The first extrasolar planets (exoplanets) were discovered in 1992 by Arecibo Observatory. Orbiting around a fast-rotating neutron star named the Lich Pulsar, they were three small planets named Draugr, Poltergeist, and Phobetor. The first planet around a star similar to our sun was discovered in 1995, and now we know of more than 3,700 planets outside of our solar system.
To categorize all these new discoveries, astronomer Abel Méndez from the Planetary Habitability Laboratory has created a Periodic Table of Exoplanets with 18 categories based on size, temperature, and composition.
On the left side, the planets are slotted into one of three zones, roughly based on how water would exist on the surface as vapor, liquid, or ice. The warm or “habitable” zone exoplanets hold the most interest for researchers, as those are the locations most likely to support life. “Unfortunately, we don’t know yet if they also have the right amount of water (e.g. oceans) or the right atmosphere for life too,” Méndez explained to Gizmodo.
Across the top, the planets are split between rocky “Terran” and gaseous “Gas Giants.” Those two designations are further subdivided by size, ranging from Miniterrans (like our moon) to Jovians (such as Jupiter or Saturn).
The numbers show how many exoplanets of each type have been discovered, as well as the percentage of the total. You can see that 21 Warm Terrans were discovered that are the most similar to our Earth so far, or about 0.6% of the total.
Along the upper right, the numbers indicate how many stellar systems we’ve discovered, and how may exoplanets each one contains. For example, we’ve 16 systems have been uncovered that contain seven planets. Most stellar systems that astronomers have found contain at least one planet.
For comparison, the Solar System Periodic Table categorizes the 82 planets, dwarf-planets, and moons in our own system whizzing around the sun or orbiting various planets.
The majority of the discoveries are hot planets, but that’s likely because they’re much easier to detect, and thousands more are out there awaiting discovery. “I’m overwhelmed by the number and diversity of planets in the stars around us,” Méndez said. “So many places to explore in our own Solar System, but much more is waiting for us beyond.”
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.
Military working dogs charge into places the rest of us would flee. So, I understand why anyone would want to breed tougher, healthier dogs for the job.
Warhound, a new startup from Colossal Biosciences co-founder Ben Lamm and Anduril co-founder Palmer Luckey, has stepped out of stealth with $200 million to clone and gene-edit working dogs for American troops, police departments, and emergency services (via TechCrunch).
AI can describe a picture, identify objects, and answer questions about what a camera sees. But when a blind user needs a quick answer, getting an entire spoken essay about the scene isn't exactly helpful. Researchers at the University of Maryland (UMD) have found that AI-powered visual assistance can leave blind users doing too much work to get the information they actually need.
The study, titled Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users, examined how people interact with Be My AI, an AI-powered feature of the Be My Eyes app. The researchers found that users often received lengthy descriptions that didn't adequately address their immediate goals, forcing them to ask follow-up questions or find ways to steer the AI towards a more useful answer.