Skip to main content

Researchers Solve Long-Standing Mystery After Voyager's 1986 Flyby of Uranus

2 months 2 weeks ago
"The planet Uranus emits more heat than it gets from the Sun," reports Science Daily , citing a new study led by University of Houston researchers, in collaboration with planetary scientists worldwide. "This means it's still slowly losing leftover heat from its early history," says the first author on the paper, "a key piece of the puzzle that helps us understand its origins and how it has changed over time." The study found the planet emitting about 12.5% more heat than it absorbs via sunlight, which "suggests Uranus does have its own internal heat — an advance that not only informs NASA's future missions but also deepens scientists' understanding of planetary systems, including processes that influence Earth's climate and atmospheric evolution." The discovery resolves a long-standing scientific mystery about the giant planet, because observational analyses from Voyager 2 in 1986 didn't suggest the presence of significant internal heat — contradicting scientists' understanding of how giant planets form and evolve... Additionally, the team's methodology provides testable theories and models that could also be applied to explore radiant energy of other planets within and beyond our solar system... It could even impact technology innovation and climate understanding on Earth [giving insights intoi "the fundamental processes that shape planetary atmospheres, weather systems and climate systems," said one of the paper's authors.] The article adds that the researchers now think the planet "may have a different interior structure or evolutionary history compared to the other giant planets."

Read more of this story at Slashdot.

EditorDavid

AI Is Reshaping Hacking. No One Agrees How Fast

2 months 2 weeks ago
"Several cybersecurity companies debuted advancements in AI agents at the Black Hat conference last week," reports Axios, "signaling that cyber defenders could soon have the tools to catch up to adversarial hackers." - Microsoft shared details about a prototype for a new agent that can automatically detect malware — although it's able to detect only 24% of malicious files as of now. - Trend Micro released new AI-driven "digital twin" capabilities that let companies simulate real-world cyber threats in a safe environment walled off from their actual systems. - Several companies and research teams also publicly released open-source tools that can automatically identify and patch vulnerabilities as part of the government-backed AI Cyber Challenge. Yes, but: Threat actors are now using those AI-enabled tools to speed up reconnaissance and dream up brand-new attack vectors for targeting each company, John Watters, CEO of iCounter and a former Mandiant executive, told Axios. The article notes "two competing narratives about how AI is transforming the threat landscape." One says defenders still have the upper hand. Cybercriminals lack the money and computing resources to build out AI-powered tools, and large language models have clear limitations in their ability to carry out offensive strikes. This leaves defenders with time to tap AI's potential for themselves. [In a DEF CON presentation a member of Anthropic's red team said its Claude AI model will "soon" be able to perform at the level of a senior security researcher, the article notes later] Then there's the darker view. Cybercriminals are already leaning on open-source LLMs to build tools that can scan internet-connected devices to see if they have vulnerabilities, discover zero-day bugs, and write malware. They're only going to get better, and quickly... Right now, models aren't the best at making human-like judgments, such as recognizing when legitimate tools are being abused for malicious purposes. And running a series of AI agents will require cybercriminals and nation-states to have enough resources to pay the cloud bills they rack up, Michael Sikorski, CTO of Palo Alto Networks' Unit 42 threat research team, told Axios. But LLMs are improving rapidly. Sikorski predicts that malicious hackers will use a victim organization's own AI agents to launch an attack after breaking into their infrastructure.

Read more of this story at Slashdot.

EditorDavid