Breakthroughs, discoveries, and DIY tips sent every weekday. The world's harbor seals (Phoca vitulina) are masters in seeing through the cloudy coastal waters they call home. Equipped with dexterous whiskers, these pinnipeds use a suite of senses to navigate their surroundings with ease. Harbor seals may also use an important part of their vision to determine which direction they are moving, even with such an opaque view of the world. Now, we might know a bit more about how they can tell which direction they are heading.

Chain-of-thought (CoT) prompting enables large language models (LLMs) to solve complex reasoning tasks by generating an explanation before the final prediction. Despite it's promising ability, a critical downside of CoT prompting is that the performance is greatly affected by the factuality of the generated explanation. To improve the correctness of the explanations, fine-tuning language models with explanation data is needed. However, there exists only a few datasets that can be used for such approaches, and no data collection tool for building them. Thus, we introduce CoTEVer, a tool-kit for annotating the factual correctness of generated explanations and collecting revision data of wrong explanations. Figure 1: Example of Explanation Verification and Answer Furthermore, we suggest several use cases Verification of GPT-3's output. Explanation Verification where the data collected with CoTEVer can requires additional knowledge which makes it be utilized for enhancing the faithfulness of hard for annotators to intuitively write a revised explanation explanations. Our toolkit is publicly available and answer.

Facial recognition technology is mostly associated with uses such as surveillance and the authentication of human faces, but scientists believe they've found a new use for it -- saving seals. A research team at Colgate University has developed SealNet, a database of seal faces created by taking pictures of dozens of harbor seals in Maine's Casco Bay. The team found the tool's accuracy in identifying the marine mammals is close to 100%, which is no small accomplishment in an ecosystem home to thousands of seals. The researchers are working on expanding their database to make it available to other scientists, said Krista Ingram, a biology professor at Colgate and a team member. Broadening the database to include rare species such as the Mediterranean monk seal and Hawaiian monk seal could help inform conservation efforts to save those species, she said.

Scientists find that the whiskers of harbor seals help them distinguish predator from prey -- even from a distance. Scientists find that the whiskers of harbor seals help them distinguish predator from prey -- even from a distance. Using lessons learned from harbor seals and artificial intelligence, engineers in California may be on to a new way to track enemy submarines. The idea started with research published in 2001 on the seals. Scientists at the University of Bonn in Germany showed that blindfolded seals could still track a robotic fish. The researchers concluded that the seals did this by detecting the strength and direction of the whirling vortex the robot created as it swam through the water.