Author: Carter

The Fool’s TakeCloud computing leaders are among the largest and most successful companies in the world. Competing with them is challenging, especially for smaller players. However, Veeva Systems’ clever strategy is helping it succeed. Rather than go toe-to-toe with giants like Amazon, Veeva built cloud services to serve the demands of one industry: life sciences.Drugmakers and medical device manufacturers must adhere to strict guidelines — from regulatory compliance to data integrity and patient privacy. If they don’t, they could lose business, fail to launch products, undergo lawsuits or incur the wrath of lawmakers. Veeva Systems helps them follow those rules,…

A machine-learning model has calculated country-specific cancer mortality-to-incidence ratios and evaluated the factors that contribute the most to each country’s survival gaps. Additionally, the artificial intelligence (AI) tool mapped out actions each country could take to improve cancer outcomes. A report explaining the establishment of the machine learning framework and its country-specific findings was published in Annals of Oncology.  “Global cancer outcomes vary greatly, largely due to differences in national health systems. We wanted to create an actionable, data-driven framework that helps countries identify their most impactful policy levers to reduce cancer mortality and close equity gaps,” said co-lead researcher…

Industrial cybersecurity is standing at a crossroads where ‘locking down the perimeter’ is no longer enough to protect increasingly interconnected factories, grids, and process environments. Traditional defenses fall short when IT networks are connected to OT systems and attackers leverage this broadened attack surface to cause production interruptions, safety degradation, and negate reliability improvements that took years to develop within a matter of a few minutes. More than one-third of manufacturers identify enhancing IT/OT security as a key business priority, and nearly half say they intend to validate uptime and quality using real-time analytics and AI, rather than just relying on…

Cargo terminals are no longer peripheral facilities operating quietly behind passenger terminals. They are becoming decisive control points in global air freight networks, shaping reliability, speed, and operational resilience. As air cargo settles into a post-disruption phase marked by fluctuating demand and tighter service expectations, the focus has shifted from short-term capacity expansion to structural transformation. Automation is increasingly being embedded in how cargo terminals are designed, operated, and governed.Across major hubs, this shift is unfolding simultaneously on the warehouse floor, within digital coordination layers, and at the level of physical infrastructure. Together, these changes are redefining what a modern…

or fine-tuned an LLM, you’ve likely hit a wall at the very last step: the Cross-Entropy Loss. The culprit is the logit bottleneck. To predict the next token, we project a hidden state into a massive vocabulary space. For Llama 3 (128,256 tokens), the weight matrix alone is over 525 million parameters. While that’s only ~1GB in bfloat16, the intermediate logit tensor is the real issue. For large batches, it can easily exceed 80GB of VRAM just to compute a single scalar loss. Optimising this layer is how libraries like Unsloth and Liger-Kernel achieve such massive memory reductions. In this…

Dr. Mehmet Oz recently highlighted Alabama’s plan to use robots for ultrasounds due to a shortage of OB-GYNs during a rural healthcare roundtable with White House officials, a statement that has sparked significant attention on social media. The initiative is part of Alabama’s use of the $203 million awarded under the federal government’s Rural Health Transformation Program, which was created in the Big Beautiful Bill.According to the grant proposal, Alabama intends to allocate some of the funding for digital obstetric regionalization and telerobotic ultrasound. However, OB-GYNs in the state expressed skepticism about the plan’s effectiveness.”This won’t take care of access…

The reliability of machine learning classification systems is increasingly threatened by inaccurate ground truth labels, despite careful data curation by expert annotators. Zan Chaudhry, Noam H. Rotenberg, and Brian Caffo, alongside Craig K. Jones et al. from Johns Hopkins University and the Johns Hopkins Bloomberg School of Public Health, address this critical issue with a new approach to identifying mislabeled data. Their research introduces Adaptive Label Error Detection (ALED), a method that leverages feature extraction and Gaussian distribution modelling to pinpoint samples with incorrect labels. This novel technique demonstrates significantly improved sensitivity in detecting errors, without sacrificing precision, across several…

Only 10% of organizations have a well-developed strategy for managing non-human and agentic identities, according to a recent Okta survey of 260 executives. This gap is alarming given that 87% of breaches involve some form of compromised or stolen identity, and agentic AI introduces entirely new categories of identity that most security frameworks were never designed to address. The challenge is not simply that AI agents are new. Traditional AI systems generate predictions or recommendations that humans review before implementation. Agentic systems close that loop entirely.  They interpret instructions, develop multi-step plans, access resources and execute operations across infrastructure with…

FMC isn’t the agriculture play right now; it’s Deere & Co., the company bringing AI and automation to the farm of tomorrow.Spare a thought for the farmer. It’s the millions of them across the world that allow our modern economy to exist. And there are fewer of them doing it today than ever. In the 1700s, roughly 80% of the American population was farmers. Today, they represent less than 2% of the population. Yet they feed a vastly larger population than their historical counterparts. Modern technology allows farmers to produce enough food collectively to feed nearly all of the 8…

With the launch of new, high-data-volume Earth observation missions, NASA’s ability to effectively ingest, process, and archive large amounts of data requires the most cost-effective, flexible, and scalable data-management architectures and technologies. To meet these demands, NASA’s Earth Science Data Systems (ESDS) Program has implemented a strategic vision to develop and operate multiple components of NASA’s Earth Observing System Data and Information System (EOSDIS) in a commercial cloud environment.EOSDIS provides end-to-end capabilities for managing NASA Earth science data from satellites, aircraft, in situ measurements, and other sources. The migration of EOSDIS data into the Earthdata Cloud benefits users by giving…