(Image credit: Dell) There was once a time when live-stream gamers on platforms like Twitch usually had two different set-ups […]
Tech worker movements grow as threats of RTO, AI loom
Advocates say tech workers movements got too big to ignore in 2024. Credit: Aurich Lawson | Getty Images It feels […]
Intel in 2024: year in review
(Image credit: Future / John Loeffler) Anyone who follows the big tech companies will know that Intel has been in […]
Camel-AI Open Sourced OASIS: A Next Generation Simulator for Realistic Social Media Dynamics with One Million Agents
Social media platforms have revolutionized human interaction, creating dynamic environments where millions of users exchange information, form communities, and influence […]
Collective Monte Carlo Tree Search (CoMCTS): A New Learning-to-Reason Method for Multimodal Large Language Models
In today’s world, Multimodal large language models (MLLMs) are advanced systems that process and understand multiple input forms, such as […]
15,000+ Four-Faith Routers Exposed to New Exploit Due to Default Credentials
Dec 28, 2024Ravie LakshmananVulnerability / Threat Intelligence A high-severity flaw impacting select Four-Faith routers has come under active exploitation in […]
After a 24-second test of its engines, the New Glenn rocket is ready to fly
After a long day of stops and starts that stretched well into the evening, and on what appeared to be […]
YuLan-Mini: A 2.42B Parameter Open Data-efficient Language Model with Long-Context Capabilities and Advanced Training Techniques
Large language models (LLMs) built using transformer architectures heavily depend on pre-training with large-scale data to predict sequential tokens. This […]
Quasar-1: A Rigorous Mathematical Framework for Temperature-Guided Reasoning in Language Models
Large language models (LLMs) encounter significant difficulties in performing efficient and logically consistent reasoning. Existing methods, such as CoT prompting, […]
Unveiling Privacy Risks in Machine Unlearning: Reconstruction Attacks on Deleted Data
Machine unlearning is driven by the need for data autonomy, allowing individuals to request the removal of their data’s influence […]