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Multimodal reasoning stands as a pivotal capability for large vision-language models (LVLMs). The integration with Domain-Specific Languages (DSL), offering precise visual representations, equips these models with the opportunity to execute more accurate reasoning in complex and professional domains. However, the vanilla Chain-of-Thought (CoT) prompting method faces challenges in effectively leveraging the unique strengths of visual and DSL representations, primarily due to their differing reasoning mechanisms. Additionally, it often falls short in addressing critical steps in multi-step reasoning tasks. To mitigate these challenges, we introduce the \underline{B}i-Modal \underline{B}ehavioral \underline{A}lignment (BBA) prompting method, designed to maximize the potential of DSL in augmenting complex multi-modal reasoning tasks. This method initiates by guiding LVLMs to create separate reasoning chains for visual and DSL representations. Subsequently, it aligns these chains by addressing any inconsistencies, thus achieving a cohesive integration of behaviors from different modalities. Our experiments demonstrate that BBA substantially improves the performance of GPT-4V(ision) on geometry problem solving ($28.34\% \to 34.22\%$), chess positional advantage prediction ($42.08\% \to 46.99\%$) and molecular property prediction ($77.47\% \to 83.52\%$).

A young computer scientist who grew up in Mississippi is focusing her efforts on fairness and identifying biases in technology. Though she's working in Atlanta as an artificial intelligence researcher for Amazon, she's reinvesting much of her earnings towards the development of a multi-million dollar innovation center that's set to transform her native downtown Jackson. Dr. Nashlie Sephus is also CEO of The Bean Path -- a non-profit that works to bridge the "tech gap" in communities where access to technical expertise, computer coding and other resources are limited. She speaks candidly with host Eddie Robinson about her experiences in closing commercial real estate deals in the Deep South and how she's worked in a field of study where there's not many Black women with PhDs.

In response to this need, Shelby Lyman, the host of past Public Broadcasting Station (PBS) series on world chess championship matches, organized the AGS Challenge Match at the New School for Social Research in New York City. Funding for this event was provided by AGS Computers, Inc., a New Jersey-based software firm. The match was held September 22-25, with one game played each day, and was widely covered by the international press. Participating were Hitech, at 2407 then the highest-rated computer in the world, and International Grandmaster Arnold S. Denker, a former U.S. champion. Denker's rating of 2410 was comparable to that of Hitech.

In drone footage captured on May 18 in Monterey, California, a group of orcas is seen carrying out a coordinated attack on a blue whale. Orcas, also known as killer whales, are known to prey on other marine mammals, including dolphins and seals. But even these fearsome predators don't stand much of a chance against a mature blue whale: The largest animal on the planet, an adult blue whale can reach up to a hundred feet long and weigh close to 200 tons. In this instance, the large blue whale flipped on its side, sending up what seemed like a wall of water, and swam away at a speed that far outpaced the orcas, says marine biologist Nancy Black, who captured the event from on board a whale-watching boat. The real reason the orcas likely orchestrated an attack? "They were probably doing it for the heck of it," says Black. "They play with [whales] like cats play with their prey.