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Plus CES Goes All In On AI. 

2024: Get Ready for the Rise of AI Glasses

AI glasses are set to become the breakthrough gadget of the year, surpassing even Apple’s highly anticipated Vision Pro augmented reality platform. While initially overlooked, Ray-Ban Meta glasses have gained attention for their transformative features and performance. The glasses allow users to interact with AI through spoken and visual commands, offering high-quality camera capabilities, superb audio, and an advanced AI assistant. Tech journalists have praised the glasses for their groundbreaking features, and videos showcasing the glasses’ capabilities have gone viral on social media.

CES 2024 to Showcase AI-Integrated Gadgets as OpenAI’s Influence Dominates

AI is set to dominate CES 2024, even without OpenAI’s Sam Altman attending the show. Various companies are racing to showcase how they are integrating AI into their gadgets, ranging from devices for the visually impaired to safety systems involving guns at schools. OpenAI’s influence on the event, despite Altman’s absence, is comparable to Apple and Steve Jobs, where many firms competed to display gadgets compatible with the company’s sleek products. This year, AI is expected to penetrate every aspect of consumer electronics, with demonstrations of AI-based features in vehicles, PCs, smartphones, and more. While there is widespread excitement about AI, questions remain about whether consumers will pay extra for these capabilities.

Perplexity AI Secures $73.6 Million Funding to Challenge Google and Microsoft

California-based startup Perplexity AI has raised $73.6 million in a recent funding round, bringing its total funding to $100 million. The company aims to revolutionize knowledge discovery with its AI-native search engine, which offers a conversational and precise user experience. Perplexity integrates web indexes with AI models, eliminating the need for users to sift through links, ads, and sponsored posts. The startup plans to utilize the funding to enhance its search engine capabilities and compete with industry giants Google and Microsoft. The Pro version of Perplexity offers customization options for AI models, including the advanced GPT-4. With its emphasis on accuracy and transparency, Perplexity aims to accelerate learning and research processes.

GenAI Takes Over Mundane Marketing: Are Humans Doomed?

According to a study by IDC, GenAI is predicted to take over 30% of monotonous marketing tasks, such as SEO and content optimization, by 2027. The study reveals that 37.8% of Asia/Pacific Chief Marketing Officers have already implemented GenAI, with 51% aiming to enhance their content marketing quality. IDC also predicts that AI will lead to dynamic journey orchestration, bidirectional AI marketing, and conversational marketing becoming mainstream. However, human marketers will still have a role to play by expanding their skill sets to include storytelling, data analytics, and cross-functional collaboration. GenAI is set to revolutionize marketing, but humans can adapt and thrive in this changing landscape.

DeepMind Unveils New AI Advances to Help Robots Make Safer Decisions

DeepMind, the robotics team at Google, has introduced three new advancements in AI to enhance the decision-making capabilities of robots. One innovation is the “Robot Constitution,” a set of safety-focused prompts inspired by Isaac Asimov’s “Three Laws of Robotics.” These prompts guide the LLM to avoid tasks involving humans and potentially hazardous objects. Additionally, DeepMind has implemented a data gathering system, AutoRT, that employs visual and language models for environment understanding and task selection. The robots also come equipped with safety features such as force threshold detection and a human-operated kill switch. DeepMind’s other developments include SARA-RT, designed to improve accuracy and speed, and RT-Trajectory, which enhances physical task performance. 

AI Predictive Model Shows Promise in Identifying Dominant Covid-19 Variants

Researchers from the Massachusetts Institute of Technology and the Hebrew University Hadassah Medical School have developed an AI predictive model that can identify dominant variants of Covid-19. By analyzing 9 million genetic sequences of the SARS-CoV-2 virus, the model looks at factors such as infection rates, spike protein mutations, and time since the variant began circulating. After just one week of surveillance, the model was able to detect 72.8% of variants that would cause at least 1,000 new cases per million people within three months. This method could potentially provide faster and more accurate information on emerging variants compared to current CDC estimates. The research team believes the model’s framework can be adapted for other coronaviruses and the flu.

AI Threatens Future of STEM Jobs, Warns Nobel Prize-Winning Economist

AI is rapidly advancing and could render many STEM careers obsolete, according to Nobel Prize-winning economist Christopher Pissarides. He argues that the skills currently needed to develop and apply AI will eventually make those skills obsolete. Despite the high demand for young students to enter STEM fields, Pissarides warns that AI could eliminate many jobs and disrupt labor markets. While some experts share Pissarides’ concerns, others believe that AI will only replace certain jobs and that STEM professionals are most likely to adapt and learn new relevant skills. It remains uncertain how AI will fully develop, but experts suggest that people should stay familiar with AI technology while encouraging work in STEM fields.

AI Revolutionizes Diabetes-Related Eye Complication Predictions: An Innovative Breakthrough

Local Chinese medics, alongside computer and artificial intelligence experts, have successfully developed an AI-assisted system to accurately predict the risk and progression of diabetic retinopathy. Diabetic retinopathy is a major eye complication resulting from diabetes and is a leading cause of preventable blindness. The new AI-based system effectively forecasts the onset and development of diabetic retinopathy based on eye-ground images. This breakthrough technology enables individualized screening and patient management, ensuring early intervention and prevention.

AI Wars: What to Expect in the Battle for Congressional Approval

As we enter 2024, the U.S. government faces a multitude of challenges in harnessing and regulating AI. The decisions made on Capitol Hill will have far-reaching consequences for the rest of the country. Senate leaders are set to advance AI bills, but disagreements loom over their prioritization and inclusion in broader packages. Copyright concerns have escalated following The New York Times’ lawsuit against OpenAI for the unauthorized use of copyrighted material. Lawmakers must address AI’s potential impact on elections, as deepfakes and misinformation threaten democracy. Additionally, efforts to attract AI talent to the federal government and determine its implementation will be closely watched. 

Unleashing the Absurd: AI Takes on the Challenge of Creating Happy Puppies and Silly Geese

The recent update to ChatGPT has unlocked a new level of creativity as users push the boundaries of AI-generated images. With the ability to bring even the most absurd scenarios to life, artificial intelligence has become a source of joy for many on social media. A new feature in ChatGPT allows users to input prompts for more detailed images, leading to a wave of imaginative and humorous creations. From a goose evolving into sillier forms with each as it receives to other mind-bending visuals, AI-powered imagery has captured the attention of internet users. The development showcases the potential of AI technology in generating visually stunning and entertaining content.

AI in Drug Discovery and Development: Hype vs Reality

AI has gained significant attention in the field of drug discovery and research and development. The market for AI in drug discovery is projected to reach $3.7 billion by 2027. AI-driven startups promise faster and more accurate drug development processes. Recent success stories, such as the AI-generated drug INS018-055 entering Phase 2 trials, have demonstrated the potential of AI in reducing costs and timeframes. However, there are still barriers to the widespread adoption of AI in the biopharmaceutical industry. Technical challenges include the quality of data sets used in AI algorithms and the ethical considerations of biases in training data. Regulatory frameworks and the need for transparency in AI models are also important factors to address. While AI shows promise in transforming drug discovery and development, human oversight and interpretation of AI predictions will remain critical soon.

Hollywood Executives Weigh In on the Future of AI in Entertainment

Hollywood executives are discussing the impact of AI on the entertainment industry. While some are concerned about the potential job losses, others see AI as a tool that can enhance creativity. The executives highlighted that certain behind-the-scenes roles, such as script analysis, could be affected, but they emphasized the importance of protecting human creativity and experience in fields like animation and filmmaking. However, not everyone shares these concerns. Some celebrities, like Howie Mandel and Jack Black, embrace AI and view it as a tool for growth and innovation. The article also mentions the recent strikes in the industry and the regulations put in place to protect writers’ content and actors’ likenesses.

Coughing Diagnosis Goes High-Tech with AI-Powered Apps: Can Your Phone Tell If You’re Sick?

Scientists have developed a smartphone app that can analyze the sound of a cough and identify tuberculosis (TB) in patients. While the technology is not flawless, it proves to be a simpler and more affordable alternative to traditional diagnostic methods. The app has the potential to be a valuable tool for low-income countries, helping to screen for TB and interrupt its transmission. 

AI Regulation in 2024: What’s in Store for the Industry?

The year 2023 marked a turning point for AI regulation, with major developments in the United States, Europe, and China. In the US, President Biden’s executive order on AI set the stage for more transparency and new standards, while the European Union approved the AI Act, the world’s first comprehensive AI law. Meanwhile, China, known for its fragmented approach to AI regulation, is considering a national AI law. Looking ahead to 2024, the US is set to implement policies outlined in the executive order, the EU will enforce new rules governing high-risk AI uses, and China may release a draft of its AI law. Additionally, other regions like Africa are expected to introduce AI strategies. 

The Generative AI vs. the Human Mind: Similarities and Differences Explored

This thought-provoking article delves into the world of generative AI, such as DALL·E and ChatGPT-4, and how they operate by learning patterns and predicting new data. The author, a philosopher and cognitive scientist, discusses the intriguing similarities and stark differences between the ways these AI models function and how natural human minds work. While AI models specialize in predicting specific types of data, human brains have a unique context-driven approach that involves predicting sensory inputs to select appropriate actions for survival and thriving. The article explores the importance of action, experimentation, and personal experience in human cognition and raises questions about the possibility of AI models ever achieving similar capabilities.

AI: A Game-Changer for the Fashion Industry

From generating advertising campaigns to creating product sheets, AI is revolutionizing the fashion and luxury sectors. Brands are utilizing AI to generate personalized visuals and automate various tasks, such as image placement and product information sheets. The potential of AI in the creative process of clothing design is also being explored, with some brands even showcasing collections created by AI. While there are concerns about AI’s impact on the creative freedom and beauty of fashion, experts believe that AI can be a helpful tool rather than a substitute for human creativity. However, the use of AI raises legal and ethical concerns, particularly in terms of counterfeit detection and intellectual property infringement.




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