Tootfinder

49ers CB Lenoir arrested on obstruction charge https://www.espn.com/nfl/story/_/id/45597350/49ers-deommodore-lenoir-arrested-la-obstruction-charge

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
Antony Dalmiere (LAAS), Zheng Zhou (LAAS), Guillaume Auriol (LAAS-TRUST, INSA Toulouse), Vincent Nicomette (LAAS-TSF, LAAS-TRUST), Pascal Marchand (LERASS, IUT Paul Sabatier)
https://arxiv.org/abs/2506.20228…

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
Phishing attacks frequently use email body obfuscation to bypass detection filters, but quantitative insights into how techniques are combined and their impact on filter scores remain limited. This paper addresses this gap by empirically investigating the prevalence, co-occurrence patterns, and spam score associations of body obfuscation techniques. Analysing 386 verified phishing emails, we quantified ten techniques, identified significant pairwise co-occurrences revealing strategic layering l…

📢 Geheimdienst-Gremium ohne Reichinnek und AfD-Abgeordnete
Im Geheimdienst-Ausschuss des Bundestags ist mit dem Grünen-Politiker Konstantin von Notz künftig nur noch ein einziger Oppositionsabgeordneter vertreten. Bei der Wahl der Mitglieder des Parlamentarischen Kontrollgremiums verfehlten sowohl die Linken-Fraktionsvorsitzende Reichinnek als auch die beiden AfD-Kandidaten Hess und Otten die notwendige Mehrheit.
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Geheimdienst-Gremium ohne Reichinnek und AfD-Abgeordnete
Im Geheimdienst-Ausschuss des Bundestags ist mit dem Grünen-Politiker Konstantin von Notz künftig nur noch ein einziger Oppositionsabgeordneter vertreten. Bei der Wahl der Mitglieder des Parlamentarischen Kontrollgremiums verfehlten sowohl die Linken-Fraktionsvorsitzende Reichinnek als auch die beiden AfD-Kandidaten Hess und Otten die notwendige Mehrheit.

“On the other side of the screen, it all looks so easy.”
▶️ San Diego ComicCon: "Tron: Ares" panel with Jeff Bridges, Jared Leto, Greta Lee, Jodie Turner Smith, Evan Peter's, Gillian Anderson, Hasan Minaj, Arturo Castro
https://youtube.com/watch?v=h_oBojhtN8

A New Rail Line May Come to New York. Will a Housing Boom Follow?
The Interborough Express, a rail line connecting Brooklyn and Queens, could spur the building of tens of thousands of homes. Obstacles await.
#ibx

49ers CB Deommodore Lenoir arrested after officers allege obstruction of justice in traffic stop

https://www.cbssports.com/nfl/news/49ers-c

Real-Time Obstacle Avoidance Algorithms for Unmanned Aerial and Ground Vehicles
Jingwen Wei
https://arxiv.org/abs/2506.20311 https://…

Real-Time Obstacle Avoidance Algorithms for Unmanned Aerial and Ground Vehicles
The growing use of mobile robots in sectors such as automotive, agriculture, and rescue operations reflects progress in robotics and autonomy. In unmanned aerial vehicles (UAVs), most research emphasizes visual SLAM, sensor fusion, and path planning. However, applying UAVs to search and rescue missions in disaster zones remains underexplored, especially for autonomous navigation. This report develops methods for real-time and secure UAV maneuvering in complex 3D environments, crucial during f…

Public media faces its most urgent threat yet.
Despite overwhelming public opposition,
the House has passed a rescissions package that would eliminate $1.1 billion in already-approved funding for public media.
If enacted, it would strip essential services from communities and could force rural stations off the air.
The Senate will take up the bill next.
⭐️Contact your Senators now and urge them to vote NO

Enhanced Robotic Navigation in Deformable Environments using Learning from Demonstration and Dynamic Modulation
Lingyun Chen, Xinrui Zhao, Marcos P. S. Campanha, Alexander Wegener, Abdeldjallil Naceri, Abdalla Swikir, Sami Haddadin
https://arxiv.org/abs/2506.20376

Enhanced Robotic Navigation in Deformable Environments using Learning from Demonstration and Dynamic Modulation
This paper presents a novel approach for robot navigation in environments containing deformable obstacles. By integrating Learning from Demonstration (LfD) with Dynamical Systems (DS), we enable adaptive and efficient navigation in complex environments where obstacles consist of both soft and hard regions. We introduce a dynamic modulation matrix within the DS framework, allowing the system to distinguish between traversable soft regions and impassable hard areas in real-time, ensuring safe and…