A large sensor, fast zoom lens, and tactile controls make this an appealing alternative to cameras like the Fujifilm X100 series. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The advanced compact is back. We may earn revenue from the products available on this page and participate in affiliate programs. If you've tried to buy a Canon G7X or a Fujifilm X100V-series camera lately, you may already know that advanced compact cameras have made a real comeback.

Cordless multi-tools, drywall cut-out kits, framing nailers, and a 15-amp 13-inch planer are all marked down across nearly 90 RIDGID deals. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Start your collection or build if you're already bought in. We may earn revenue from the products available on this page and participate in affiliate programs. The Home Depot is running a sprawling spring sale on RIDGID tools with cuts on cordless kits, combo bundles, jobsite gear, and corded shop equipment.

Gear Fitness Gear Callaway's new golf driver face combines titanium, carbon fiber, and a military-grade polymer found in an unlikely way Callaway's new Quantum drivers use the Tri-Force Face, a three-layer design bonding titanium and carbon fiber with a polymer the R&D team found in military research. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The three-layered construction allows both carbon and titanium to shine. We may earn revenue from the products available on this page and participate in affiliate programs. Golf driver faces have been almost exclusively titanium for more than three decades, with some detours into carbon fiber .

More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Data from more than 3 million foot scans informed the design. We may earn revenue from the products available on this page and participate in affiliate programs. If your work boots have ever felt cramped across the ball of your foot, Red Wing has a stat that explains why. The Minnesota bootmaker engineered its new IronFlex boot line using fit data from more than three million worker foot scans collected through the company's in-store scanning system.

In the last few months, a new AI called ChatGPT has emerged and is already upending education at all levels. How will ChatGPT impact Jewish education and Jewish learning? Identity/Crisis guest host David Zvi Kalman, Director of New Media and Scholar in Residence speaks with Sara Wolkenfeld, Rabbinic Fellow of the David Hartman Center and Chief Learning Officer at Sefaria about what these technologies mean for Jewish learning, how we think about the sacredness of texts, and where we go from here. Identity/Crisis is a weekly podcast from the Shalom Hartman Institute about news and ideas. Subscribe to Identity/Crisis on Apple Podcasts, Spotify or wherever you receive your podcasts.

From autonomous drones to driver-assist cars and shopping carts that can check you out of a supermarket without standing in line for a cashier, artificial intelligence is set to change our lives. But it doesn't just happen. In order to function, artificial intelligence needs to recognize millions of traffic hazards, or airborne objects, or items in a supermarket by comparing them with labeled images stored in its memory. Dataloop is the first company to figure out how to combine and automate much of the process behind the "computer vision" that allows these applications to work – saving time and resources. The four-year-old Israeli startup estimates its software is already used by most of the labeling providers.

20/20 computer vision for artificial intelligence. Toyota, Intel and LinkedIn use Israeli startup Dataloop to slash the time and cost of building AI …

A common challenge for production machine learning systems is reacting to change. The world can change quickly, particularly on a social network. This can range from sweeping changes at the scale of the whole economy (like a pandemic) down to everyday occurrences, such as a dormant member returning to LinkedIn in search of a new job. It's typically not enough to train and deploy a model just once; we need to keep it fresh, while balancing model complexity, training time, and computational costs. Ideally, the instant new data becomes available, we would incorporate it into the model.

Farming has long been a proving ground for the adage "necessity is the mother of invention." From the introduction of the steel plow and reaper over 200 years ago to modern advances like large-scale planters and genetically modified seeds, the human race has continually found new ways to tackle the world's long-term food supply problem. But we're once again nearing a tipping point, with the UN predicting the population will grow 35 percent in the next 35 years with only a four percent increase in arable land. The next leg of food productivity will come from greater precision in agriculture, says Goldman Sachs Research's Jerry Revich, enabling farmers to do more with less. Advances in hardware, software and computing power are converging with modern technologies like self-driving tractors and drones to help farmers feed humanity's next century. "We're simply talking about technologies that are needed to get us to adequate food supply by 2050."