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@aral@mastodon.ar.al
2026-07-15 21:03:46

RE: mastodon.social/@Mohammed_8/11
If anyone wants to help Mohammed, please get in touch with me or @…

In perhaps the largest single assemblage of America’s tech leaders since they prominently graced the stage at Trump’s inauguration,
Silicon Valley’s powerful decamped to the Saudi capital of Riyadh in May 2025 to join Trump and a coterie of top advisers to solicit investment from the oil-rich kingdom.
Trump didn’t mince words at an afternoon meeting with the Saudi crown prince.
“As you know, we have the biggest business leaders in the world here,”
he said.
“They…

Saudi Arabia's millennial crown prince got a rare tour inside Apple's new $5 billion campus
Saudi Crown Prince Mohammed bin Salman has been visiting with Silicon Valley leaders and top tech executives during his US tour.
He met with Apple CEO Tim Cook, Google CEO Sundar Pichai, the Google founders Larry Page and Sergey Brin, Amazon CEO Jeff Bezos, the venture capitalists Marc Andreessen and Peter Thiel, and other key players in the technology industry.
He even got…

@grumpybozo@toad.social
2026-05-06 21:05:42

It’s weird that so many people were appalled by Trump’s post of him as Dr. Jesus reviving John McAfee, but I barely heard a peep about the one he posted with him as Jesus on the cross with a crown of thorns.
Tolerance is so fast. I bet he could get away with picturing himself as Mohammed, and I really hope he tries it.

@ErikJonker@mastodon.social
2026-07-01 15:38:59

More details about how Trump lost the war with Iran are emerging and also how he couldn't convince Saudi Arabia to let the US use it's airspace.
nytimes.com/2026/07/01/us/poli

@arXiv_csIT_bot@mastoxiv.page
2026-06-11 07:43:02

Maximizing Connectivity of Uplink RIS-Assisted UAV Networks
Mohammed Saif, Shahrokh Valaee
arxiv.org/abs/2606.11523 arxiv.org/pdf/2606.11523 arxiv.org/html/2606.11523
arXiv:2606.11523v1 Announce Type: new
Abstract: In this paper, we present a new approach for unmanned aerial vehicle (UAV) positioning and reconfigurable intelligent surface (RIS) partitioning to enhance connectivity of uplink RIS-assisted UAV networks. To achieve this, our approach optimizes RIS-aided link selection, RIS partitioning, and UAV positions to maximize network connectivity characterized by its Fiedler value. Meanwhile, it maintains a specific signal-to-interference plus noise ratio (SINR) constraint for user equipment (UE), which is influenced by RIS partitioning and UAV reliability. The network connectivity optimization problem is formulated using the Fiedler value subject to RIS elements allocation and SINR constraints. This problem is a computationally expensive combinatorial optimization, necessitating an efficient iterative approach. In particular, we propose a perturbation method for RIS-aided link selection, and derive a closed-form solution for RIS partitioning, with each partition tailored to optimize SINR for individual UAV. For the given RIS-aided links and RIS partitioning, we then show that the problem of UAV positioning can be formulated as a low complexity semi-definite programming (SDP) optimization problem, which can be solved using off-the-shelf CVX solvers. Our simulations show the potential gain of UAV positioning and RIS partitioning compared to the benchmark schemes from the literature.
toXiv_bot_toot

@memeorandum@universeodon.com
2026-05-29 20:50:49

The Plot to Eliminate Gaza (Mohammed R. Mhawish/New York Magazine)
nymag.com/intelligencer/articl
memeorandum.com/260529/p91#a26

@arXiv_csIT_bot@mastoxiv.page
2026-06-11 07:43:02

Maximizing Connectivity of Uplink RIS-Assisted UAV Networks
Mohammed Saif, Shahrokh Valaee
arxiv.org/abs/2606.11523 arxiv.org/pdf/2606.1152…

@arXiv_mathAT_bot@mastoxiv.page
2026-06-03 08:53:02

Crosslisted article(s) found for math.AT. arxiv.org/list/math.AT/new
[1/1]:
- Learning Coherent Representations: A Topological Approach to Interpretability
Sigurd Gaukstad, Melvin Vaupel, Valdemar Karg{\aa}rd Olsen, Erik Hermansen, Benjamin Dunn
arxiv.org/abs/2606.02841 mastoxiv.page/@arXiv_csLG_bot/
- A Complete Classification of 2-Linear Neighborhood Complexes
Mohammed Rafiq Namiq
arxiv.org/abs/2606.03573 mastoxiv.page/@arXiv_mathCO_bo
- Modular inequalities and Alexander polynomials of pencil type conic-line arrangements
Anca Macinic
arxiv.org/abs/2606.03706 mastoxiv.page/@arXiv_mathAG_bo
toXiv_bot_toot

@BBC3MusicBot@mastodonapp.uk
2026-07-17 22:33:12

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Robert Mitchell, Laurie Lowe & Zayn Mohammed:
🎵 The Symbiote
#RobertMitchell #LaurieLowe #ZaynMohammed

@arXiv_csIT_bot@mastoxiv.page
2026-06-11 07:41:37

Joint Movable Antenna Positioning and RIS Partitioning for Sum-Rate Maximization
Mohammed Saif
arxiv.org/abs/2606.11519 arxiv.org/pdf/2606.11519 arxiv.org/html/2606.11519
arXiv:2606.11519v1 Announce Type: new
Abstract: This paper investigates the utility of the movable antenna (MA) and reconfigurable intelligent surface (RIS) framework for downlink wireless communications. In the considered scenario, a base station (BS) is equipped with two sub-arrays of MAs transmits signals to the users via the RIS. By jointly exploiting the antenna-positioning flexibility of MAs and the RIS element selection capability, the proposed joint MA-RIS framework introduces additional design degrees of freedom to enhance desired signals and mitigate inter-user interference, thereby maximizing the network sum-rate. To this end, we formulate a joint optimization problem involving MA positioning, sub-array beamforming, and RIS element selection, subject to the minimum antenna separation and transmit power constraints. The resulting problem is highly non-convex and challenging to solve directly. To address this issue, an alternating optimization framework is developed that decomposes the problem into three tractable subproblems. Specifically, zero-forcing beamforming is employed for transmit beamformer design, a low-complexity one-dimensional search is derived for RIS element selection, and the MA positioning problem is solved using block coordinate descent (BCD) and convex optimization techniques implemented via CVX. Simulation results demonstrate that the proposed joint MA-RIS framework significantly improves the achievable sum-rate compared with conventional fixed MAs and benchmark schemes with random configurations.
toXiv_bot_toot

@arXiv_csIT_bot@mastoxiv.page
2026-06-11 07:41:37

Joint Movable Antenna Positioning and RIS Partitioning for Sum-Rate Maximization
Mohammed Saif
arxiv.org/abs/2606.11519 arxiv.org/pdf/2606.…

@kexpmusicbot@mastodonapp.uk
2026-04-30 17:30:53

🇺🇦 #NowPlaying on #KEXP's #MiddayShow
The Dandy Warhols:
🎵 Mohammed
#TheDandyWarhols
open.spotify.com/track/6kRjeXa