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July 5, 2023
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6 mins
Hello Niuralogists!
With the AI landscape witnessing numerous noteworthy events, this week's edition presents you with the most recent developments. Our primary focus remains on exploring their implications for companies, businesses, policies, and individuals within the workplace. In this week's edition, we will dive into exciting updates, including Microsoft's introduction of novel shopping tools, the groundbreaking advancements by companies like Inflection and Sama, the integration of AI in the Tour de France, and the already visible impact of AI in Asia.
In the past week, Microsoft has introduced new shopping tools powered by AI on Bing and Edge. The tools are specifically powered by Microsoft’s proprietary AI and will provide users with personalized shopping recommendations based on research done on whatever category the user wants to shop in. These new features will also include summarized reviews for a product, a price comparison tool, and a centralized package tracking interface. These new AI tools are designed to make online shopping more convenient and personalized.
In a significant development, Inflection AI, a startup led by Mustafa Suleyman, has successfully raised a staggering $1.3 billion in an investment led by Nvidia, Microsoft, and influential tech billionaires. This comes 2 months after its launch for its innovative chatbot, Pi. Pi is designed to revolutionize conversations one can have with an AI. It engages users in a back-and-forth dialogue to generate more valuable questions and answers. This funding round deepened Inflection’s ties with Microsoft and Nvidia, two key partners in the AI race. Microsoft is Inflection’s cloud computing partner, while Nvidia has been working closely with inflection by providing it with the necessary GPUs necessary to significantly enhance the capabilities of Pi.
Microsoft and Tiktok owner ByteDance have developed a “Self-Controlled Memory system” (SCM), enabling generative AI to recall and reference past interactions instead of only one contained conversation or text. This advancement enhances the AI’s ability to generate more logical and accurate responses, even outperforming ChatGPT in tasks involving extensive dialogue history. The SCM also excels in summarizing long texts by iteratively summarizing the text and storing each summary in the memory system. This allows the AI system to create the next summaries in combination with the previous ones which would provide an overall clearer summary of the text. The SCM also allows large language models (LLM) that aren’t chatbots to behave like chatbots by achieving multi-turn dialogue. This development marks a significant stride in the evolution of large language models.
The Tour de France is enhancing its viewing experience by incorporating ChatGPT and digital twin technology. NTT, the IT and services company partnering with the Tour de France, is creating a digital twin of the race that will use real-time data to digitally replicate all aspects of the race. Additionally, ChatGPT will be integrated into NTT's AI-driven Digital Human solution to provide detailed, relevant race information to fans.
Governments all across Asia are leveraging generative AI to improve service delivery to its citizens. This technology is being used to support public workers in administrative tasks and transform the experience in areas such as health and education. In Singapore, the Government Technology Agency is utilizing generative AI to handle routine tasks, freeing up public workers for more strategic roles. In India, a chatbot named Jugalbandi is helping villagers in Biwan access government services in their local dialects. In Taiwan, the Ministry of Education has introduced a CoolE Bot, a chatbot that enables K-12 students to practice English.
Sama, a leader in data annotation solutions, has launched Platform 2.0, a re-engineered computer vision platform designed to reduce the risk of machine learning algorithm failures. The platform offers greater transparency for clients, allows Sama to deliver annotated data and insights three times faster, and has achieved a 99% client acceptance rate for AI training data. The platform is designed to ensure that AI models are trained on high-quality data, reducing concerns of drift and bias.
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The National Health Service (NHS) in the UK has received a £21 million fund to enhance healthcare efficiency through the use of advanced AI technology. The fund, known as the AI Diagnostic Fund, will allow NHS Trusts to apply for funding to expedite the deployment of AI imaging and decision support tools. These tools will be particularly useful for diagnosing conditions such as cancers, strokes, and heart conditions. In addition, AI can help reduce waiting times for treatment, which is crucial given the millions of people currently on the NHS waiting list. The government has already seen benefits from investing in AI technologies, including improved stroke diagnosis, screening, cardiovascular monitoring, and home-based condition management. AI holds promise for transforming healthcare by making it more efficient and effective.
In the realm of investment, AI techniques are increasingly being used to identify signals and capture underlying relationships in large datasets, aiding in asset allocation and stock selection. While not perfected yet, these models can evolve into computer-programmed algorithms which are capable of identifying and executing trades without human intervention. This is because AI can quickly analyze vast amounts of data, such as social media sentiment, news articles, and financial statements, to make predictions about a company's future performance. This can assist investors in making more informed decisions, reducing risk, and optimizing their investment portfolios. With the further development of AI, investors may be able to use this technology in the future to focus on essential tasks such as monitoring the market, while AI handles data analysis, prediction, risk assessment, and portfolio optimization.
Companies like Typeface are using generative AI systems to create promotional content tailored to specific brands. By feeding brand-specific data into AI models, these platforms can generate personalized images or text, such as product photos, blog posts, Google ads, and LinkedIn job posts. Furthermore, features like Typeface's Image Studio allow users to create or edit product photos using textual prompts, eliminating the need for professional photoshoots or studios. AI can also convert existing video content into written content like emails or blog posts. AI is not only streamlining and enhancing content creation but also transforming the way we consume media by providing more personalized and diverse content. However, this raises the question about plagiarism and originality as we move forward.
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