Reliant AI, a provider of gen AI-powered data analytics software, announced its launch out of stealth with $11.3 million in seed funding. The new capital was co-led by Tola Capital and Inovia Capital, with participation from angel investor Mike Volpi.
GenAI Analytics Provider, Reliant AI, Launches Out of Stealth with $11.3M In Seed Funding
August 26, 2024 by
RAND AI Governance Series: How U.S. policymakers can learn from the EU AI Act
August 24, 2024 by
RAND kicked off a new series of short reports designed to provide policymakers in the U.S. with potential learnings from the EU AI act on key facets of AI governance. The series, written by researchers on both continents, highlights the need for deepening collaboration between the EU and the U.S. as any regulatory progress in these regions will have far-reaching effects on the broader societal, legal and ethical consequences of AI adoption globally.
How AI Enhances Government Payment Processes – Survey Reveals Critical Inefficiencies
August 23, 2024 by
In this contributed article, Niko Spyridonos, CEO and Founder of Autoagent Data Solutions, discusses local governments and their use of AI and automation technologies. Niko is a strong proponent of such systems and he has some government survey data that shows we need to move deeper in this area.
New Research: Healthcare + Life Sciences Leading Industries in AI Adoption
August 22, 2024 by
Vultr’s latest industry report, Unlocking the Power of AI in Healthcare & Life Sciences, outlines the AI adoption and maturity successes the Healthcare & Life Sciences (H&LS) sector have implemented to positively impact enterprises and their finances.
Turnitin Empowers Educators with New Offerings as AI Moves into Schools
August 22, 2024 by
Today, Turnitin, a leading provider of technology solutions in academic integrity, announced it will expand its offerings to advance classroom digitization through AI-powered grading, enhanced AI writing detection and customizable individual feedback for students.
Trend Micro Strengthens AI Deployments for Enterprises and Governments with NVIDIA AI Enterprise
August 7, 2024 by
Trend Micro Incorporated (TYO: 4704; TSE: 4704) has launched multiple efforts to shape the future of AI implementation by enterprises and governments. The new solution, included in Trend Micro’s Vision One™ Sovereign Private Cloud — powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform — will allow organizations to maximize the potential of the AI era while maintaining business resilience.
AI’s Role in Harmonizing Energy Supply With Consumer Demand
August 3, 2024 by
In this contributed article, freelance writer Ellie Gabel discusses how the power grid is aging and can no longer keep up with consumers’ needs. Without adequate intervention, blackouts will soon become a regular occurrence. Could artificial intelligence be the key to fixing the country’s supply and demand woes?
SandboxAQ Helps Unlock the Next Generation of AI-Driven Chemistry with NVIDIA Technology
July 23, 2024 by
SandboxAQ announced today a groundbreaking advancement that pushes the limits of computational chemistry, impacting fields such as biopharma, chemicals, materials science and other industries. Collaborating with NVIDIA, SandboxAQ leverages Large Quantitative Models (LQMs) and the NVIDIA CUDA-accelerated Density Matrix Renormalization Group (DMRG) algorithm.
HPC/AI User Forum Event September 4-5 at Argonne National Laboratory, Lemont, Illinois Features Real-World Uses of AI in Industry, Science & Energy
July 21, 2024 by
The HPC User Forum, established in 1999 to promote the health of the global HPC industry and address issues of common concern to users, has opened registration for its upcoming meeting, September 4-5, 2024, at Argonne National Laboratory in Lemont, Illinois.
IOP Publishing Launches Series of Open Access Journals Dedicated to Machine Learning and AI for the Sciences
July 19, 2024 by
IOP Publishing (IOPP) launched a series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the sciences. The new multidisciplinary Machine Learning series will collectively cover applications of ML and AI across the physical sciences, engineering, biomedicine and health, and environmental and earth science.
