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 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…
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 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…
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…
Telemedicine platforms have improved healthcare delivery by enabling remote medical consultations, mental health support, and ongoing patient care through digital technologies. As healthcare needs evolve and patients seek more convenient ways to connect with providers, especially with AI healthcare, these platforms have become essential tools for modern medical practice. From comprehensive enterprise solutions used by…
The headlines keep coming. DeepSeek’s models have been challenging benchmarks, setting new standards, and making a lot of noise. But something interesting just happened in the AI research scene that is also worth your attention. Allen AI quietly released their new Tülu 3 family of models, and their 405B parameter version is not just competing…
Large language models (LLMs) have evolved significantly. What started as simple text generation and translation tools are now being used in research, decision-making, and complex problem-solving. A key factor in this shift is the growing ability of LLMs to think more systematically by breaking down problems, evaluating multiple possibilities, and refining their responses dynamically. Rather…