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Windows 11’s Copilot app confirms GPT-5, Microsoft 365 Copilot, Azure prepares for GPT-5

GPT-5 could begin rolling out in the next few days, if everything goes to plan. There are enough evidences to confirm that Microsoft is preparing Copilot (its consumer-facing AI assistant), Microsoft 365 (primarily tailored for businesses and work), and Azure (enterprises/API customers) for GPT-5.

GPT-5, also referred to as GPT-5 alpha in early leaked benchmarks, is OpenAI’s next SOTA (State of the Art) model, and it has the potential to disrupt the AI industry again.

One source describes GPT-5 as phenomenal in coding, and it doesn’t look like it will be rolled out to just paid consumers, as even those without a subscription will be able to access it.

Revolutionizing 2D Electronics: Freestanding HZO Membranes Unlock High-κ Integration for Next-Gen Transistors

In a significant advancement for nanoelectronics, an international team of researchers from National Chung Hsing University, Kansai University, and National Cheng Kung University has developed a new strategy to integrate freestanding hafnium zirconium oxide (HZO) membranes into 2D field-effect transistors (FETs). This innovation, published in Nature Electronics, promises to overcome one of the main bottlenecks in the adoption of 2D semiconductors: the lack of scalable, high-κ dielectric integration.

Why 2D Semiconductors Need Better Gate Dielectrics

Two-dimensional semiconductors like molybdenum disulfide (MoS₂) have long been heralded as successors to silicon, offering exceptional electrical properties at atomically thin dimensions. However, their commercialization in logic devices has stalled due to a critical integration challenge: embedding a gate dielectric that both insulates and enables effective gate control.

Melanoma ‘cellular compass’ discovery could help curb metastasis

Researchers have discovered a protein which is critical for steering melanoma cancer cells as they spread throughout the body. The malignant cells become dependent on this protein to migrate, pointing to new strategies for impeding metastasis.

The protein eIF2A is generally thought to spring into action when a cell is under stress, helping ribosomes launch protein synthesis. But according to a study published in the journal Science Advances, eIF2A has a completely different role in melanoma, helping control movement.

“Malignant cells that metastasize need to make their way through tissues in order to invade proximal or distant organs. Targeting eIF2A could be a new strategy to impede melanoma breaking free and seeding tumors elsewhere,” says Dr. Fátima Gebauer, corresponding author of the study and researcher at the Center for Genomic Regulation (CRG) in Barcelona.

The 0.05% RNA Process That Makes Cancer Self-Destruct

A group of Australian scientists has uncovered a new way to fight some of the toughest cancers by targeting an overlooked cellular process called minor splicing. This tiny but vital mechanism turns out to be essential for the growth of certain tumors, especially those driven by KRAS mutations — a common but hard-to-treat culprit in cancer. By blocking minor splicing, researchers triggered DNA damage and activated the body’s own cancer-defense system, killing cancer cells while sparing healthy ones. The results in animal and human cell models are so promising that drug development is now underway, potentially paving the way for more effective and less toxic treatments across multiple cancer types.

Amazon backs Skild AI and its revolutionary artificial intelligence model for robots capable of learning multiple tasks

Skild AI just took the wraps off Skild Brain, a “general-purpose” model meant to run on many robot bodies —not just one factory arm or one warehouse cart. The demos weren’t sci-fi eye candy; they were the unglamorous moves that make or break real deployments: climbing stairs, recovering balance after a shove, picking from clutter. The bet is simple and bold: if you train a single model across lots of tasks and lots of robots, then every new job makes the whole system better.

To understand Skild AI’s approach, think of three streams of experience flowing into one brain.

First, millions of simulated episodes where robots practice safely at super-speed. Second, human-action videos that teach the model what skilled manipulation looks like. Third, real-world logs from customer robots running Skild AI software—those streams are fed back to refine the model so the next update is smarter on day one.