Kalika Bali, Principal Researcher, Microsoft Research India
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Kalika Bali, Principal Researcher, Microsoft Research India

Kalika Bali works work broadly in the area of speech and language technology, especially in the use of linguistic models for building technology that offers a more natural human-computer interactions, and technology for low-resource languages. She has been working in the field of Speech and Natural Language Processing for over two decades and believes that local language technology especially with speech interfaces, can help millions of people gain entry into a world that is till now almost inaccessible to them.
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Working in the fields of machine learning, natural language systems and applications, and technology for emerging markets, Kalika Bali is a researcher at Microsoft Research India. Her areas of interest in speech and language technology are diverse, with a focus on using linguistic models to develop technology that facilitates more natural interactions between humans and computers.

She is presently employed with Project Mélange, which aims to comprehend, interpret, and produce speech and text data that is code-mixed. In all multilingual communities, code-mixing—the employment of many languages in a single exchange or statement—is a common occurrence. Even while code-mixing has been researched in the past as a characteristic of conversational speech, it is now frequently observed in texts due to the explosive growth of social media and other online forums. It is essential that students understand how to replicate this in speech as well, because conversational speech applications, such as personal assistants and speech-to-speech translations, rely on these skills.


2023

Microsoft has been at the forefront of innovative developments, such as its collaborations with OpenAI and the incorporation of ChatGPT features into search, work, and learning applications. Microsoft is reconsidering cloud infrastructure as the business dives deeper into AI to guarantee optimization at every stage of the hardware and software stack.

Microsoft Ignite is a showcase of the advances being developed to help customers, partners and developers achieve the total value of Microsoft’s technology and reshape the way work is done.

Ignite is launching significant advancements across a fleet of datacenters, which include two new processors created by Microsoft and the most recent AI-optimized silicon from industry partners.

  • Microsoft Azure Maia is an AI Accelerator chip that can be used with Bing, GitHub Copilot, ChatGPT, and OpenAI models to do cloud-based training and inferencing.
  • A cloud-native Microsoft Azure Cobalt chip is designed for general-purpose applications and is tuned for cost-effectiveness, performance, and power economy.

Furthermore, Microsoft is launching Azure Boost, a technology that transfers


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