Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Entity-Event Knowledge Graph Solutions, announced that its Allegro CL (Allegro Common Lisp) dynamic object-oriented development system used by the Space Telescope Science Institute to develop the SPIKE Hubble Space Telescope observation scheduler has aided in the discovery of “Earendel,” the farthest star ever seen in the universe.
Franz’s Allegro CL® Used for Scheduling the Hubble Space Telescope Discovery of Earendel
April 2, 2022 by
State of Data Report Emphasizes Emerging Shift to a Decentralized Model
March 30, 2022 by
New market research commissioned by Starburst and Red Hat uncovers that 55% of organizations claim the pandemic has made data access more critical, a slight increase from the 2021 study. As a result, enterprises plan to prioritize multi-cloud flexibility and ease of use when it comes to selecting data infrastructure solutions. The second annual report, “The State of Data and What’s Next,” conducted by independent research firm Enterprise Management Associates (EMA), found that the shift to quick and flexible deployments is imperative for driving the business functions and insights required to deliver valuable customer experiences in today’s fast-paced, distributed environment.
New Quantum Computing Research Shows Promising Path to Commercialization
March 26, 2022 by
Agnostiq, Inc., the quantum computing SaaS startup, announced its latest benchmark research which analyzed the state of quantum computing hardware to determine its current and future practicality as a mainstream solution. The findings show that quantum computing hardware has improved over time and that application-specific benchmarks can serve as a more practical yardstick for comparing the capabilities of alternative types of quantum hardware.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2021
January 6, 2022 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – November 2021
December 17, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2021
August 16, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2021
July 19, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Why Predictive Analytics Is Crucial for Maximizing College Retention Efforts
June 8, 2021 by
In this contributed article, Bryan Bell, Chief Data Scientist at Aviso Retention, discusses how using data analytics and business intelligence programs to make smarter student enrollment choices helped colleges reduce their “summer melt” by about 1 percent last fall. These colleges also performed three times better than the national average in terms of their fall 2020 enrollment figures.
KDD 2020 Recognizes Winning Teams of 24th Annual KDD Cup
October 11, 2020 by
Across Four Competition Tracks, KDD Cup 2020 Tackled E-Commerce, Generative Adversarial Networks, Automatic Graph Representation Learning, Automated Machine Learning, Mobility-on-Demand (MoD) Platforms and Reinforcement Learning. KDD 2020, the premier interdisciplinary conference in data science, recognized over sixty winning teams in this year’s KDD Cup competition, which took place virtually Aug. 23-27, 2020.
KDD 2020 Showcases Brightest Minds in Data Science and AI
August 21, 2020 by
The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) will hold its flagship annual conference, KDD 2020, virtually, August 23-27. The KDD conference series, started in 1989, is the world’s oldest and largest data mining conference, and is the venue where concepts such as big data, data science, predictive analytics and crowdsourcing were first introduced.
