The impressive essay writing and problem-solving capabilities of large language models (LLMs) like OpenAI's ChatGPT have opened up new avenues in education. Our goal is to gain insights into the widespread use of LLMs among secondary students to inform their future development. Despite school restrictions, our survey of over 300 middle and high school students revealed that a remarkable 70% of students have utilized LLMs, higher than the usage percentage among young adults, and this percentage remains consistent across 7th to 12th grade. Students also reported using LLMs for multiple subjects, including language arts, history, and math assignments, but expressed mixed thoughts on their effectiveness due to occasional hallucinations in historical contexts and incorrect answers for lack of rigorous reasoning. The survey feedback called for LLMs better adapted for students, and also raised questions to developers and educators on how to help students from underserved communities leverage LLMs' capabilities for equal access to advanced education resources. We propose a few ideas to address such issues, including subject-specific models, personalized learning, and AI classrooms.

Over 3 days in a face-to-face professional development, a team of educators and researchers (including myself) led an AI capacity-building workshop and facilitated the development of lessons for students that involved the use or creation of AI technologies. In a previous article about AI, I mentioned how most schools will be caught by surprise by how advanced AI has become and what it means for the classroom. This school will not only be ready, but will be co-facilitating the use of AI in lessons and will encourage students to build and use AI. The school is called the Darunsikkhalai School for Innovative Learning (Bangkok) and from my experience and observation is the most innovative school on the planet. Sounds like a bold statement, but let me explain.

Businesses are evolving and searching for newer ways to accomplish their goals, hence the need for artificial intelligence (AI). AI involves building smart machines to carry out tasks that typically need human intelligence, and AI simulates human intelligence using computer systems. The two major AI types used in businesses today are reactive machines and limited memory. Reactive AI machines are programmed with predictable outputs based on the input they receive. So, they use their intelligence to perceive the world and respond to identical situations similarly.

Kevin Markarian is the cofounder of Roopler, an AI-driven lead generation platform built for the real estate industry. Artificial intelligence is rapidly upending how people do business across industries, and yet skeptics still abound. But is there really a reason to fear AI? AI will change how we work and do business, and its impact is already being felt. Still, that doesn't mean it is something to fear. On the contrary, business managers and leaders who embrace AI and harness its potential now have everything to gain.

It's no secret the medtech industry has embraced artificial intelligence (AI) and machine learning (ML). Pharmaceutical companies are leaping into the AI/ML space, too. There have been about 100 partnerships that have been established between pharmaceutical companies and AI vendors, according to a report from clinicaltrialsarena.com citing GlobalData Healthcare data. Earlier today (Wednesday), Merck announced its plan to dive deeper into the space. The pharma powerhouse said it was launching the Merck Digital Sciences Studio (MDSS), which will help early-stage biomedical startups with direct investment, access to powerful Azure Cloud computing, and opportunities to pilot their technologies in collaboration with discovery and clinical scientists at Merck.

If you are thinking AI is a big thing for small businesses, then think again. Sure enough, IT powerhouses like Amazon and USP are relying on AI robots to enhance employee experience. But then, the fact is, even start-ups are readily experimenting with AI technologies, big-time. For instance, there's a pizza start-up in Mountain View, California that is employing several robots to assist humans in assembling and baking pizzas. The point is AI is not just the province of big businesses.

It is been decades now that new modern advancements in technology have professionally impacted the way people live, work and play. Thereby machine learning implemented almost every aspect of modern life. While the real thought of robots leading surgeries or any kind of app centred data-keeping treatment plans little advancement which is for the better. So automating processes in the healthcare industry would positively affect patients and workers. It is enumerated that smart structures with advanced machine learning support are known as intelligent apps.

Many key technology areas that were already growing prior to the pandemic have gotten accelerated, producing an even greater need for solution providers to focus in on areas such as cybersecurity, cloud and AI, a panel of channel chiefs said during the Best of Breed Virtual event Wednesday. Without a doubt, the IT industry has become even more essential amid the impacts of COVID-19, said Ron Dupler, CEO of Kittery, Maine-based solution provider GreenPages, who served as moderator for the panel. "Essentially, we kept the world running to a large degree during this," said Dupler (pictured top left) during the session at the Best of Breed Virtual Spring 2021 event, which was hosted by CRN parent The Channel Company. Now, the opportunity is to meet the increased demand for digital transformation among customers going forward--using expertise in segments such as AI and automation, advanced security and a variety of cloud technologies, panelists said. An emphasis on speed to market and customer experience have gotten "amplified" in the environment shaped by the pandemic, said Ryan Walsh (pictured bottom right), chief product officer and channel chief at cloud distributor Pax8.

New Delhi, Oct 15 (IANS) Chip giant Intel on Thursday said that Artificial Intelligence (AI) is essential to the future of work in the post-pandemic world, with over 90 per cent respondents in a survey considering AI to be essential or highly relevant to their businesses in India. More than 40 per cent of small and micro revenue firms are using AI for decision support while in medium sized firms, nearly 50 per cent rely entirely on human decision-making as they still do not use AI, revealed the report by Intel India based on two surveys in the country. Conducted by the Srini Raju Centre for Information Technology and the Networked Economy (SRITNE) at Indian School of Business (ISB), the Suitability of Machine Learning (SML) survey had 3,099 employees across 106 Indian occupations, and the'AI and Future of Work' survey had 301 firms across sectors that have adopted AI/machine learning (ML) in their workflows. Over 70 per cent of respondents across various firm categories expect their organisational headcount to increase in response to AI over the next two years while a similar number indicated the growth of all firm-level initiatives to support AI adoption. "There is a need to better understand AI's integration and impact at work in order to accelerate innovation and scale its benefits, especially in the context of emerging economies such as India," said Nivruti Rai, Country Head, Intel India and Vice President, Data Platforms Group, Intel Corporation.

Chip giant Intel on Thursday said that Artificial Intelligence (AI) is essential to the future of work in the post-pandemic world, with over 90 per cent respondents in a survey considering AI to be essential or highly relevant to their businesses in India. More than 40 per cent of small and micro revenue firms are using AI for decision support while in medium sized firms, nearly 50 per cent rely entirely on human decision-making as they still do not use AI, revealed the report by Intel India based on two surveys in the country. Conducted by the Srini Raju Centre for Information Technology and the Networked Economy (SRITNE) at Indian School of Business (ISB), the Suitability of Machine Learning (SML) survey had 3,099 employees across 106 Indian occupations, and the'AI and Future of Work' survey had 301 firms across sectors that have adopted AI/machine learning (ML) in their workflows. Over 70 per cent of respondents across various firm categories expect their organisational headcount to increase in response to AI over the next two years while a similar number indicated the growth of all firm-level initiatives to support AI adoption. "There is a need to better understand AI's integration and impact at work in order to accelerate innovation and scale its benefits, especially in the context of emerging economies such as India," said Nivruti Rai, Country Head, Intel India and Vice President, Data Platforms Group, Intel Corporation.