel Hill’s Renaissance Computing Institu Read more…
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