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According to Gartner, 30% of GenAI projects will likely be abandoned after proof-of-concept by the end of 2025. Early adoption of GenAI revealed that most enterprises’ data infrastructure and governance practices weren’t ready for effective AI deployment. The first wave of GenAI productization faced considerable hurdles, with many organizations struggling to move beyond proof-of-concept stages…
Most AI training follows a simple principle: match your training conditions to the real world. But new research from MIT is challenging this fundamental assumption in AI development. Their finding? AI systems often perform better in unpredictable situations when they are trained in clean, simple environments – not in the complex conditions they will face…
Senior Audrey Lorvo is researching AI safety, which seeks to ensure increasingly intelligent AI models are reliable and can benefit humanity. The growing field focuses on technical challenges like robustness and AI alignment with human values, as well as societal concerns like transparency and accountability. Practitioners are also concerned with the potential existential risks associated with…
The headlines tell one story: OpenAI, Meta, Google, and Anthropic are in an arms race to build the most powerful AI models. Every new release—from DeepSeek’s open-source model to the latest GPT update—is treated like AI’s next great leap into its destiny. The implication is clear: AI’s future belongs to whoever builds the best model….
From crafting complex code to revolutionizing the hiring process, generative artificial intelligence is reshaping industries faster than ever before — pushing the boundaries of creativity, productivity, and collaboration across countless domains. Enter the MIT Generative AI Impact Consortium, a collaboration between industry leaders and MIT’s top minds. As MIT President Sally Kornbluth highlighted last year, the…
The hype surrounding AI remains prevalent in healthcare but is particularly strong in radiology. If you remember the early days of computer-aided design (CAD), it’s quite impressive how far the technology has come. A native of ChatGPT would perhaps contend that much work needs to be done before AI can reach its full potential in…
If 2024 was the year of significant advancements in general AI, 2025 is shaping up to be the year of specialized AI systems. Known as vertical AI agents, these purpose-built solutions combine advanced AI capabilities with deep domain expertise to tackle industry-specific challenges. McKinsey estimates that over 70% of AI’s total value potential will come…
The US Copyright Office just released their most significant guidance yet on AI and copyright. This report cuts through the confusion about who owns what when it comes to AI-created content. The law still centers on human creativity. The Copyright Office makes this crystal clear – copyright protection stems from human creative input, not from…
Loris Degioanni is the Chief Technology Officer and Founder of Sysdig. He is also the creator of the popular open source troubleshooting tool, sysdig, and the open source container security tool Falco. Prior to founding Sysdig, Loris co-created Wireshark, the open source network analyzer, which today has 20+ million users. Sysdig is dedicated to ensuring…
The neural network artificial intelligence models used in applications like medical image processing and speech recognition perform operations on hugely complex data structures that require an enormous amount of computation to process. This is one reason deep-learning models consume so much energy. To improve the efficiency of AI models, MIT researchers created an automated system…