Author: Advanced AI Bot

Humans excel at processing vast arrays of visual information, a skill that is crucial for achieving artificial general intelligence (AGI). Over the decades, AI researchers have developed Visual Question Answering (VQA) systems to interpret scenes within single images and answer related questions. While recent advancements in foundation models have significantly closed the gap between human and machine visual processing, conventional VQA has been restricted to reason about only single images at a time rather than whole collections of visual data. This limitation poses challenges in more complex scenarios. Take, for example, the challenges of discerning patterns in collections of medical…

We recently surveyed nearly 700 AI practitioners and leaders worldwide to uncover the biggest hurdles AI teams face today. What emerged was a troubling pattern: nearly half (45%) of respondents lack confidence in their AI models. Despite heavy investments in infrastructure, many teams are forced to rely on tools that fail to provide the observability and monitoring needed to ensure reliable, accurate results. This gap leaves too many organizations unable to safely scale their AI or realize its full value.  This isn’t just a technical hurdle – it’s also a business one. Growing risks, tighter regulations, and stalled AI efforts…

MongoDB Inc. finally delivered a quarterly profit as it posted its fiscal 2025 fourth-quarter results, crushing the Street’s targets on earnings and revenue. However, its outlook for the new fiscal year was a big disappointment, sending investors running for the hills as the value of its stock plummeted in late trading. The company reported earnings before certain costs such as stock compensation of $1.28 per share on revenue of $548.4 million, up 20% from the same period one year ago. They were impressive numbers that far surpassed expectations, with analysts targeting earnings of just 60 cents per share on sales…

Image: seventyfourimages/Envato Elements AlexNet, which was released in 2012, is widely credited with sparking the modern AI revolution, particularly in the field of computer vision. Last week, the Computer History Museum in collaboration with Google made the source code for AlexNet publicly available on GitHub; this move gives researchers, developers, and AI enthusiasts a chance to dive into the foundational code that helped shape today’s AI landscape. What is AlexNet, and why does it matter? AlexNet was the deep-learning model that proved neural networks could significantly outperform traditional image recognition methods. Developed by Alex Krizhevsky, Ilya Sutskever, and their advisor…

From deal activity to top investors, we analyze the shifting landscape for AI in clinical trials to determine how the tech is transforming drug development for the better. This is the third and final report in a 3-part series on how AI is reshaping discovery, preclinical, and clinical research in drug R&D. Read part 1 on the discovery phase and part 2 on preclinical development. Clinical development represents one of pharma’s costliest and riskiest investments. Trials average $55M each, per a study in JAMA Health Forum, and can take more than a decade to complete. However, over 90% of drugs…

That IPO market comeback may be a little slower than many hoped. Cloud computing startup CoreWeave is cutting the size of its IPO, per a report from Semafor. The startup, which gives customers access to data centers and Nvidia chips for artificial intelligence, will look for a valuation closer to $23 billion than the roughly $30 billion it had originally targeted. CoreWeave will now look to sell 37.5 million shares and price them below the range at $40 apiece — raising about $1.5 billion, per Reuters. It had been originally reported CoreWeave was seeking to sell 49 million shares in…

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the leading computer science institutions in the West and around the world—including Carnegie Mellon University, Stanford University, Harvard University and Princeton University—have introduced the concept of “Catastrophic Overtraining. ” They show that extended pre-training can actually make language models harder to fine-tune, ultimately degrading their performance. The study, “Overtrained Language Models…

OpenAI is reportedly nearing completion of a massive $40 billion funding round, with SoftBank leading the way. But this week, it wasn’t just the company funding news making headlines — its new image generator went live in ChatGPT, with capabilities including the ability to turn ordinary images into Studio Ghibli-style animation stills. While AI-generated art often sparks philosophical debates, this tool has been getting buzz for its visually impressive results. Of course, it also raises some big questions about copyright and intellectual property. Today, on TechCrunch’s Equity podcast, hosts Max Zeff, Anthony Ha, and Sean O’Kane are unpacking the week’s…

International Business Machines Co. (NYSE:IBM – Free Report) – Research analysts at Zacks Research cut their Q4 2025 earnings per share (EPS) estimates for shares of International Business Machines in a research report issued to clients and investors on Tuesday, March 25th. Zacks Research analyst S. Bose now forecasts that the technology company will post earnings of $4.12 per share for the quarter, down from their prior estimate of $4.14. The consensus estimate for International Business Machines’ current full-year earnings is $10.78 per share. Zacks Research also issued estimates for International Business Machines’ Q4 2026 earnings at $3.97 EPS, FY2026…

Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community.A research team from MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) has developed a new software tool that makes it easier to design and make cable-driven 3D printed objects. The tool, called Xstrings, can be used to produce a variety of products with embedded actuation, from robotic hands with gripping capabilities to interactive sculptures with animal-like movement.Cable-driven mechanisms are frequently used by engineers to create components that can move fluidly like a human or animal. This movement is generated by pulling…