Features

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…

Big Graph Workloads Need Big Cloud Hardware, Katana Graph Says

According to Gartner, graph technologies will be used in 80% of data and analytics innovations by 2025, a significant increase from the 10% used in 2021. One of the companies hoping to capture a piece of this booming mar Read more…

Google’s Massive New Language Model Can Explain Jokes

Nearly two years ago, OpenAI’s 175 billion-parameter GPT-3 language model opened the world’s eyes to what large language models (LLMs) could accomplish with relatively little input, sensibly answering questions, tran Read more…

Can We Trust AI — and Is That Even the Right Question?

AI is becoming more ubiquitous, from everyday voice assistants and online shopping to healthcare and workplace management — but can we trust it? That question was the headline of a panel called “Can We Trust AI?” d Read more…

O’Reilly Report Shows Relational DB Momentum, No AI Slowdown

O’Reilly has released its Technology Trends for 2022 report, highlighting trends in its data spanning technologies from cloud and AI to databases and the metaverse. Among its conclusions: a bright and continuing future Read more…

News In Brief

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…

Samsung Announces 24Gbps GDDR6 DRAM for 30% Faster Speeds

Samsung Electronics announced Thursday it has begun sampling a 16GB Graphics Double Data Rate 6 (GDDR6) DRAM featuring 24-gigabit-per-second processing speeds. The new high-speed memory chips for graphics cards are bu 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…

Data Integrity Firm Highlights High-Risk Wildfire Areas in Texas

Increasingly brutal and early wildfire seasons have regularly devastated arid regions of the United States, annually burning millions of acres of land and causing tens of billions of dollars in damage. Predicting these a Read more…

Domain Codex Releases Domain Intelligence Search Engine

There are hundreds of millions of registered domain names in the world, with tens of millions of new domains registered every year. Meaningfully combing through these domain names — and the data associated with them � Read more…

This Just In

Rice University Researchers Uncover Bias in Machine Learning Tools for Immunotherapy

Feb 16, 2024 |

HOUSTON, Feb. 16, 2024 — Rice University computer science researchers have found bias in widely used machine learning tools used for immunotherapy research.

Ph.D. Read more…

Berkeley Lab Applies Data-Driven Methods in Traumatic Brain Injury Research

Feb 14, 2024 |

Feb. 14, 2024 — In a paper published December 1, 2023, in Nature Scientific Reports, researchers from Lawrence Berkeley National Laboratory (Berkeley Lab), the University of California, San Francisco (UCSF), the Medical College of Wisconsin, and the University of California Berkeley – in conjunction with the TRACK-TBI (Transforming Research and Clinical Knowledge in Traumatic Brain Injury) collaboration – describe how machine learning methods can enhance the prognosis and understanding of traumatic brain injury (TBI). Read more…

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