Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. Men, you may have heard, are in crisis. The causes are many, and the left and right identify different villains (toxic masculinity, according to the former; feminism and gynecocracy, says the latter). But there seems to be a growing consensus that something is rotten in man-land. And across the political spectrum there is at least a consensus that male despair and disconnect is fueled in large part by dramatic changes in society, the economy, and the family--all of which have left many men feeling dangerously unmoored, isolated, and purposeless.

Waymo's fleet of driverless vehicles are operating in more cities and a study indicates that may reduce crashes on roadways. The study, a non-paid partnership between Waymo itself and reinsurer Swiss Re, indicated Waymo's cars result in fewer insurance claims than those operated by people. Swiss Re analyzed liability claims from collisions covering 25.3 million miles driven by Waymo's autonomous cars. The study also compared Waymo's liability claims to human driver baselines based on data from over 500,000 claims and over 200 billion driving miles. The results found that Waymo Driver "demonstrated better safety performance when compared to human-driver vehicles.".

It's been two years since Google first debuted Project Green Light, a novel means of addressing the street-level pollution caused by vehicles idling at stop lights. At its Sustainability '23 event on Tuesday, the company discussed some of the early findings from that program and announced another wave of expansions for it. Green Light uses machine learning systems to comb through Maps data to calculate the amount of traffic congestion present at a given light, as well as the average wait times of vehicles stopped there. That information is then used to train AI models that can autonomously optimize the traffic timing at that intersection, reducing idle times as well as the amount of braking and accelerating vehicles have to do there. It's all part of Google's goal to help its partners collectively reduce their carbon emissions by a gigaton by 2030.

Noting that overlapping imaging features on contrast-enhanced computed tomography (CT) can make it challenging to differentiate between acute diverticulitis and colon cancer, researchers say an emerging deep learning model may provide enhanced sensitivity and specificity for these conditions. In a retrospective study recently published in JAMA Network Open, researchers developed and tested a three-dimensional (3D) convolutional neural network (CNN) for 585 patients (mean age of 63.2) who underwent surgery for colon cancer or acute diverticulitis between July 1, 2005 and October 1, 2020, had venous phase CT imaging within 60 days prior to surgery and had segmental wall thickening in the colon that was independent of disease stage. In comparison to mean sensitivity and specificity rates of 77.6 percent and 81.6 percent, respectively, for radiologist readers, the study authors noted an 83.3 percent sensitivity rate and an 86.6 percent specificity rate for the 3D CNN model. The combination of the deep learning model and radiologist assessment resulted in an eight percent increase in sensitivity (85.6 percent) and a 9.7 percent increase in specificity (91.3 percent) over radiologist assessments, according to the study findings. The study authors also noted the reduction of false-negative rates with the 3D CNN model.

Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use training data to learn how to respond to different situations. They learn by copying and adding additional information as they go along. This article reviews the positive and the negative impacts of AI on cybersecurity. Attacks are becoming more and more dangerous despite the advancements in cybersecurity.

Researchers at Harvard University have developed a robotic exosuit that swiftly calibrate to an individual wearer in a matter of seconds. The system uses ultrasound to measure a user's muscle dynamics and then develops an activity-specific profile, whether they're strolling in the park, stopped at a crosswalk, or running up a hill. Compared with not wearing the device, the'muscle-based assistance (MBA) ankle exosuit' reduced metabolic demand by nearly one-sixth. Engineers have long worked on exosuits that help people with disabilities walk, but the obstacle has always been developing a frame that can adapt to how humans often change pace and encounter new terrain. 'This approach may help support the adoption of wearable robotics in real-world, dynamic situations by enabling comfortable, tailored, and adaptive assistance,' Harvard Biodesign Lab founder director Conor J. Walsh, who helped develop the exosuit, said in a statement.

In the wake of the innovation called driverless cars, we looked into how driverless cars will impact the auto insurance industry. Technology has proven to be one of the blessings that are sharpening humanity and our existence. There is so much ease in the dispensation of our day-to-day activity and it is all thanks to the advance in technology we have enjoyed in recent times. The processes involved in carrying out some actions have been greatly eased and life is becoming less stressful. One of the many advances in technology that is being recorded in the 21st century is the manufacturing of driverless cars.

Ensuring the quality of each one is a top priority, but not easy. The disk drive manufacturing process is incredibly complex. For example, it takes 1,400 steps just to manufacture the drive head. Even the smallest errors can lead to product flaws. "Mistakes are costly," said Raghavan Srinivasan, senior director of global marketing at Seagate, which makes more disk drives than any other manufacturer. "If there are any anomalies, we're going to end up with poor yield later on, and we wouldn't know that until the long process is completed."

Data volumes in mobile networks are increasing at an unprecedented rate. In our latest mobility report, we forecast that mobile data traffic will grow fourfold by 2025, reaching up to 160 exabytes (EB) per month. This is amazing of course and offers all kinds of opportunities for communications service providers, but there is also a potential downside to this rapid surge in data traffic: its impact on the energy consumption and carbon footprint of mobile networks. That's not the only downside for communications service providers, as it also raises a significant cost concern. As we found in our AI report, the demand to reduce operational costs already ranks among the top priorities for today's operators.

What is the internet of medical things, or "IoMT" as it's sometimes called today? With the explosion of IoT use cases across industries, the medical space is no exception. Given the transformation of US healthcare to evidence-based outcomes with incentives that are beginning to align, metrics and patient feedback have become essential for care providers. Payers are increasingly interested in optimizing costs with treatments that are more effective than others. My personal experience with orthopedic sensors and the analytics possible with these sensors make me feel confident of a couple of things.