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Wipro and IBM join hands to develop AI platform

• Wipro and IBM collaborate to propel enterprise generative AI workloads, including using
AI The Wipro Enterprise AI- Ready Platform code-based configurations to enhance auto-
harnesses various components of the IBM mation; dynamic resource management to
watsonx suite, including watsonx.ai, wat- dynamically adjust to varying workloads
sonx.data, and watsonx.governance, along- using predictive analytics; and helping drive
side AI assistants. It offers clients a compre- improvements in incident reduction and
hensive suite of tools, large language models operational efficiency in the enterprise. The
(LLMs), streamlined processes, and robust Platform will also support specialized industry
governance mechanisms, laying a solid use cases for banking, retail, health, energy,
foundation for the development of future and manufacturing, providing conversational
industry-specific analytic solutions. AI for customer support, customized marketing,
customer feedback analysis, content
Wipro Enterprise AI-Ready Platform will generation and design optimization, thereby
provide clients with infrastructure and core enhancing value for clients.
software for the consumption of AI and

Open AI rolls out ChatGPT memory to users Scientist Develop real- time Human
emotion recognition technology
OpenA I
rolls out World’s first real-time
ChatGPT wearable human
memory to emotion recognition
select users technology developed a
According technology that can
to OpenAI, recognize human
ChatGPT’s memory will improve over time emotions in real time
as users interact with it more. has been developed
by Professor Jiyun Kim and his research
For example, ChatGPT could remember a team in the Department of Material Science
user’s preferred meeting note format, tailor and Engineering at UNIST. This innova-
birthday card suggestions based on a user tive technology is poised to revolu-
mentioning their child’s interests, or apply tionize various industries, including
a user’s chosen tone and voice when next-generation wearable systems that
drafting blog posts without needing to be provide services based on emotions.
told repeatedly. Users remain in control of Professor Kim emphasized, For effective
ChatGPT’s memory and can turn it off interaction between humans and machines,
completely if desired. They can also human-machine interface (HMI) devices
selectively delete memories or clear all must be capable of collecting diverse data
memories through ChatGPT’s settings. types and handling complex integrated
OpenAI states that memories information.
evolve based on interactions This study exemplifies the
and are not tied to specific Deepti Gupta potential of using emo-
conversations.We’re TGT Mathematics tions, which are complex
testing ChatGPT, ability to Adarsh Gyan Sarover forms of human informa-
remember. Balika Vidyalaya tion, in next-generation
wearable systems.

•https://www.sciencedaily.com/releases/2024/01/240126001915.htm#:~:text=Su 25
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