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Japan to revise economic security law to support projects abroad

The Japan Times

The government plans to submit a bill to revise the economic security promotion law during the current session of parliament that began on Wednesday. The Japanese government plans to revise the economic security promotion law to support companies with economic security-linked projects overseas. This will be the first revision of the law, established in 2022. The move comes amid a rapidly changing international environment, as the Ukraine-Russia war drags on and China continues to flex its economic muscle. Competition is also intensifying in the development of artificial intelligence and other cutting-edge technologies.


City-run board cancels lease of Israel drone supplier sparking backlash toward Mamdani: 'Ludicrous'

FOX News

New York City Mayor Zohran Mamdani faces criticism after Brooklyn Navy Yard drops lease with Easy Aerial, a drone manufacturer that supplies Israel's military.


Tech firms will have 48 hours to remove abusive images under new law

BBC News

Tech platforms would have to remove intimate images which have been shared without consent within 48 hours, under a proposed UK law. The government said tackling intimate image abuse should be treated with the same severity as child sexual abuse material (CSAM) and terrorist content. Failure to abide by the rules could result in companies being fined up to 10% of their global sales or have their services blocked in the UK. Janaya Walker, interim director of the End Violence Against Women Coalition, said the welcome and powerful move... rightly places the responsibility on tech companies to act. The proposals are being made through an amendment to the Crime and Policing Bill, which is making its way through the House of Lords.



DA T ASHEET: MOTIVE

Neural Information Processing Systems

Please see the most updated version here . Was there a specific task in mind? Was there a specific gap that needed to be filled? The MOTI VE dataset was created to promote the development of new drug-target interaction (DTI) prediction models based on both, existing relationships between compounds and their protein targets, and the similarity of JUMP Cell Painting morphological features of perturbed cells [2].The MOTI VE dataset was created with the DTI task in mind, and addresses a lack of graph-based biological datasets with empirical node features. Who created this dataset (e.g., which team, research group) and on behalf of which entity (e.g., company, institution, organization)? This dataset was created by the Carpenter-Singh Lab in the Imaging Platform at the Broad Institute of MIT and Harvard, Cambridge, Massachusetts. What support was needed to make this dataset? If there is an associated grant, provide the name of the grantor and the grant name and number, or if it was supported by a company or government agency, give those details.) The authors gratefully acknowledge an internship from the Massachusetts Life Sciences Center (to ES).