Month: November 2022
5 risks of AI and machine learning that modelops remediates
Let’s say your company’s data science teams have documented business goals for areas where analytics and machine learning models can deliver business impacts. Now they are ready to start. They’ve tagged data sets, selected machine learning technologies, and established a process for developing machine learning models. They have access to scalable cloud infrastructure. Is that…
2023 Trends in Artificial Intelligence and Machine Learning: Generative AI Unfolds
At present, the potential for generative Artificial Intelligence—the variety of predominantly advanced machine learning that analyzes content to produce strikingly similar new content—is boundless. These technologies have transcended Natural Language Generation, in which they achieved much of their early renown via paradigms such as Bidirectional Encoder Representations from Transformers (BERT), Generative Pre-trained Transformer 3 (GPT3),…
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs – MIT News
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy grids, and molecular interactions. As researchers collect more data and build out these graphical pictures, researchers will need faster and more efficient methods, as well as more computational…
Artificial intelligence now pens a book – The Financial Express
The auction of the Portrait of Edmond de Belamy in 2018 made the world take notice of the creativity of artificial intelligence (AI), a trait believed to be possessed only by humans. The painting, with signature of the ‘painter’ (a part of the algorithm code) showcased AI’s creative prowess, amid looming fears of rise of…
AWS adds machine learning capabilities to Amazon Connect – CIO
In a bid to help enterprises offer better customer service and experience, Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect.AWS launched Amazon Connect in 2017 in an effort to offer a low-cost, high-value alternative to traditional…
Machine learning model builds on imaging methods to better detect ovarian lesions – The Source – Washington University in St. Louis – Washington University in St. Louis
Although ovarian cancer is the deadliest type of cancer for women, only about 20% of cases are found at an early stage, as there are no real screening tests for them and few symptoms to prompt them. Additionally, ovarian lesions are difficult to diagnose accurately — so difficult, in fact that there is no sign…
Anyscale unveils new tool for building and scaling AI and ML development
Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now. Scaling the resources needed for machine learning (ML) and artificial intelligence (AI) workloads can be a complex task. The need to reliably scale development resources for ML training is…
2023 Trends in Artificial Intelligence and Machine Learning: Generative AI Unfolds
At present, the potential for generative Artificial Intelligence—the variety of predominantly advanced machine learning that analyzes content to produce strikingly similar new content—is boundless. These technologies have transcended Natural Language Generation, in which they achieved much of their early renown via paradigms such as Bidirectional Encoder Representations from Transformers (BERT), Generative Pre-trained Transformer 3 (GPT3),…
Army’s New Small Biz Contract Opportunities Focus on AI/ML, Hydrofluorocarbons – ExecutiveBiz
The U.S. Army has opened three early-stage contract opportunities for U.S.-based small businesses capable of developing materials-readiness technologies using artificial intelligence and machine learning. The Phase I contracts are funded through the Army Applied Small Business Innovation Research Program and are projected to take 6 to 13 months to complete, the service branch said Monday….
Traceable AI Adds Dr. Jisheng Wang in Dual Leadership Role as Head of Artificial Intelligence and Machine Learning and VP of Engineering – PR Newswire
SAN FRANCISCO, Nov. 29, 2022 /PRNewswire/ — Traceable, the industry’s leading API security and observability company, today announced the appointment of Dr. Jisheng Wang as Head of Artificial Intelligence and Machine Learning and VP of Engineering. Dr. Wang brings over 15 years of extensive experience to Traceable in developing industry-leading enterprise software and a proven…