A whistleblower complaint alleges John Solly claimed to have stored highly sensitive Social Security data on a thumb drive. Solly and Leidos, his current employer, strongly deny the allegations. John Solly, a software engineer and former member of the so-called Department of Government Efficiency (DOGE), is the DOGE operative reportedly accused in a whistleblower complaint of telling colleagues that he stored sensitive Social Security Administration (SSA) data on a thumb drive and wanted to share the information with his new employer, multiple sources tell WIRED. Since October, according to a copy of his résumé, Solly has worked as the chief technology officer for the health IT division of a government contractor called Leidos, which has already received millions in SSA contracts and could receive up to $1.5 billion in contracts with SSA based on a five-year deal it signed in 2023. Solly's personal website and LinkedIn have been taken offline as of this week.

As students returned to school this week, WIRED spoke to a self-proclaimed leader of a violent online group known as "Purgatory" about a rash of swattings at universities across the US in recent days. The group claims to have ties to the loose cybercriminal network known as The Com, and the alleged Purgatory leader claimed responsibility for calling in hoax active-shooter alerts. Researchers from multiple organizations warned this week that cybercriminals are increasingly using generative AI tools to fuel ransomware attacks, including real situations where cybercriminals without technical expertise are using AI to develop the malware. And a popular, yet enigmatic, shortwave Russian radio station known as UVB-76 seems to have turned into a tool for Kremlin propaganda after decades of mystery and intrigue. Each week, we round up the security and privacy news we didn't cover in depth ourselves.

In this paper, methods and models for the design of educational interventions and usable systems are presented and synthesized. The purpose is to suplliment the design process with educational considerations and discern design principles for the development of serious STEM games. This synthesis can contribute to the design of the next generation of technologically enhanced learning environments.

Despite pandemic-driven restrictions on movement, there were over 12,000 accidents in Madrid in 2020, leading to 31 fatalities. In Barcelona, there were more than 5,700 collisions, causing 14 deaths. Pedestrian and vehicle safety is a priority, which is why a research project at the Universitat Oberta de Catalunya (UOC) is harnessing artificial intelligence (AI) to make decisions that will make cities safer. The researchers have looked into the correlation between the complexity of certain urban areas and the likelihood of an accident occurring there. According to the researchers, the data they have gathered can be used to train neural networks to detect probable hazards in an area and work out patterns associated with this high risk potential.

Despite pandemic-driven restrictions on movement, there were over 12,000 accidents in Madrid in 2020, leading to 31 fatalities. In Barcelona, there were more than 5,700 collisions, causing 14 deaths. Pedestrian and vehicle safety is a priority, which is why a research project at the Universitat Oberta de Catalunya (UOC) is harnessing artificial intelligence (AI) to make decisions that will make cities safer. The researchers have looked into the correlation between the complexity of certain urban areas and the likelihood of an accident occurring there. According to the researchers, the data they have gathered can be used to train neural networks to detect probable hazards in an area and work out patterns associated with this high risk potential. The researchers, headed by Cristina Bustos and Javier Borge, are working with algorithms that will aid traffic authorities in reducing the likelihood of accidents in urban environments.

There has been significant recent work on data-driven algorithms for learning general-purpose grasping policies. However, these policies can consistently fail to grasp challenging objects which are significantly out of the distribution of objects in the training data or which have very few high quality grasps. Motivated by such objects, we propose a novel problem setting, Exploratory Grasping, for efficiently discovering reliable grasps on an unknown polyhedral object via sequential grasping, releasing, and toppling. We formalize Exploratory Grasping as a Markov Decision Process, study the theoretical complexity of Exploratory Grasping in the context of reinforcement learning and present an efficient bandit-style algorithm, Bandits for Online Rapid Grasp Exploration Strategy (BORGES), which leverages the structure of the problem to efficiently discover high performing grasps for each object stable pose. BORGES can be used to complement any general-purpose grasping algorithm with any grasp modality (parallel-jaw, suction, multi-fingered, etc) to learn policies for objects in which they exhibit persistent failures. Simulation experiments suggest that BORGES can significantly outperform both general-purpose grasping pipelines and two other online learning algorithms and achieves performance within 5% of the optimal policy within 1000 and 8000 timesteps on average across 46 challenging objects from the Dex-Net adversarial and EGAD! object datasets, respectively. Initial physical experiments suggest that BORGES can improve grasp success rate by 45% over a Dex-Net baseline with just 200 grasp attempts in the real world. See https://tinyurl.com/exp-grasping for supplementary material and videos.

To answer the question, "Where's Waldo?" readers need to look for a number of distinguishing features. Several characters may be spotted with a striped scarf, striped hat, round-rimmed glasses, or a cane, but only Waldo will have all of these features. As described July 22, 2019, in Nature Microbiology, a team led by scientists at the U.S. Department of Energy (DOE) Joint Genome Institute (JGI), a DOE Office of Science User Facility, developed an algorithm that a computer could use to conduct a similar type of search in microbial and metagenomic databases. In this case, the machine "learned" to identify a certain type of bacterial viruses or phages called inoviruses, which are filamentous viruses with small, single-stranded DNA genomes and a unique chronic infection cycle. "We're not sure why we systematically manage to miss them; maybe it's due to the way we currently isolate and extract viruses," said the study's lead author Simon Roux, a JGI research scientist in the Environmental Genomics group.

The science-fiction writer and futurist Stanisław Lem was well acquainted with the way that fictional worlds can sometimes encroach upon reality. In his autobiographical essay "Chance and Order," which appeared in The New Yorker, in 1984, Lem recalls how as an only child growing up in Lvov, Poland, he amused himself by creating passports, certificates, permits, government memos, and identification papers. Equipped with these eccentric toys, he would then privately access fictional places "not to be found on any map." Some years later, when his family was fleeing the Nazis, Lem notes that they escaped certain death with the help of false papers. It was as if the child's innocent game had prophesied a horrific turn in history, and Lem wonders if he'd sensed some calamity looming on the horizon--if his game had sprung "perhaps from some unconscious feeling of danger."

BOGOTA, Colombia – The exiled opposition leader accused by Venezuelan authorities of directing a failed plot to assassinate President Nicolas Maduro says the greatest threat to the embattled socialist leader may be his detractors in uniform standing quietly behind him. Julio Borges, who once led Venezuela's opposition-controlled National Assembly, said Tuesday that the arrests of two high-ranking military officers in connection with the attack using drones loaded with plastic explosives is yet another signal that fractures within the nation's armed forces are growing. "The conflict today is within the government -- not just at the political level, but more importantly within the armed forces," Borges said in an interview with The Associated Press in Colombia's capital. His comments came hours after Venezuela's chief prosecutor announced the arrest of Gen. Alejandro Perez and Col. Pedro Zambrano from Venezuela's National Guard as part of the investigation into the Aug. 4 attack. Their alleged roles were not described.

CARACAS – Venezuela's all-powerful constituent assembly was to launch proceedings Wednesday to try opposition lawmakers over a failed "attack" on President Nicolas Maduro, who also accused exiled opposition leader Julio Borges over the incident. Constituent Assembly chief Diosdado Cabello called the session to strip the lawmakers of their parliamentary immunity so they could face trial for the alleged and failed bid to kill the president. "When justice comes, it hits hard," Cabello said. Maduro and his government said the president had been targeted by two flying drones each carrying 1 kilogram (2.2 pounds) of powerful C4 plastic explosives. But details of Saturday's incident remain unclear, with conflicting information coming from various sources. The Maduro administration said Colombia -- including ex-President Juan Manuel Santos, who ended his term Tuesday -- had collaborated on the attack with the "ultra-far-right" Venezuelan opposition, and it was financed by unnamed figures in Florida.