Representational bias in large language models (LLMs) has predominantly been measured through single-response interactions and has focused on Global North-centric identities like race and gender. We expand on that research by conducting a systematic audit of GPT -4 Turbo to reveal how deeply encoded representational biases are and how they extend to less-explored dimensions of identity. We prompt GPT - 4 Turbo to generate over 7,200 stories about significant life events (such as weddings) in India, using prompts designed to encourage diversity to varying extents. Comparing the diversity of religious and caste representation in the outputs against the actual population distribution in India as recorded in census data, we quantify the presence and "stickiness" of representational bias in the LLM for religion and caste. We find that GPT -4 responses consistently overrepresent culturally dominant groups far beyond their statistical representation, despite prompts intended to encourage representational diversity. Our findings also suggest that representational bias in LLMs has a winner-take-all quality that is more biased than the likely distribution bias in their training data, and repeated prompt-based nudges have limited and inconsistent efficacy in dislodging these biases. These results suggest that diversifying training data alone may not be sufficient to correct LLM bias, highlighting the need for more fundamental changes in model development.

Bengaluru, India – On January 23, an icon of Indian cinema and politics, M Karunanidhi appeared before a live audience on a large projected screen, to congratulate his 82-year-old friend and fellow politician TR Baalu on the launch of his autobiographical book. Dressed in his trademark black sunglasses, white shirt, and a yellow shawl around his shoulders -- Karunanidhi's style was spot on. In his eight-minute speech, the veteran poet-turned-politician congratulated the book's author but was also effusive in his praise for the able leadership of MK Stalin, his son and the current leader of the state. Karunanidhi has been dead since 2018. This was the third time, in the past six months, that the iconic leader of the Dravida Munnetra Kazhagam (DMK) party was resurrected using artificial intelligence (AI) for such public events.

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Telcos are hoping that 5G will transform enterprises the way 4G helped consumers. For instance, watching Fifa World Cup 2022 would have been a delight for many with 5G networks. The first rollouts took place in 2019 in South Korea and the US, but since then 5G has been rolled out in over 70 countries. In India, 5G services were launched by Bharti Airtel and Reliance Jio in October. According to a GSMA Intelligence report, published in October, 5G can contribute $455 billion to the Indian economy between 2023 and 2040.

Here, we shall discuss Why Robot Framework for Acceptance Testing and ATDD. This blog will help you understand more about Robot Framework.

The latest Tweet by ANI states, 'Coimbatore, Tamil Nadu | Currently, my primary focus is Artificial intelligence and blockchain. Further, I plan to create artificial intelligence for auto-pilot in India with pretty low investment: Arnav Sivaram' 📰 Coimbatore, Tamil Nadu | Currently, My Primary Focus is Artificial Intelligence and ... - Latest Tweet by ANI.

Krishnagiri: Betting big on autonomous mobility, Ola Founder and CEO Bhavish Aggarwal said on Saturday that Ola Electric has started testing an autonomous vehicle which it will launch in the global market in about two years' time. Speaking to reporters at Ola FutureFactory in Krishnagiri district in Tamil Nadu, Aggarwal said that Ola will look forward to launching a car with indigenously-developed autonomous technology that will be a mass-level vehicle. "Ola Electric began testing an autonomous vehicle nearly six months ago and will launch it in global markets by late 2023 or early 2024," he said. According to him, Ola Electric will aim to launch a car for around Rs 10 lakh so that more people can afford it. At its 500-acre electric two-wheeler manufacturing facility at Pochampalli town in Tamil Nadu, the company also showcased a self-driving cart that uses LiDAR, short for light detection and ranging technology, which will be exported to other countries.

Imagine that you could see your late loved ones again. The longing to reconnect with the people we've lost is as basic as breathing, so it's no surprise that designers and engineers have started exploring how we deal with death, and, as part of that bottomless topic, how to technologically reinvigorate the departed. There is a new culture arising between humans and machines. From virtual reality (VR) and metaverse to artificial intelligence (AI), advances in technology have spurred a series of initiatives offering different shades of virtual immortality in recent years. The digital afterlife -- in the metaverse one can create avatars of dead people and bring them back to life (virtual life).

Pfizer Inc. is an American multinational pharmaceutical and biotechnology corporation headquartered on 42nd Street in Manhattan, New York City. Pfizer develops and produces medicines and vaccines for immunology, oncology, cardiology, endocrinology, and neurology. The company has several blockbuster drugs or products that each generate more than US$1 billion in annual revenues.

Many causes of vision loss that can be prevented or treated are cumulatively termed as avoidable Blindness, including conditions such as cataracts, refractive errors, xerophthalmia, trachoma, glaucoma, and diabetic retinopathy. Due to its image recognition capabilities, AI has been growing in popularity where image analysis is essential to disease diagnosis and treatment. AI-based systems are trained with many pictures of the eye, following which the algorithms learn the difference between normal images and abnormal images. And early diagnosis and treatment can prevent or minimize vision loss or impairment. Telangana government was concerned about the high number of blindness and vision impairment cases that occurred in children due to a lack of trained and skilled ophthalmologists.