How novice coders can develop AI programs for military applications
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
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Software
Improving the speed and energy-efficiency of AI agents
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
Read MoreThe End of One-Size-Fits-All Enterprise Software
Companies now have the option to build, compose, collaborate, or buy outcomes rather than make do with existing SaaS offerings.
Read MoreExposing biases, moods, personalities, and abstract concepts hidden in large language models
A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.
Read MoreTo Thrive in the AI Era, Companies Need Agent Managers
Just as product managers emerged during the software revolution, agent managers are becoming essential to translating strategic intent into reliable outcomes.
Read MoreHelping AI agents search to get the best results out of large language models
EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.
Read MoreIs Your Workplace Set Up for AI Agents?
Getting the most out of this new technology requires revamping software, organizational structures, and workflows designed for human workers.
Read MoreMIT Sea Grant students explore the intersection of technology and offshore aquaculture in Norway
AquaCulture Shock program, in collaboration with MIT-Scandinavia MISTI, offers international internships for AI and autonomy in aquaculture
Read MoreNew AI agent learns to use CAD to create 3D objects from sketches
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
Read MoreMIT researchers propose a new model for legible, modular software
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.
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