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@Techmeme@techhub.social
2026-05-03 05:01:47

Palo Alto Networks agrees to acquire Portkey, which develops AI gateway tech to manage and secure AI agents; sources say the deal values Portkey at $120M-$140M (The Economic Times)
economictimes.indiati…

@metacurity@infosec.exchange
2026-04-30 20:27:16

Palo Alto Networks to Acquire Portkey to Secure the Rise of AI Agents
prnewswire.com/news-releases/p

@Dragofix@veganism.social
2026-05-04 21:36:20

'Significant change' needed to tackle agri pollution #environment

@metacurity@infosec.exchange
2026-04-30 20:26:40

Palo Alto Networks to Acquire Portkey to Secure the Rise of AI Agents
prnewswire.com/news-releases/p

@Techmeme@techhub.social
2026-05-04 19:05:46

Former Trump and Biden AI advisers Dean Ball and Ben Buchanan urge bipartisan action on AI security risks, including tighter export controls and safety audits (New York Times)
nytimes.com/2026/05/04/opinion

@marcel@waldvogel.family
2026-06-01 13:43:04

US anti-trust investigation into Microsofts business practices on #Azure and AI:
"The CIDs [i.e., the documents requesting information] say the goal of the FTC probe is to determine if #Microsoft has used unfair methods of competition in its cloud, software products, and related service…

@arXiv_csGT_bot@mastoxiv.page
2026-06-04 07:33:46

Improved Approximation Guarantees for Groupwise Maximin Share Fairness
Georgios Amanatidis, Anna Korfiati, Evangelos Markakis, Christodoulos Santorinaios
arxiv.org/abs/2606.04731 arxiv.org/pdf/2606.04731 arxiv.org/html/2606.04731
arXiv:2606.04731v1 Announce Type: new
Abstract: We study the problem of fairly allocating a set of indivisible goods to a set of $n$ agents with additive valuation functions. We focus on the very demanding notion of \textit{groupwise maximin share fairness} (GMMS), which requires that each agent $i$ receives value comparable to their maximin share, where the latter is computed \textit{with respect to any subset of agents that contains $i$}. We show that it is possible to compute $(\phi-1)$-approximate GMMS allocations in polynomial time, where $\phi \approx 1.618$ is the golden ratio). This improves on the previously known guarantee of $4/7$ of Chaudhury et al. [SICOMP; 2021] and Amanatidis et al. [TCS; 2020]. We propose a simple algorithm that maintains the same main properties as the Draft-and-Eliminate algorithm of Amanatidis et al. [TCS, 2020] and we improve on the approximation guarantee analysis by carefully bounding the relevant value within any subinstance induced by the restriction of our allocation to a subset of agents. Our analysis is asymptotically tight for algorithms that share these properties and has the additional benefit of giving improved guarantees for restricted settings; in particular, when the agents agree on the top $n$ goods or when the number of agents is small. To illustrate the challenges of going beyond the guarantees of our algorithm, we also present a variant with an improved approximation of $(\sqrt{10}-1)/3 \approx 0.72$ for the case of three agents. To achieve this improvement we partially characterize the maximin share guarantees of short picking sequences for a small number of goods.
toXiv_bot_toot

@Techmeme@techhub.social
2026-07-02 05:26:00

Indian IT company Persistent Systems offers to acquire its Germany-based peer Nagarro for $1.45B; Indian IT companies are ramping up M&A as AI reshapes growth (Sayan Chakraborty/Nikkei Asia)
asia.nikkei.com/business/techn

@Techmeme@techhub.social
2026-04-29 20:37:45

Microsoft's Q3 Intelligent Cloud revenue was $34.68B vs. $34.27B est., with Azure and other cloud services surging 40% YoY; Microsoft 365 Copilot has 20M seats (Jordan Novet/CNBC)
cnbc.com/2026/04/29/microsoft-

@Techmeme@techhub.social
2026-07-01 20:55:59

Alibaba and its US payment processor AUS agree to pay $600M to resolve DOJ allegations that they failed to prevent illegal sales of drugs and other products (Reuters)
reuters.com/world/alibaba-aus-