This article explores the need for equitable advancements in genomics, addressing racism, inclusivity, ethical data practices, and indigenous rights. It reviews recommendations from The Hastings Center to incorporate social justice into genomics.

Researchers have unveiled a sustainable and biodegradable line of electronic textiles, promising to revolutionize wearable technology while addressing environmental concerns. Dubbed 'SWEET', these textiles combine functionality with eco-friendly materials, paving the way for a new era in wearable tech.

Researchers at Cornell University have developed an innovative process that transforms electronic waste into gold and converts carbon dioxide into valuable organic compounds. This sustainable breakthrough addresses both e-waste challenges and greenhouse gas emissions, providing a significant environmental benefit.

Researchers at Seoul National University have designed a sophisticated robotic gripper that mimics human hand dexterity, enabling it to handle multiple objects at once. This breakthrough could transform efficiencies in logistics and home settings, signaling significant strides in robotics technology.

MIT Technology Review unveils its annual list of breakthrough technologies for 2025, highlighting transformative advances across artificial intelligence, biotechnology, and sustainability. These innovations promise to reshape industries and prompt new discussions about technological progress.

A recent study uncovers a surprising suppression in cosmic structure growth, putting the ΛCDM model under scrutiny and suggesting potential new physics. Researchers report a 4.5σ tension, indicating possible unknown forces or errors influencing cosmic evolution. The findings call for further research and data to comprehend these cosmic anomalies.

The article explores the growing trend towards smaller, more efficient language models in AI development. Highlighting both the advantages and the tech giants leading this shift, the piece emphasizes the benefits such models offer in terms of cost, energy efficiency, and privacy, suggesting that they represent a new paradigm in intelligent technology.

This article examines AI's role in medical conversations, drawing from a Harvard and Stanford study that introduces CRAFT-MD, a new framework for evaluating AI in realistic clinical scenarios. The study finds AI effective in structured tasks but struggling with nuanced patient interactions, highlighting the need for improved testing environments and conversational sophistication.

This article explores the emerging "Intention Economy," where AI is used to predict and monetize human desires and intentions. It discusses the implications of this trend on privacy and democracy, calling for regulatory measures to safeguard ethical standards.

Deep learning algorithms in AI are transforming medical image analysis, particularly in oncology diagnostics, by improving precision and efficiency. The AutoPET competition highlights these advancements, showcasing AI's potential to streamline processes and enhance accuracy.