Artificial intelligence (AI)—particularly its most famous iteration, machine learning—has been hailed as the next game-changing technology for military affairs in the lineage of gunpowder, the combustion engine, and the airplane. One of the defining characteristics of AI innovation in today’s geopolitical competition between the United States and China is that it has occurred primarily …….
Polymer membranes are commonly used in industry for the separation of gases like CO2 from flue gas and methane from natural gas. Over several decades, researchers have been studying various polymers to improve their permeability and usefulness but have hit a roadblock when it comes to testing them all in a quick and efficient manner. In a recent publication in Science Advances, UCo…….
Dr. Sephus discusses breaking down barriers to machine learning at Ars Frontiers 2022. Click here for transcript.
Welcome to the week after Ars Frontiers! This article is the first in a short series of pieces that will recap each of the day’s talks for the benefit of those who weren’t able to travel to DC for our first conference. We’ll be run…….
Reddit’s looking to improve its algorithm matching and spam detection, with the acquisition of machine learning platform Spell, which will enhance the platform’s capacity in various ways.
Spell enables teams to run machine learning experiments at scale, which will provide more capacity for Reddit to build its understanding of what works, and how to optimize its systems to ensure be…….
The emergence of new thin semiconductor materials necessitates a quantitative analysis of the entire amount of RHEED records, which is time-consuming and involves expertise. To address this issue, researchers from the Tokyo University of Science identified a machine learning approach that can aid in the automation of RHEED data analysis.
Reflection high-energy electron diffraction (RHEE…….
As artificial intelligence (AI) and machine learning (ML) continues to become more sophisticated, their profound impact has extended to virtually every industry in the world. The legal profession is no exception, and lawyers who fail to embrace AI and ML may soon find themselves at a disadvantage compared to their colleagues who do.
Lawyers can use AI in many ways to improve their eff…….
By Monish Anand, Founder & CEO, MyShubhLife
Since the financial effects of the pandemic have, in certain ways, altered our daily lives, financial institutions have made unprecedented changes in the way they operate in response to economic uncertainty. It reiterated the importance of agility and speed for the modern lending market and set new expectations around transparency and hybr…….
The road to become a machine learning engineer is long yet rewarding. As the need for ML expertise grows, more engineers are pursuing certifications in this discipline. However, the intimidating bottom-up curriculum proposed by most ML specialists is enough to deter many newbies. This article helps to create an easy and efficient learning path for anyone interested in p…….
We are thrilled to announce the general availability of Azure Machine Learning (Azure ML) Kubernetes compute, including support of seamless Azure Kubernetes Service (AKS) integration and Azure Arc-enabled Machine Learning.
With a simple cluster extension deployment on AKS or Azure Arc-enabled Kubernetes (Arc Kubernetes) …….
Hi, folks. Interesting that congressional hearings about January 6 are drawing NFL-style audiences. Can’t wait for the Peyton and Eli version!
The Plain View
The world of AI was shaken this week by a report in The Washington Post that a Google engineer had run into trouble at the company after insisting that a conversational system called LaMDA was, literally, a pe…….