In this paper, we introduce DobLIX, a dual-objective learned index specifically designed for Log-Structured Merge(LSM) tree-based key-value stores. Although traditional learned indexes focus exclusively on optimizing index lookups, they often overlook the impact of data access from storage, resulting in performance bottlenecks. DobLIX addresses this by incorporating a second objective, data access optimization, into the learned index training process. This dual-objective approach ensures that both index lookup efficiency and data access costs are minimized, leading to significant improvements in read performance while maintaining write efficiency in real-world LSM-tree systems. Additionally, DobLIX features a reinforcement learning agent that dynamically tunes the system parameters, allowing it to adapt to varying workloads in real-time. Experimental results using real-world datasets demonstrate that DobLIX reduces indexing overhead and improves throughput by 1.19 to 2.21 times compared to state-of-the-art methods within RocksDB, a widely used LSM-tree-based storage engine.

The Internet of Things (IoT) may have jumped the digital shark this year. Of course, some would say this happened a long time ago. The New York Times was calling it the "Internet of Way Too Many Things" back in 2015, long before the Amazon Echo, Google Home and other voice-activated speakers found their way into tens of millions of American homes, and long before smart versions of ordinary devices replaced consumers' thermostats, refrigerators and cars. Long before two-thirds of consumers told PYMNTS that they wanted their connected device, whatever it may be, to make seamless payments on their behalf, as shown in this year's "How We Will Pay" study. The study also illuminated which devices people use most and how they like to use them.

Jim Beam, the maker behind the world's best-selling bourbon and last year's groundbreaking Jim Beam Apple Watch, is making history yet again, taking its knack for innovation to create the first-ever "smart decanter." A "HomeBar" engineered with more than 200 years of bourbon know-how, "JIM" is advancing the technology of shot pouring and drinking, providing bourbon lovers a high-tech way to enjoy America's Native Spirit. A preview of the whiskey world's most innovative piece of technology can be viewed on YouTube, and is available in limited quantities to those 21 years of age or older for pre-order on www.JimBeam.com Unlike other smart home devices, "JIM" not only answers life's most important questions, but also offers groundbreaking shot pouring functionality that allows legal drinking age consumers to serve up a drink from the comfort of their couch. Voiced by 7th Generation Master Distiller Fred Noe, the decanter-turned virtual voice assistant includes a sleek compartment for bourbon storage and voice command capabilities.

As the stars get ready to rock the red carpet for the Emmys this Sunday, those of us who lost our invites in the mail are planning our viewing parties, and obviously no event is complete without themed drinks. Our friends at Drizly.com took a look at this year's nominated dramas and paired cocktails with some of our favorite shows. Check out these delicious drama cocktail recipes to try out on Emmys Night below. Inspired By Netflix's series "House Of Cards" Photo: Netflix Peach & Blackberry Infused Bourbon: Inspired By "House Of Cards" Frank Underwood's drink of choice is bourbon, neat (Blanton's, to be exact). We're big fans of homemade infusions, so we got a little creative and added peach and blackberry to pay homage to Frank's Southern roots.