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Why it matters: Cut your LLM bill without gutting quality: quantization, batching, routing and distillation that slash inference costs by 50 to 90 percent.

Why it matters: Most enterprise AI pilots never reach production. Here is why they stall and the data, governance and change moves that let the rare ones scale.

Why it matters: DeepSeek V4 pricing and capabilities explained: tier costs, benchmarks, real production spend, and the privacy risks every buyer should weigh in 2026.

Why it matters: Learn how to measure AI agent performance in 2026 with metrics, traces, and a step-by-step pipeline that catches failures before users do.

Why it matters: Agent 365 gives every AI agent an identity, a registry, and real oversight. See pricing, security architecture, rollout steps, and the gaps it leaves open.

Why it matters: Opus 4.7 wins coding, GPT-5.5 wins agents and math. See the benchmark splits, hidden token costs, and the routing strategy smart teams use in 2026.

On April 30, the MIT Schwarzman College of Computing’s Social and Ethical Responsibilities of Computing (SERC) initiative hosted a full-day research symposium examining how artificial intelligence is shaping the world and its implications for society.  The symposium included research talks by SERC’s latest seed grant recipients on topics such as air pollution forecasting and responsible computer vision deployment, panels on AI…

MIT, in collaboration with Georgia State University and a growing network of educational institutions, has announced expanded work under PATH (Pathways for AI Training and Hiring) — a multiyear initiative designed to scale effective, affordable, industry-aligned AI training for entry-level and current workers, with a particular focus on transforming community colleges into engines powering an…

The MIT-led Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) has received renewed support from the National Science Foundation (NSF) for an additional five years, increasing annual funding from $4 million to $4.98 million. The renewal marks a new phase for IAIFI, which has spent its first five years building a research model and an…

In 2026, the hype for artificial intelligence agents is louder than ever before. These semi-autonomous programs can “think” and execute well-defined tasks in areas like customer service and software development, typically using language models (LMs). But fields like medical diagnosis and scientific discovery require them to inquire about a vast range of solutions in uncertain…