Plus AI Makes Beer and Detects Cancer Early.
The No AI FRAUD Act, a new bill proposed in the United States, is facing criticism for its potential impact on free speech and artistic expression. The bill aims to protect individuals’ likeness and voice from unauthorized use but goes beyond AI-generated fakes, targeting a wide range of digital depictions. Critics argue that the bill’s broad definitions could restrict content such as parody videos, comedic impressions, political cartoons, and historical reenactments. While the sponsors claim to balance personal rights with First Amendment protections, experts warn that the bill’s provisions could result in a chilling effect on certain forms of comedy, commentary, and artistic expression.
Nethergate Brewery and Distillery in Suffolk, England, is revolutionizing the beer-making process with their creation, “AiPA” or the Artificial Intelligence IPA. The recipe for AiPA is a combination of innovative ideas from the brewers and suggestions from the data-driven AI. Described as a seasonal pale ale with a golden hue, the beer features citrus and floral notes from a blend of hops. Nethergate Brewery sees this innovative approach as a step forward in the beer-making industry, and they have also used AI in advertising and equipment creation for AiPA.
Researchers from MIT have developed an AI-based risk prediction system that could help detect pancreatic cancer at an earlier stage. Pancreatic cancer is difficult to detect, often presenting symptoms only when it has already spread to other parts of the body. To address this problem, the team of researchers developed a system called PRISM that uses AI models to predict a patient’s likelihood of developing pancreatic ductal adenocarcinoma (PDAC), the most common form of cancer. The models analyze data from electronic health records, including age, medical history, and lab results, to generate a risk score for each patient. In tests, the neural network model identified 35 percent of people who developed pancreatic cancer as high risk within six to 18 months before their diagnosis.
The FDA has given its approval to the first medical device powered by AI that can help doctors detect skin cancer. Developed by medical device maker DermaSensor, the handheld device is used to evaluate further suspicious lesions that doctors have already identified. It uses AI-powered spectroscopy technology to assess the cellular and below-the-skin’s-surface characteristics of lesions in real time. The device provides a “spectral similarity score” based on an AI algorithm trained on data from over 4,000 malignant and benign lesions.
Samsung has unveiled its latest flagship phone, the Galaxy S24 series, which boasts a range of innovative AI features. The standout feature of the series is the ability to translate phone calls in real time, making communication across languages much easier. Additionally, the phones offer AI-powered tools such as Chat Assist, Live Translate, Circle to Search, Note Assist, Generative Edit, and Transcript Assist. These features leverage generative AI technology and large language models to provide users with improved functionality.
The business zeitgeist at the start of 2024 is marked by risks and uncertainties, including geopolitical tensions, extreme weather, and economic challenges. However, at the annual Davos conference, there is a surprising optimism among business leaders about our ability to manage these risks and harness technology for growth. CEOs and industry experts are focused on various risks, such as geopolitical, technology, economic, social, and labor market risks, and are aware of the wide range of potential outcomes. Despite the complexities of the world, there is a sense of acceptance and determination to confront and navigate these issues. Additionally, there is a growing investment in technology, with optimism surrounding the transformative potential of AI. Discussions at the conference indicate that while there are concerns, the optimists outnumber the pessimists.
Cambridge researchers, in collaboration with Pfizer, have created an AI-driven platform called the ‘Reactome’ that revolutionizes drug design. By combining machine learning with automated experiments, the platform accurately predicts chemical reactions, streamlining the pharmaceutical development process. By training the model on a dataset of over 39,000 pharmaceutically relevant reactions, the team achieved impressive results. The approach also enables chemists to introduce precise transformations to molecules, speeding up drug design.
AILeaders from around the world gathered at the World Economic Forum in Davos to discuss the future of generative AI and its potential impact on employment. OpenAI’s CEO Sam Altman believes that while AI is a powerful tool for enhancing productivity, it is not currently replacing jobs. However, a survey by PwC found that 45 percent of CEOs think their business models may not survive within the next decade due to the rise of AI. About 60 percent of respondents also expect generative AI to make their companies more efficient. While some experts predict that jobs may change or disappear as a result of AI integration, others, like Bill Gates, believe that it will make workers more efficient and lead to a shorter workweek. The discussions at Davos focused on the benefits and risks of AI, with concerns raised about the potential impact on human rights, privacy, and social well-being.
Microsoft has used AI and cloud computing to identify 18 potential new battery materials for the Department of Energy (DoE) in a fraction of the time it would normally take. As batteries are crucial for clean energy, including powering electric vehicles and storing solar and wind energy, finding new materials is essential. Currently, lithium-ion batteries are the best option, but they have limitations. Lithium is scarce and expensive, often mined unethically using child labor and harmful methods. By using AI models and cloud computing, Microsoft was able to simulate potential chemical combinations for batteries from 32.6 million materials. Within 80 hours, it had identified 18 promising candidates. PNNL scientists have already synthesized one material for testing that could reduce lithium usage by 70%. Microsoft’s technology is expected to have applications beyond battery materials.
According to a survey conducted by Wattpad and Wakefield Research, 92% of people prefer human involvement in the creative process of writing and producing books. The study also found that 43% of authors are concerned about the potential limitations and opportunities of AI-generated content. While generative AI can write, create artwork, and make videos with minimal human input, the survey suggests that creativity is a uniquely human exercise and cannot be easily replicated by AI. Despite fears about AI taking over jobs, Deloitte Chief Futurist Mike Bechtel believes that AI is a tool that can take human innovation to the next level, rather than a threat to employment.
AI is helping companies improve the customer experience by providing valuable data and behavioral cues. Researchers at Stanford University and the Massachusetts Institute of Technology found that an AI-based conversational assistant tool raised agent productivity by 14% and improved customer interactions. Medallia is one company using AI to drive customer experience management by capturing data from various touchpoints and producing predictive insights. AI has been used to reduce churn, create cross-sell and up-sell opportunities, and improve personalized recommendations. The rise of generative AI search capabilities, such as Walmart’s announcement, supports the idea that AI will continue to expand and improve customer experiences.