Launching next week on T-Mobile's network, the cell plan takes a nuclear approach to online safety. A new US-wide cell phone network marketed to Christians is set to launch next week. It blocks porn, which experts in network security say marks the first time a US cell plan has used network-level blocking for such content that can't be turned off even by adult account owners. It's also rolling out a filter on sexual content aimed at blocking material related to gender and trans issues, which will be optional but turned on by default across all plans. The network, which is currently being tested ahead of its May 5 launch date, will be run by Radiant Mobile, a newly launched mobile virtual network operator (MVNO). These operators don't own cell towers but buy bandwidth from the big providers (in this case, T-Mobile) and sell to specific demographics (President Trump announced his own MVNO last year called Trump Mobile; CREDOMobile sends donations to progressive causes).

Say hello (Moto) to price hikes on all three of Motorola's latest Razr flip phones. Like clockwork, Motorola is back with a new set of Razr folding flip phones . The formula is the same as last year, with three phones differing in specs and price: the Razr Ultra, Razr+, and Razr. But alongside these models, Motorola is finally launching its first-ever book-style folding phone, the Razr Fold, which it first teased at CES 2026 . The company announced the new handsets at an event in Los Angeles, where it also revealed a new pair of Moto Buds 2 Plus wireless earbuds that look eerily like Apple's AirPods Pro, but in blue; these will retail for $150 and will be available on April 30.

We study downlink beam and rate adaptation in a multi-user mmWave MISO system where multiple base stations (BSs), each using analog beamforming from finite codebooks, serve multiple single-antenna user equipments (UEs) with a unique beam per UE and discrete data transmission rates. BSs learn about transmission success based on ACK/NACK feedback. To encode service goals, we introduce a satisficing throughput threshold $τ_r$ and cast joint beam and rate adaptation as a combinatorial semi-bandit over beam-rate tuples. Within this framework, we propose SAT-CTS, a lightweight, threshold-aware policy that blends conservative confidence estimates with posterior sampling, steering learning toward meeting $τ_r$ rather than merely maximizing. Our main theoretical contribution provides the first finite-time regret bounds for combinatorial semi-bandits with satisficing objective: when $τ_r$ is realizable, we upper bound the cumulative satisficing regret to the target with a time-independent constant, and when $τ_r$ is non-realizable, we show that SAT-CTS incurs only a finite expected transient outside committed CTS rounds, after which its regret is governed by the sum of the regret contributions of restarted CTS rounds, yielding an $O((\log T)^2)$ standard regret bound. On the practical side, we evaluate the performance via cumulative satisficing regret to $τ_r$ alongside standard regret and fairness. Experiments with time-varying sparse multipath channels show that SAT-CTS consistently reduces satisficing regret and maintains competitive standard regret, while achieving favorable average throughput and fairness across users, indicating that feedback-efficient learning can equitably allocate beams and rates to meet QoS targets without channel state knowledge.

Microsoft's Copilot AI goes head-to-head with China's DeepSeek in Africa Microsoft is investing 5.4 billion South African rand ($330 million) to expand its cloud and AI capacity in the country by the end of next year, and it also has plans to build a geothermal-powered data center in Kenya. Microsoft is making a push for more Africans to adopt its artificial-intelligence tools as the U.S. technology giant competes with China's DeepSeek for customers from the world's youngest and fastest-growing population. The Redmond, Washington-based company plans to train 3 million Africans on its AI technology this year, in partnership with schools, universities and other institutions, with a focus on South Africa, Kenya, Nigeria and Morocco. It's also partnered with MTN Group, Africa's biggest telecommunications firm, to sell the Microsoft 365 suit of apps together with its Copilot digital assistant to its 300 million subscribers. The Microsoft Elevate training initiative aims to make sure cost is not a barrier to building AI literacy at scale," Middle East and Africa President Naim Yazbeck said in an interview. Chinese technology is active in Africa and our job is to compete."

Such causal graphs delineate the relations among alarms and can significantly aid engineers in identifying and rectifying faults. However, existing methods either ignore the topological relationships among devices or suffer from relatively low scalability and efficiency, failing to deliver high-quality responses in a timely manner.

We integrate this model in a planning loop, where conditioning and classifier guidance let us softly break the symmetry for specific tasks as needed.

In this paper, we set out to answer the question on which is better: neural network quantization or pruning? By answering this question, we hope to inform design decisions made on neural network hardware going forward. We provide an extensive comparison between the two techniques for compressing deep neural networks.

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