Tootfinder

The Reddit user is discussing the XZ Utils backdoor case, where Jai Tan's email was untraceable even in breached databases, and all his communication was through a foreign VPN. The user is asking if anyone has investigated the profiles of other maintainers/contributors for potential backdoors. https://reddit.com/r/cybersecurity/comments/1bvtvz0/

Y’a rien comme de se moquer de soi-même. Comme j’en suis au début de la soixante-dizaine, je suis réaliste. Ma mémoire va de plus en plus me jouer des tours. Je n’en suis pas encore Š m’inquiéter, mais ne dit-on pas qu’il vaut mieux prévenir.
https://write.as/mimoqc/ou-jai-mis-ca-donc…

Où donc j'ai mis ça ?
Y’a rien comme de se moquer de soi-même. Comme j’en suis au début de la soixante-dizaine, je suis réaliste. Ma mémoire va de plus en plus...

🔊 #NowPlaying on BBCRadio1's #Radio1Relax
Jai Paul:
🎵 BTSTU
#BBCR1 #JaiPaul
https://open.spotify.com/track/0MZz25sxDA1W8HA84duaHS
https://diegoahinojosa.bandcamp.com/track/jai-paul-btstu-remake

🔊 #NowPlaying on BBCRadio2's #TheZoeBallBreakfastShow
A. R. Rahman:
🎵 Jai Ho! (You Are My Destiny) (feat. Nicole Scherzinger)
#ARRahman
https://tfrankdj.bandcamp.com/track/a-r-rahman-the-pussycat-dolls-jai-ho-you-are-my-destiny-tfrank-dj

Long Short-Term Memory Pattern Recognition in Currency Trading
Jai Pal
https://arxiv.org/abs/2403.18839 https://arxiv.org/pdf/2403.18…

Long Short-Term Memory Pattern Recognition in Currency Trading
This study delves into the analysis of financial markets through the lens of Wyckoff Phases, a framework devised by Richard D. Wyckoff in the early 20th century. Focusing on the accumulation pattern within the Wyckoff framework, the research explores the phases of trading range and secondary test, elucidating their significance in understanding market dynamics and identifying potential trading opportunities. By dissecting the intricacies of these phases, the study sheds light on the creation of…

🔊 #NowPlaying on #BBC6Music's #AmyLamé
Jai Paul:
🎵 BTSTU
#JaiPaul
https://open.spotify.com/track/0MZz25sxDA1W8HA84duaHS
https://diegoahinojosa.bandcamp.com/track/jai-paul-btstu-remake

"Amid a steadily growing push to build AI at larger and larger scale, #Access2Compute—along with data and skilled labor—is a key component in building #AI systems. It is profoundly monopolized at key points in the supply chain…
[it]acts as a shaping force in how computational power is manufactur…

Computational Power and AI
By Jai Vipra & Sarah Myers WestSeptember 27, 2023 In this article What is compute and why does it matter? How is the demand for compute shaping AI development? What kind of hardware is involved? What are the components of compute hardware? What does the supply chain for AI hardware look like? What does the […]

LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming
Siyuan Shen, Langwen Huang, Marcin Chrapek, Timo Schneider, Jai Dayal, Manisha Gajbe, Robert Wisniewski, Torsten Hoefler
https://arxiv.org/abs/2404.14193

LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming
The shift towards high-bandwidth networks driven by AI workloads in data centers and HPC clusters has unintentionally aggravated network latency, adversely affecting the performance of communication-intensive HPC applications. As large-scale MPI applications often exhibit significant differences in their network latency tolerance, it is crucial to accurately determine the extent of network latency an application can withstand without significant performance degradation. Current approaches to as…

Tidal effects based on GUP-induced effective metric
Soon-Tae Hong, Yong-Wan Kim, Young-Jai Park
https://arxiv.org/abs/2403.13608 https://

Tidal effects based on GUP-induced effective metric
In this paper, we study tidal forces in the Schwarzschild black hole whose metric includes explicitly a generalized uncertainty principle (GUP) effect. We also investigate interesting features of the geodesic equations and tidal effects dependent on the GUP parameter $α$ related to a minimum length. Then, by solving geodesic deviation equations explicitly with appropriate boundary conditions, we show that $α$ in the effective metric affects both the radial and angular components of the geodes…

Designing an Intelligent Parcel Management System using IoT & Machine Learning
Mohit Gupta, Nitesh Garg, Jai Garg, Vansh Gupta, Devraj Gautam
https://arxiv.org/abs/2404.11661 …

Designing an Intelligent Parcel Management System using IoT & Machine Learning
Parcels delivery is a critical activity in railways. More importantly, each parcel must be thoroughly checked and sorted according to its destination address. We require an efficient and robust IoT system capable of doing all of these tasks with great precision and minimal human interaction. This paper discusses, We created a fully-fledged solution using IoT and machine learning to assist trains in performing this operation efficiently. In this study, we covered the product, which consists most…

Unsupervised learning in particle physics
Jai Bardhan, Tanumoy Mandal, Subhadip Mitra, Cyrin Neeraj, Monalisa Patra
https://arxiv.org/abs/2403.13676 https:…

Unsupervised learning in particle physics
We review the main applications of unsupervised learning methods in particle physics, i.e., clustering, anomaly detection, detector simulation, and unfolding. Unsupervised methods are ideal for anomaly detection tasks -- machine learning models can be trained on background data to identify deviations if we model the background data precisely. The learning can also be partially unsupervised when we can provide some information about the anomalies at the data level. Generative models are useful i…

Detection of Spider Mites on Labrador Beans through Machine Learning Approaches Using Custom Datasets
Violet Liu, Jason Chen, Ans Qureshi, Mahla Nejati
https://arxiv.org/abs/2402.07895

Detection of Spider Mites on Labrador Beans through Machine Learning Approaches Using Custom Datasets
Amidst growing food production demands, early plant disease detection is essential to safeguard crops; this study proposes a visual machine learning approach for plant disease detection, harnessing RGB and NIR data collected in real-world conditions through a JAI FS-1600D-10GE camera to build an RGBN dataset. A two-stage early plant disease detection model with YOLOv8 and a sequential CNN was used to train on a dataset with partial labels, which showed a 3.6% increase in mAP compared to a singl…

Optimal Control of Stationary Doubly Diffusive Flows on Two and Three Dimensional Bounded Lipschitz Domains: Numerical Analysis
Jai Tushar, Arbaz Khan, Manil T. Mohan
https://arxiv.org/abs/2403.10282

Optimal Control of Stationary Doubly Diffusive Flows on Two and Three Dimensional Bounded Lipschitz Domains: Numerical Analysis
In this work, we propose fully nonconforming, locally exactly divergence-free discretizations based on lowest order Crouziex-Raviart finite element and piecewise constant spaces to study the optimal control of stationary double diffusion model presented in [Bürger, Méndez, Ruiz-Baier, SINUM (2019), 57:1318-1343]. The well-posedness of the discrete uncontrolled state and adjoint equations are discussed using discrete lifting and fixed point arguments, and convergence results are derived rigoro…

🔊 #NowPlaying on #BBC6Music's #TheMorningAfterMix
Jai'Len Josey:
🎵 Can You Do It for Me?
#JaiLenJosey
https://open.spotify.com/track/70QhXL1osJ7lRfIqZ1Doux

Designing an Intelligent Parcel Management System using IoT & Machine Learning
Mohit Gupta, Nitesh Garg, Jai Garg, Vansh Gupta, Devraj Gautam
https://arxiv.org/abs/2404.11661 …

Designing an Intelligent Parcel Management System using IoT & Machine Learning
Parcels delivery is a critical activity in railways. More importantly, each parcel must be thoroughly checked and sorted according to its destination address. We require an efficient and robust IoT system capable of doing all of these tasks with great precision and minimal human interaction. This paper discusses, We created a fully-fledged solution using IoT and machine learning to assist trains in performing this operation efficiently. In this study, we covered the product, which consists most…

Emergence and dynamics of delusions and hallucinations across stages in early psychosis
Catalina Mourgues-Codern, David Benrimoh, Jay Gandhi, Emily A. Farina, Raina Vin, Tihare Zamorano, Deven Parekh, Ashok Malla, Ridha Joober, Martin Lepage, Srividya N. Iyer, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Barbara Cornblatt, Matcheri Keshavan, William S. Stone, Daniel H. Mathalon, Diana O. Perkins, Elaine F. Walker, Tyrone D. Cannon, Scott W. Woods, Jai L. Shah, Albert R. Pow…

Emergence and dynamics of delusions and hallucinations across stages in early psychosis
Hallucinations and delusions are often grouped together within the positive symptoms of psychosis. However, recent evidence suggests they may be driven by distinct computational and neural mechanisms. Examining the time course of their emergence may provide insights into the relationship between these underlying mechanisms. Participants from the second (N = 719) and third (N = 699) iterations of the North American Prodrome Longitudinal Study (NAPLS 2 and 3) were assessed for timing of CHR-P-lev…

🔊 #NowPlaying on BBCRadio1's #MattAndMollie
Tiësto:
🎵 10:35 (feat. Tate McRae)
#BBCR1 #Tiësto
https://open.spotify.com/track/6BePGk3eCan4FqaW2X8Qy3
https://djprashant.bandcamp.com/track/jalsa-x-1035-dj-prashant-mashup-tiesto-tate-mcrae-sartaj-new-music-jai-ho-bollywood-party

🔊 #NowPlaying on BBCRadio1's #DeanAndVicky
Tiësto:
🎵 10:35 (feat. Tate McRae)
#BBCR1 #Tiësto
https://open.spotify.com/track/36gcliMRX1vCpgnrZE3dFZ
https://djprashant.bandcamp.com/track/jalsa-x-1035-dj-prashant-mashup-tiesto-tate-mcrae-sartaj-new-music-jai-ho-bollywood-party

🔊 #NowPlaying on BBCRadio1's #Radio1sResidency
Jai Paul & MGMT:
🎵 Jasmine's Electric Feel
#BBCR1 #JaiPaul #MGMT
https://open.spotify.com/track/3FtYbEfBqAlGO46NUDQSAt