Make sense of what AI is becoming.

AnneMarie Borg’s 2026 JAIR survey examines how formal argument systems evolve over time, highlighting benefits and scaling challenges.

Large AI models now require millions more parameters than five years ago, driving up cloud expenses and raising environmental concerns.

A new algorithm splits large multi‑agent path problems into subproblems, boosting speed while guaranteeing solvability.

South Korean chipmaker SK Hynix raised $26.5 billion in a historic Nasdaq debut, highlighting demand for high‑bandwidth memory powering Nvidia’s AI accelerators.

A recent study shows 77 percent of companies are using or evaluating AI for marketing, while 83 percent plan to expand its use.

Demis Hassabis outlined how current large‑language models rely on external tools but lack persistent memory, indicating another breakthrough is still required before reaching true AGI.

Big‑tech AI data centers consume substantial electricity and water, prompting a shift toward more sustainable designs.

Meta announced it has expanded its Hyperion data‑center campus in Louisiana to more than 3,600 acres, reflecting growing AI infrastructure needs.

Researchers introduce a collaborative diffusion model that offloads expensive computations to servers, allowing low-resource clients to synthesize high-quality images.

A new split‑learning approach reduces inference time per client in diffusion models by ~35%.

Microsoft’s Bing places related search suggestions just below the search bar, aiming to surface alternate queries earlier and influence organic and paid traffic.

Google Cloud’s new platform lets AI automatically generate detection rules, boosting real‑time security in warehouses.