Building a Rules Engine from First PrinciplesTowards Data Science How recasting propositional logic as sparse algebra leads to an elegant and efficient design
The post Building a Rules Engine from First Principles appeared first on Towards Data Science.
How recasting propositional logic as sparse algebra leads to an elegant and efficient design
The post Building a Rules Engine from First Principles appeared first on Towards Data Science. Read More
Introducing Aardvark: OpenAI’s agentic security researcherOpenAI News OpenAI introduces Aardvark, an AI-powered security researcher that autonomously finds, validates, and helps fix software vulnerabilities at scale. The system is in private beta—sign up to join early testing.
OpenAI introduces Aardvark, an AI-powered security researcher that autonomously finds, validates, and helps fix software vulnerabilities at scale. The system is in private beta—sign up to join early testing. Read More
Expanding Stargate to MichiganOpenAI News OpenAI is expanding Stargate to Michigan with a new one-gigawatt campus that strengthens America’s AI infrastructure. The project will create jobs, drive investment, and support economic growth across the Midwest.
OpenAI is expanding Stargate to Michigan with a new one-gigawatt campus that strengthens America’s AI infrastructure. The project will create jobs, drive investment, and support economic growth across the Midwest. Read More
“Systems thinking helps me put the big picture front and center”Towards Data Science Shuai Guo on deep research agents, analytical AI vs LLM-based agents, and systems thinking
The post “Systems thinking helps me put the big picture front and center” appeared first on Towards Data Science.
Shuai Guo on deep research agents, analytical AI vs LLM-based agents, and systems thinking
The post “Systems thinking helps me put the big picture front and center” appeared first on Towards Data Science. Read More
Bending Spoons’ acquisition of AOL shows the value of legacy platformsAI News The acquisition of a legacy platform like AOL by Bending Spoons shows the latent value of long-standing digital ecosystems. AOL’s 30 million monthly active users represent an enduring brand and a data-rich resource that can be used in AI-driven services. That statement is true only if the data is properly governed and integrated. Such deals
The post Bending Spoons’ acquisition of AOL shows the value of legacy platforms appeared first on AI News.
The acquisition of a legacy platform like AOL by Bending Spoons shows the latent value of long-standing digital ecosystems. AOL’s 30 million monthly active users represent an enduring brand and a data-rich resource that can be used in AI-driven services. That statement is true only if the data is properly governed and integrated. Such deals
The post Bending Spoons’ acquisition of AOL shows the value of legacy platforms appeared first on AI News. Read More
Author: Derrick D. JacksonTitle: Founder & Senior Director of Cloud Security Architecture & RiskCredentials: CISSP, CRISC, CCSPLast updated October 30th, 2025 Hello Everyone, Help us grow our community by sharing and/or supporting us on other platforms. This allow us to show verification that what we are doing is valued. It also allows us to plan and […]
How AGI became the most consequential conspiracy theory of our timeMIT Technology Review Are you feeling it? I hear it’s close: two years, five years—maybe next year! And I hear it’s going to change everything: it will cure disease, save the planet, and usher in an age of abundance. It will solve our biggest problems in ways we cannot yet imagine. It will redefine what it means to…
Are you feeling it? I hear it’s close: two years, five years—maybe next year! And I hear it’s going to change everything: it will cure disease, save the planet, and usher in an age of abundance. It will solve our biggest problems in ways we cannot yet imagine. It will redefine what it means to… Read More
Chatbots are surprisingly effective at debunking conspiracy theoriesMIT Technology Review It’s become a truism that facts alone don’t change people’s minds. Perhaps nowhere is this more clear than when it comes to conspiracy theories: Many people believe that you can’t talk conspiracists out of their beliefs. But that’s not necessarily true. It turns out that many conspiracy believers do respond to evidence and arguments—information that…
It’s become a truism that facts alone don’t change people’s minds. Perhaps nowhere is this more clear than when it comes to conspiracy theories: Many people believe that you can’t talk conspiracists out of their beliefs. But that’s not necessarily true. It turns out that many conspiracy believers do respond to evidence and arguments—information that… Read More
An In-Depth Analysis of Cyber Attacks in Secured Platformscs.AI updates on arXiv.org arXiv:2510.25470v1 Announce Type: cross
Abstract: There is an increase in global malware threats. To address this, an encryption-type ransomware has been introduced on the Android operating system. The challenges associated with malicious threats in phone use have become a pressing issue in mobile communication, disrupting user experiences and posing significant privacy threats. This study surveys commonly used machine learning techniques for detecting malicious threats in phones and examines their performance. The majority of past research focuses on customer feedback and reviews, with concerns that people might create false reviews to promote or devalue products and services for personal gain. Hence, the development of techniques for detecting malicious threats using machine learning has been a key focus. This paper presents a comprehensive comparative study of current research on the issue of malicious threats and methods for tackling these challenges. Nevertheless, a huge amount of information is required by these methods, presenting a challenge for developing robust, specialized automated anti-malware systems. This research describes the Android Applications dataset, and the accuracy of the techniques is measured using the accuracy levels of the metrics employed in this study.
arXiv:2510.25470v1 Announce Type: cross
Abstract: There is an increase in global malware threats. To address this, an encryption-type ransomware has been introduced on the Android operating system. The challenges associated with malicious threats in phone use have become a pressing issue in mobile communication, disrupting user experiences and posing significant privacy threats. This study surveys commonly used machine learning techniques for detecting malicious threats in phones and examines their performance. The majority of past research focuses on customer feedback and reviews, with concerns that people might create false reviews to promote or devalue products and services for personal gain. Hence, the development of techniques for detecting malicious threats using machine learning has been a key focus. This paper presents a comprehensive comparative study of current research on the issue of malicious threats and methods for tackling these challenges. Nevertheless, a huge amount of information is required by these methods, presenting a challenge for developing robust, specialized automated anti-malware systems. This research describes the Android Applications dataset, and the accuracy of the techniques is measured using the accuracy levels of the metrics employed in this study. Read More
IBM AI Team Releases Granite 4.0 Nano Series: Compact and Open-Source Small Models Built for AI at the EdgeMarkTechPost Small models are often blocked by poor instruction tuning, weak tool use formats, and missing governance. IBM AI team released Granite 4.0 Nano, a small model family that targets local and edge inference with enterprise controls and open licensing. The family includes 8 models in two sizes, 350M and about 1B, with both hybrid SSM
The post IBM AI Team Releases Granite 4.0 Nano Series: Compact and Open-Source Small Models Built for AI at the Edge appeared first on MarkTechPost.
Small models are often blocked by poor instruction tuning, weak tool use formats, and missing governance. IBM AI team released Granite 4.0 Nano, a small model family that targets local and edge inference with enterprise controls and open licensing. The family includes 8 models in two sizes, 350M and about 1B, with both hybrid SSM
The post IBM AI Team Releases Granite 4.0 Nano Series: Compact and Open-Source Small Models Built for AI at the Edge appeared first on MarkTechPost. Read More
