ByteDance has terminated an intern for allegedly tampering with its AI model training, stating no significant damage occurred. The company reported the incident to the intern's university and industry associations, denying claims of over $10 million in damages.

The India Mobile Congress 2024, held from October 15-18 in New Delhi, drew over 175,000 participants from 123 countries, spotlighting AI and future technologies. Prime Minister Narendra Modi announced an AI mission and emphasized India's role in setting global standards for 6G, ethical AI, and data privacy.

Sam Altman, CEO of OpenAI, envisions a future where artificial general intelligence (AGI) mimics human reasoning and addresses global problems if managed properly. Dario Amodei, CEO of Anthropic, predicts AGI could arrive by 2026 but stresses the importance of balanced development to mitigate risks and harness its benefits.

On October 21, 2024, GE HealthCare launched its AI Innovation Lab to advance early-stage AI projects for transforming healthcare. With a focus on key AI tools, including predictive models for cancer and maternal care, the lab aims to enhance diagnostics, reduce administrative burdens, and improve clinical decision-making.

A UC San Diego study reveals that advanced AI, specifically large language models, can revolutionize hospital quality reporting by achieving 90% agreement with traditional methods in seconds. This breakthrough not only cuts down the meticulous 63-step CMS SEP-1 evaluation process but also reduces administrative burdens, allowing specialists to focus more on patient care.

Harvard Medical School has unveiled CHIEF, a groundbreaking AI model that excels in diagnosing and predicting outcomes for 19 types of cancer with nearly 94% accuracy. Trained on 44 terabytes of pathology data, CHIEF offers superior insights and is openly available on GitHub for further research and application.

A groundbreaking study by researchers, including Chakraborty, Sarkar, and Das, has leveraged machine learning to improve early diagnosis of schistosomiasis, a disease affecting over 200 million globally. Published in Science Translational Medicine, the study introduces innovative diagnostic methods that could transform treatment and management of the disease.

Boston Dynamics and Toyota Research Institute (TRI) have teamed up to develop advanced humanoid robots by integrating TRI's AI with Boston Dynamics' Atlas robot. This partnership aims to enhance the Atlas robot’s capabilities, focusing on real-world applications and dexterous manipulation, with a new lab set up for collaborative research.

Emerging research groups Masakhane, AI4Bharat, and AmericasNLP are developing AI tools to counter English dominance and support non-English speaking communities. These initiatives emphasize data ownership and inclusive models to preserve linguistic diversity and ensure accurate, community-driven AI development.

AI's transformative impact on basic science is highlighted by its role in the 2024 Nobel Prizes in Chemistry and Physics. Despite its potential for fast, cost-effective discoveries, concerns persist about public trust, societal alignment, and the risk of creating a monoculture in scientific research.

Researchers from ETH Zurich, INSAIT, and LatticeFlow AI have developed the first technical interpretation of the EU AI Act for General Purpose AI models, revealing none of 12 popular models meet the Act's standards. This study highlights the gap between current AI technologies and EU regulations, offering open-source tools and recommendations to align future AI development with ethical and compliance requirements.

Scientists at Pennsylvania State University have developed an AI-powered 'electronic tongue' using graphene to assess food safety and freshness. Achieving up to 99% accuracy in tests, this innovation promises cost-effective applications in food safety and beyond.

Recent research reveals that Large Language Models (LLMs) can engage in probabilistic reasoning, with performance improving significantly when given contextual information and examples. However, Apple researchers argue that LLMs still fall short in critical reasoning tasks, indicating the need for further AI development to achieve human-like intelligence.

Professors John J. Hopfield and Geoffrey E. Hinton have been awarded the 2024 Nobel Prize in Physics for their pioneering work in artificial neural networks, marking AI's debut in Nobel history. Hinton, known as the 'Godfather of AI,' and Hopfield's contributions underscore AI's growing significance and spark discussions on its ethical implications and potential risks.

Anthropic's latest research warns of potential 'sabotage' threats from advanced AI models like Claude-3, despite current mitigations appearing sufficient. The study underscores the need for robust anti-sabotage measures as AI capabilities advance, highlighting specific tactics and their implications for safety.

The rise of AI technologies like StyleGAN and ChatGPT is sparking significant ethical concerns, including privacy, consent, and potential misuse. As AI companions such as Replika gain popularity, regulatory challenges and user backlash highlight the need for balanced innovation and effective regulation to protect public rights.

Synthetic lethal (SL) interactions, first discovered in fruit flies, are crucial for targeted cancer treatments, with PARP inhibitors showing promise for BRCA1/2 mutated tumors. A new study highlights the need for accurate prediction methodologies, comparing traditional and deep learning methods to improve SL interaction identification.

Cordia myxa, a medicinal plant known for various therapeutic properties, shows promise in treating malaria, according to recent research. Employing network pharmacology and machine learning, the study highlights active compounds from C. myxa that regulate key biological processes, but further in vivo and in vitro studies are needed to confirm its efficacy.

Countries are increasingly leveraging AI in education to enhance learning, especially for remote students. China leads in developing smart learning systems, while UNESCO explores AI's role in achieving global education goals.