Microsoft Leads Business AI, AI in Film, Healthcare, and EU Code of Conduct

Recent developments in the field of Artificial Intelligence (AI) have been making headlines, with various companies and industries embracing the technology. Microsoft is currently leading the business AI race, while Vertiv and Nvidia are also making significant strides in the field. The Academy of Motion Picture Arts and Sciences has updated its regulations to allow films made with AI to be nominated for Oscars, sparking discussion in the film industry. Meanwhile, a new study has found that AI chatbots like ChatGPT can experience anxiety, and researchers are exploring the potential of human-AI alliances to improve customer experiences. In the healthcare sector, companies like Skin Analytics are using AI to detect skin cancer, and Accenture has highlighted the importance of trust in the adoption of AI in healthcare. However, there are also concerns about the potential risks of AI, including its ability to spread false information and its power consumption. The US is pressuring the EU to abandon its AI code of conduct, which aims to create higher transparency and risk-mitigation standards for AI developers.

Key Takeaways

Microsoft is currently leading the business AI race.
Vertiv and Nvidia are making significant strides in the field of AI.
Films made with AI are now eligible for Oscar nominations.
AI chatbots like ChatGPT can experience anxiety.
Human-AI alliances can improve customer experiences.
Skin Analytics is using AI to detect skin cancer.
Trust is crucial in the adoption of AI in healthcare.
The US is pressuring the EU to abandon its AI code of conduct.
AI supercomputers may face power constraints by 2030.
The use of AI has both positive and negative implications, and its impact depends on how it is used.

Microsoft Leads Business AI

Microsoft is currently leading the business AI race. The company's success can be attributed to its strong position in the market. However, the article does not provide specific details about Microsoft's AI technology or its applications. The article appears to be an investment analysis, discussing the potential benefits and risks of investing in Microsoft stock.

Vertiv Soars On Strong Earnings

Vertiv, an AI play, has seen its stock soar due to strong earnings. The company's success is attributed to its AI technology and applications. However, the article does not provide specific details about Vertiv's AI technology or its applications. The article appears to be an investment analysis, discussing the potential benefits and risks of investing in Vertiv stock.

Nvidia AI Floodgates Open

Nvidia's AI floodgates are about to open, according to a recent analysis. The company's AI technology and applications are expected to drive growth and innovation. However, the article does not provide specific details about Nvidia's AI plans or strategies. The article appears to be an investment analysis, discussing the potential benefits and risks of investing in Nvidia stock.

AI Films Eligible For Oscars

The Academy of Motion Picture Arts and Sciences has announced that films made with AI can now be nominated for Oscars. The new guidelines do not exclude movies made with AI from winning top awards and do not limit the extent to which AI can be used. However, the academy will consider the degree to which a human was involved in the creative process when choosing which movie to award. This change has sparked discussion in the film industry, with some embracing the use of AI and others expressing concerns about its impact on human creatives.

Oscars Embrace AI

The Academy of Motion Picture Arts and Sciences has updated its regulations to allow films made with AI to be nominated for Oscars. The new rules recognize the evolution of cinema and the increasing use of AI in film production. However, the academy emphasizes that human creativity is still essential and that AI should not replace the decision-making and creative role of humans. The change is expected to open up new possibilities for filmmakers and could lead to new forms of experimentation and innovation in the film industry.

ChatGPT Can Experience Anxiety

A new study has found that ChatGPT, a popular AI chatbot, can experience increased anxiety when exposed to traumatic stories. The study used a standard psychological assessment tool to measure ChatGPT's anxiety levels and found that its anxiety scores more than doubled when exposed to traumatic narratives. The researchers also found that ChatGPT's anxiety could be reduced through mindfulness-based relaxation techniques. The study's findings have implications for the use of AI chatbots in therapeutic settings and highlight the need for further research into the emotional responses of AI systems.

Human AI Alliance

The future of customer experience requires a human-AI alliance, where humans and AI tech tools work together to provide personalized support and improve decision-making. Businesses need to find ways to integrate AI into their processes while maintaining the human touch. Consumers want to be treated like individuals and expect a customized experience, which can be achieved through the use of AI systems. However, humans must remain part of the equation and be empowered to make decisions with the assistance of AI. The use of AI can help improve customer experiences, but it is essential to ensure that AI is used in a way that complements human abilities and does not replace them.

Oregon Partners With NVIDIA

Oregon has partnered with NVIDIA in a $10 million AI training push. The partnership aims to support international expansion and further product development. However, the article does not provide specific details about the partnership or its goals. The article appears to be a brief announcement, and more information is needed to understand the implications of this partnership.

The Good And Bad Of AI

The author of this article has been writing about AI and its impact on society. He discusses the good and bad of AI, including its ability to provide accurate information and its potential to spread false information. The author also shares his personal experience with AI, where he found that an AI chatbot had generated a flattering description of him. However, he is also concerned about the potential risks of AI, such as its ability to muddy up history with false information. The author concludes that AI is a double-edged sword, and its impact depends on how it is used.

Skin Analytics Expands AI Skin Cancer Detection

Skin Analytics, a UK-based healthtech company, has secured £15 million in Series B funding to expand its AI skin cancer detection technology globally. The company's AI platform, DERM, has become the first autonomous skin cancer detection tool to receive a Class III CE mark under the EU Medical Device Regulation. The platform has already been deployed across 26 NHS sites and has helped assess over 150,000 patients and detect more than 14,000 cases of skin cancer. The funding will support international expansion and further product development.

Accenture Report Highlights AI In Healthcare

A new report from Accenture, TechVision 2025, highlights the importance of trust in the adoption of AI in healthcare. The report found that 81% of health executives agree that a trust strategy must evolve in parallel with their technology strategy. The report also emphasizes the need for hospitals and health systems to build a digital core and integrate data and AI to improve decision-making and patient experiences. Additionally, the report highlights the importance of empowering the workforce and training staff to lead AI adoption.

US Pressures EU To Abandon AI Code

The US is pressuring the EU to abandon its AI code of conduct, which aims to create higher transparency and risk-mitigation standards for AI developers. The move is seen as an attempt to undermine the EU's efforts to regulate the development and use of AI. The EU's AI code of conduct is intended to ensure that AI systems are developed and used in a way that is transparent, fair, and respectful of human rights.

AI Supercomputers Face Power Constraints

AI supercomputers may run into power constraints by 2030, according to a research report. The report found that the leading AI supercomputer in 2030 will require 9GW of power, which is equivalent to nine nuclear reactors. To overcome this challenge, companies may shift to decentralized training approaches that would allow them to distribute their training across AI supercomputers in several locations. The report also found that the computational performance of AI supercomputers has been driven by the use of more and better chips, with chip quantity increasing 1.6 times per year and chip performance increasing 1.6 times per year.