Rice University computer scientist Lydia Kavraki has been elected to the National Academy of Engineering (NAE), one of the highest professional honors accorded to an engineer, for her work on “developing randomized motion-planning algorithms for robotics and robotics-inspired methods in biomedicine.” Kavraki is Rice’s Kenneth and Audrey Kennedy Professor of Computing, and a professor of computer science, […]
Rice Univ. Prof. Lydia Kavraki Elected to National Academy of Engineering for Research in Biomedical Robotics
February 13, 2025 by
Balancing Innovation and Risk: Current and Future Use of LLMs in the Financial Industry
February 6, 2025 by
Large language models (LLMs) have revolutionized how we interact with clients, partners, our teams, and technology within the finance industry. According to Gartner, the adoption of AI by finance functions has increased significantly in the past year, with 58 percent ….
Auquan Launches AI Agent for Financial Services Sustainability Teams
February 6, 2025 by
LONDON and NEW YORK — Feb. 6, 2025 — Auquan, a maker of generative AI solutions for deep work in financial services, today announced the launch of its Sustainability Agent, which Auquan said is the first AI agent purpose-built to liberate sustainability teams from tedious and time-consuming manual work. One-quarter of the top 25 global financial […]
How the Age of Generative AI is Changing a CISOs Approach to Security
December 23, 2024 by
In this contributed article, Chris Peake, Chief Information Security Officer (CISO) and Senior Vice President of Security at Smartsheet, explores how the role of CISOs is evolving to address new security challenges posed by generative AI. The article underscores the importance of collaboration and adaptability to keep organizations secure as AI is expected to continue to reshape cybersecurity in 2025.
Defeating Fraudsters at the Finish Line: The Power of AI in Gaming Transactions
December 20, 2024 by
In this contributed article, Zach Nass, Head of Gaming and Prepaid at nSure.ai, discusses how the gaming industry can tackle payment fraud using advanced AI solutions.
AI Expert: More Must Be Done to Protect Data Privacy in the AI Age
December 16, 2024 by
In this contributed article, Chris Stephenson, Managing Director of Intelligent Automation, AI & Digital Services at alliant, discusses why more must be done to protect data privacy in the AI age. LinkedIn’s covert data grab is just one example of how the data scarcity problem is prompting AI companies to get creative at the expense of consumer privacy.
How Generative AI Can Transform the Future of Identity and Access Management
December 13, 2024 by
In this contributed article, Anirban Bhattacharya dives into how generative AI addresses persistent challenges like proper role definition, inefficient access reviews, and the limitations of static authentication methods. From AI-driven threat detection to delivering seamless, personalized user experiences, this article outlines the innovative ways generative AI is shaping the future of IAM.
Why Trust is the Foundation of AI Content Production
December 6, 2024 by
In this contributed article, Joshua Ray, founder and CEO of Blackwire Labs, discusses how AI is ushering in a new era of productivity and innovation, but it’s no secret that there are urgent issues with the reliability of systems such as LLMs and other forms of AI-enabled content production. From ubiquitous LLM hallucinations to the lack of transparency around how “black box” machine learning algorithms make predictions and decisions, there are fundamental problems with some of the most widely used AI applications. This hinders AI adoption and generates resistance to the technology.
Tuskira Emerges from Stealth with $28.5M to Launch AI-Powered Unified Threat Defense Platform
December 6, 2024 by
Tuskira, a pioneering threat defense platform leveraging an AI-powered security mesh, has launched out of stealth mode with $28.5 million in funding. The round was led by Intel Capital and SYN Ventures, with participation from Sorenson Capital, Rain Capital, Wipro Ventures, and other key industry leaders.
AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs
December 5, 2024 by
In this contributed article, Dr. Stefan Leichenauer, Vice President of Engineering and lead scientist at SandboxAQ, discusses the profound evolution that is now emerging: Large Quantitative Models (LQMs), designed to tackle complex real-world problems in areas such as healthcare, climate science, and materials design, are set to revolutionize industries and unlock new AI-powered breakthroughs for some of the world’s greatest challenges.
