Researchers engineer a material that can perform different tasks depending on temperature
Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to ...
Tag: tasks
Redefining Transformers: How Simple Feed-Forward Neural Networks Can Mimic Attention Mechanisms for Efficient Sequence-to-Sequence Tasks
Researchers from ETH Zurich analyze the efficacy of utilizing standard shallow feed-forward networks to emulate the attention mechanism in the ...
Microsoft Research Introduces Florence-2: A Novel Vision Foundation Model with a Unified Prompt-based Representation for a Variety of Computer Vision and Vision-Language Tasks
There has been a noticeable trend in Artificial General Intelligence (AGI) systems toward using pre-trained, adaptable representations, which provide task-agnostic ...
Meet SecureLoop: An AI-Powered Search Tool to Identify an Optimal Design for a Deep Learning Accelerator that can Boost the Performance of Complex AI Tasks while Requiring Less Energy
Deep learning is witnessing a rapid proliferation of Deep Neural Networks (DNNs) across diverse applications, spanning healthcare, speech recognition, and ...
ATLAS uses sensing technologies, ML algorithms to automate manual tasks during target acquisition
The Advanced Targeting and Lethality Aided System (ATLAS) is a joint effort between DEVCOM's C5ISR and Armaments Centers. It uses ...
HuggingFace Introduces TextEnvironments: An Orchestrator between a Machine Learning Model and A Set of Tools (Python Functions) that the Model can Call to Solve Specific Tasks
Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO) are all part of TRL. In this full-stack library, ...
Researchers from Stanford Propose ‘EquivAct’: A Breakthrough in Robot Learning for Generalizing Tasks Across Different Scales and Orientations
Humans can extrapolate and learn to solve variations of a manipulation task if the objects involved have varied visual or ...
Accelerating AI tasks while preserving data security | MIT News
With the proliferation of computationally intensive machine-learning applications, such as chatbots that perform real-time language translation, device manufacturers often incorporate ...
This AI Paper Introduces CLIN: A Continually Learning Language Agent that Excels in Both Task Adaptation and Generalization to Unseen Tasks and Environments in a Pure Zero-Shot Setup
Continual advancements in artificial intelligence have developed sophisticated language-based agents capable of performing complex tasks without the need for extensive ...
This is How I’ve Automated All My Tasks (Using AI)
Let's take a look at some fun AI automations using Make. We'll create an automation to summarize and read emails ...
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