Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Microsoft Research 블로그
Azure AI milestone: Microsoft KEAR surpasses human performance on CommonsenseQA benchmark
KEAR (Knowledgeable External Attention for commonsense Reasoning)—along with recent milestones in computer vision and neural text-to-speech—is part of a larger Azure AI (opens in new tab) mission to provide relevant, meaningful AI solutions and services that work better…
![An illustration of the KEAR architecture represented by five panels side by side. The first contains an input question—“What is a treat that your dog will enjoy?”—and the answer choices “salad,” “petted,” “affection,” “bone,” and “lots of attention.” The second panel has three boxes, each representing retrieval from a specific knowledge source. A box labeled “Knowledge Graph” has a silhouette of a dog and underneath it and labeled “desires” a silhouette of a dog being petted; a heart representing “affection”; a bone; and clapping hands representing “lots of attention.” A box labeled “relevant questions” has the question “What do dogs like to eat?” and the accompanying answer “Bones.” A boxed labeled “dictionary” contains the definition of “bone”: “a composite material making up the skeleton of most vertebrates.” The third panel, labeled “concatenation with input,” contains the input question followed by “Dog, desires, bone. Dog, desires, lots of attention” followed by the relevant question and finally the dictionary definition of bone. In between each is a separation token [SEP]. The fourth panel is labeled “language model” and contains a quote box labeled “language services,” a cube labeled “model,” and left and right braces punctuation within a circle labeled “language understanding.” The fifth panel is labeled “output” and includes silhouettes of each of the five answer choices. The silhouette of the bone is highlighted in blue, representing the appropriate response.](https://cm-edgetun.pages.dev/en-us/research/wp-content/uploads/2021/12/1400x788_Common_Sense_still_no_logo-1-scaled.jpg){kind=logo}
Microsoft Research 블로그
Azure AI milestone: New Neural Text-to-Speech models more closely mirror natural speech
Neural Text-to-Speech—along with recent milestones in computer vision and question answering—is part of a larger Azure AI (opens in new tab) mission to provide relevant, meaningful AI solutions and services that work better for people…
프로젝트
Bioacoustics
Bioacoustics is a cross-disciplinary science that combines biology and acoustics. Usually, it refers to the investigation of sound production, dispersion and reception in animals (including humans). In our research lab, we collaborate with conservation organizations…
동영상
Unification – Map
Series – Customer Insights in Under 5 Ever wonder what “intelligent mapping” does? What entities to include in the Map phase of Unification? Or maybe what all the fuse is about Types? In this video…
동영상
Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation
This keynote by Simon Peyton Jones was recorded at Haskell eXchange 2021 on 16 November 2021: Automatic differentiation is all the rage these days, largely because it is a key enabler for machine learning. But…
Microsoft Research 블로그
Research at Microsoft 2021: Collaborating for real-world change
Over the past 30 years, Microsoft Research has undergone a shift in how it approaches innovation, broadening its mission to include not only advancing the state of computing but also using technology to tackle some…
