designation
ChatGPT, Reddit and Roblox to face the EU's strictest platform rules
The European Union is tightening its grip on ChatGPT, Reddit and Roblox. The European Commission (EC) designated ChatGPT as a "Very Large Online Search Engine," and Reddit and Roblox as "Very Large Online Platforms." These three platforms each crossed the threshold of at least 45 million average monthly users in the European Union, triggering the designations that carry "the most stringent rules" under the Digital Services Act (DSA). "These new designations mean that ChatGPT, Reddit and Roblox will now be held to a higher standard of scrutiny and accountability in the European Union, in line with their large impact on our citizens and society," Henna Virkkunen, the EC's executive vice-president for tech sovereignty, security and democracy, said in a press release. The "very large" designation means stricter enforcement with ChatGPT, Reddit and Roblox's services and algorithmic systems, particularly when it comes to how they can spread illegal content, cause negative effects for minors and impact electoral processes.
Trump administration acted illegally in fight against Anthropic, judge rules
Say More Look Up Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Mashable Voices Trending Now Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series The government was making a'public example' of Anthropic, according to the ruling. Chase joined Mashable's Social Good team in 2020, covering online stories about digital activism, climate justice, accessibility, and media representation. A federal judge weighs in on feud between government leaders and Anthropic. The Trump administration's dramatic decision to mark Anthropic's AI models as a supply chain risk earlier this year was illegal, a federal judge has ruled. The empty invocation of national security is not a blank check to punish and retaliate against government critics, wrote Judge Rita Lin in a 59-page ruling .
Judge rules that the Pentagon's Anthropic ban was 'illegal and baseless'
A US federal court has ruled that the Pentagon's designation of Anthropic as a supply chain risk was illegal, CNBC reported. US District judge Rita Lin found that the US Department of Defense's restrictions placed on the AI company and its Claude model were "illegal and baseless." As part of the ruling, the judge barred certain federal agencies from enforcing President Trump's order to stop using Anthropic's tools. "The empty invocation of national security is not a blank check to punish and retaliate against government critics," Judge Lin said in a 59-page decision. "Neither the Constitution nor the federal statute invoked by Defendants allows them to impose sweeping penalties based principally on Anthropic's critique of the Administration's views."
Pentagon's blacklisting of Anthropic was unlawful, US judge rules
In her Anthropic ruling, Judge Rita Lin said the'empty invocation of national security is not a blank check to punish and retaliate against government critics'. In her Anthropic ruling, Judge Rita Lin said the'empty invocation of national security is not a blank check to punish and retaliate against government critics'. Pentagon's blacklisting of Anthropic was unlawful, US judge rules Anthropic argued designation as'supply chain risk' could cost the company billions of dollars in lost business and reputational harm A US federal judge ruled Thursday that sanctions imposed in February by the Trump administration against AI giant Anthropic were illegal, finding that the government had punished the artificial intelligence company for publicly criticising the Pentagon. "The empty invocation of national security is not a blank check to punish and retaliate against government critics," Judge Rita Lin said in a 59-page decision. She barred the federal agencies named in the lawsuit from enforcing President Donald Trump's order to stop using the tools of Anthropic - creator of the Claude AI models - and overturned defense secretary Pete Hegseth's designation of the company as a "supply chain risk", a status previously reserved for foreign firms.
A Judge Has Blocked the Pentagon's Attempt to Blacklist Anthropic
A Judge Has Blocked the Pentagon's Attempt to Blacklist Anthropic A federal judge has called the Department of Defense's designation of Anthropic as a national security supply-chain risk "illegal and baseless." A federal judge on Thursday barred the Trump administration from designating Anthropic a national security risk over a dispute about the use of its AI models, ruling that the designation amounted to unconstitutional retaliation. The decision handed down by US district judge Rita Lin in California vacated the February 27 decision by defense secretary Pete Hegseth to label Anthropic a "supply-chain risk" and make the company ineligible for federal contracts. The ruling also lifted an additional punitive measure by Hegseth that prevented contractors or suppliers to the US military from doing business with Anthropic, a position Lin called "arbitrary, capricious, an abuse of discretion, and otherwise not in accordance with law." "Though the Department of War is undisputedly free to select the AI vendor of its choice, the evidence demonstrates that the broad measures imposed on Anthropic were illegal and baseless," Lin wrote in a 59-page ruling . The judge also ruled that nine agencies--including the Pentagon, the Treasury Department, the State Department, the Department of Homeland Security--had improperly imposed sanctions on Anthropic.
Trump Moves to Revoke Syria's Designation as State Sponsor of Terrorism
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Anthropic suspends new AI tools over US government security concerns
Anthropic has suspended its powerful new AI model after US authorities raised security concerns just days following its public release. In a statement published on its website, Anthropic said it was ordered to suspend foreign nationals from using Claude Fable 5, a program that the company self-described as too powerful. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance, the company wrote. Anthropic and the Trump administration are involved in a separate ongoing lawsuit over an order to stop government agencies using the company's AI tools. The BBC has approached the US Department of Commerce for comment.
Microsoft backs AI firm Anthropic in legal battle against Pentagon
Microsoft has thrown its weight behind Anthropic's legal challenge against the US Department of Defense. Microsoft has thrown its weight behind Anthropic's legal challenge against the US Department of Defense. Tech company files amicus brief in support of Anthropic's effort to overturn an aggressive Pentagon designation Microsoft has thrown its weight behind Anthropic's legal challenge against the Pentagon, filing a court brief in support of the AI company's effort to overturn an aggressive designation that effectively bars it from government work. In an amicus brief submitted to a federal court in San Francisco this week, Microsoft, which integrates Anthropic's AI tools into systems it provides to the US military, argued that a temporary restraining order was necessary to prevent serious disruption to suppliers whose products rely on the AI company's technology. Google, Amazon, Apple and OpenAI have also signed on to a brief in support of Anthropic. In a statement to the Guardian, Microsoft said: "The Department of War needs reliable access to the country's best technology.
Why outrage is erupting over Trump plan to exclude nursing from 'professional' designation
Things to Do in L.A. Tap to enable a layout that focuses on the article. Your morning catch-up: Mayor Lurie has SF feeling better, California's job market is taking a hit and more big stories Why outrage is erupting over Trump plan to exclude nursing from'professional' designation This is read by an automated voice. Please report any issues or inconsistencies here . Trump administration proposes excluding nursing and other fields from "professional" designation, capping graduate student loans. Nursing leaders warn the policy will worsen California's severe nurse shortage by discouraging graduate degrees required for teaching and specialized patient care.
S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
Zhang, Huaicheng, Wang, Ruoxin, Zhou, Chenlian, Shi, Jiguang, Ge, Yue, Li, Zhoutong, Chang, Sheng, Wang, Hao, He, Jin, Huang, Qijun
As one of the most effective methods for cardiovascular disease (CVD) diagnosis, multi-lead Electrocardiogram (ECG) signals present a characteristic multi-sensor information fusion challenge that has been continuously researched in deep learning domains. Despite the numerous algorithms proposed with different DL architectures, maintaining a balance among performance, computational complexity, and multi-source ECG feature fusion remains challenging. Recently, state space models (SSMs), particularly Mamba, have demonstrated remarkable effectiveness across various fields. Their inherent design for high-efficiency computation and linear complexity makes them particularly suitable for low-dimensional data like ECGs. This work proposes S2M2ECG, an SSM architecture featuring three-level fusion mechanisms: (1) Spatio-temporal bi-directional SSMs with segment tokenization for low-level signal fusion, (2) Intra-lead temporal information fusion with bi-directional scanning to enhance recognition accuracy in both forward and backward directions, (3) Cross-lead feature interaction modules for spatial information fusion. To fully leverage the ECG-specific multi-lead mechanisms inherent in ECG signals, a multi-branch design and lead fusion modules are incorporated, enabling individual analysis of each lead while ensuring seamless integration with others. Experimental results reveal that S2M2ECG achieves superior performance in the rhythmic, morphological, and clinical scenarios. Moreover, its lightweight architecture ensures it has nearly the fewest parameters among existing models, making it highly suitable for efficient inference and convenient deployment. Collectively, S2M2ECG offers a promising alternative that strikes an excellent balance among performance, computational complexity, and ECG-specific characteristics, paving the way for high-performance, lightweight computations in CVD diagnosis.