The parents of several Oxford High School students, including deceased Tate Myre, have filed a lawsuit against shooting suspect Ethan Crumbley, his parents and school staff. The parents of two victims of the Nov. 30, 2021, shooting at Oxford High School in Michigan are demanding more transparency from the Oxford Community School District after the board voted against moving forward with an independent investigation into the tragedy last fall. The Oxford Board of Education on Tuesday announced that the district has, for the second time, declined an offer from Michigan Attorney General Dana Nessel to conduct a third-party investigation into the school shooting with the goal of determining how shooting suspect Ethan Crumbley, 15, managed to kill four students and injure seven others last fall. "To me, this is an admission of guilt," Buck Myre, father of deceased 16-year-old Tate Myre, said during a Thursday press conference. "They know that things didn't go right that day, and they don't want to stand up and fix it. They're going to hide behind governmental immunity and they're going to hide behind insurance and the lawyers. What's this teach the kids? "We just want accountability," he added later when asked why an independent investigation is important to parents. Oakland County Prosecutor Karen McDonald revealed in December 2021 that school officials met with Crumbley and his parents to discuss violent drawings he created just hours before the deadly rampage. The 15-year-old suspect was able to convince them during the meeting that the concerning drawings were for a "video game." His parents "flatly refused" to take their son home. The shooting has also resulted in several lawsuits, including two that seek $100 million in damages each, against the school district and school employees on behalf of the family of two sisters who attend the school. Ethan Robert Crumbley, 15, charged with first-degree murder in a high school shooting, poses in a jail booking photograph taken at the Oakland County Jail in Pontiac, Michigan. Myre and Meghan Gregory, the mother of 15-year-old Keegan Gregory, who survived the shooting but witnessed and was traumatized by Crumbley's rampage, are suing the shooting suspect's parents, James and Jennifer Crumbley, as well as school staff for negligence. JENNIFER CRUMBLEY, ETHAN CRUMBLEY'S MOTHER, SENT OMINOUS TEXTS ON DAY OF SHOOTING: 'HE CAN'T BE LEFT ALONE' "They're the ones that know what happened that day.
The ultimate achievement to some in the AI industry is creating a system with artificial general intelligence (AGI), or the ability to understand and learn any task that a human can. Long relegated to the domain of science fiction, it's been suggested that AGI would bring about systems with the ability to reason, plan, learn, represent knowledge, and communicate in natural language. Not every expert is convinced that AGI is a realistic goal -- or even possible. Gato is what DeepMind describes as a "general-purpose" system, a system that can be taught to perform many different types of tasks. Researchers at DeepMind trained Gato to complete 604, to be exact, including captioning images, engaging in dialogue, stacking blocks with a real robot arm, and playing Atari games. Jack Hessel, a research scientist at the Allen Institute for AI, points out that a single AI system that can solve many tasks isn't new.
We are presently living in an age of "artificial intelligence" -- but not how the companies selling "AI" would have you believe. According to Silicon Valley, machines are rapidly surpassing human performance on a variety of tasks from mundane, but well-defined and useful ones like automatic transcription to much vaguer skills like "reading comprehension" and "visual understanding." According to some, these skills even represent rapid progress toward "Artificial General Intelligence," or systems which are capable of learning new skills on their own. Given these grand and ultimately false claims, we need media coverage that holds tech companies to account. Far too often, what we get instead is breathless "gee whiz" reporting, even in venerable publications like The New York Times.
Google I/O 2022, Google's largest developer conference, kicked off with a keynote speech from Alphabet CEO Sundar Pichai. The keynote speech had major announcements including the launch of Pixel watch, updates on PaLM and LaMDA, advancements in AR and immersive technology etc. Let us look at the key highlights. "Recently we announced plans to invest USD 9.5 billion in data centers and offices across the US. One of our state-of-the-art data centers is in Mayes County, Oklahoma. I'm excited to announce that, there, we are launching the world's largest, publicly-available machine learning hub for our Google Cloud customers," Sundar Pichai said.
Nate writes about the intersection of education and technology. He's also worked as a newspaper staff writer covering K-12 and higher education, business, local government, and public safety. As the pandemic nears its third year, healthcare remains top of mind for many people. Intel on Tuesday gave three students a high-profile platform at Intel Vision 2022. These young innovators all chose to share how they'd use technology to address healthcare challenges.
The Los Angeles Unified School District is poised to vote on a controversial proposal that could reshape education for thousands of deaf and hard-of-hearing students, a key battle in a long national fight over how such children learn language. Oscar winner Marlee Matlin and the American Civil Liberties Union are among those urging the Board of Education to pass Resolution 029-21/22 at its meeting Tuesday, inaugurating a new Department of Deaf and Hard of Hearing Education. Students would be eligible to receive the state seal of biliteracy on their diplomas, and ASL would be offered as a language course in some high schools. The resolution also would introduce ASL-English bilingual instruction for many of the district's youngest deaf learners -- a move supporters say is critical to language equity and opponents say robs parents of choice and runs afoul of federal education law. "For 400 years at least there's been a big battle between people who think children with hearing loss should speak, and people who think they should use sign language -- it's a very old argument," said Alison M. Grimes, director of audiology and newborn hearing at UCLA Health.
The future of HR is both digital and human as HR leaders focus on optimizing the combination of human and automated work. This is driving a new priority for HR: one which requires leaders and teams to develop a fluency in artificial intelligence while they re-imagine HR to be more personal, human and intuitive. As we enter 2019, it's the combination of AI and human intelligence that will transform work and workers as we know it. For many companies the first pilots of artificial intelligence are in talent acquisition, as this is the area where companies see significant, measurable, and immediate results in reducing time to hire, increasing productivity for recruiters, and delivering an enhanced candidate experience that is seamless, simple, and intuitive. One company that has delivered on this is DBS Bank.
Evaporation calculations are important for the proper management of hydrological resources, such as reservoirs, lakes, and rivers. Data-driven approaches, such as adaptive neuro fuzzy inference, are getting popular in many hydrological fields. This paper investigates the effective implementation of artificial intelligence on the prediction of evaporation for agricultural area. In particular, it presents the adaptive neuro fuzzy inference system (ANFIS) and hybridization of ANFIS with three optimizers, which include the genetic algorithm (GA), firefly algorithm (FFA), and particle swarm optimizer (PSO). Six different measured weather variables are taken for the proposed modelling approach, including the maximum, minimum, and average air temperature, sunshine hours, wind speed, and relative humidity of a given location. Models are separately calibrated with a total of 86 data points over an eight-year period, from 2010 to 2017, at the specified station, located in Arizona, United States of America. Farming lands and humid climates are the reason for choosing this location. Ten statistical indices are calculated to find the best fit model. Comparisons shows that ANFIS and ANFIS–PSO are slightly better than ANFIS–FFA and ANFIS–GA. Though the hybrid ANFIS–PSO (R2= 0.99, VAF = 98.85, RMSE = 9.73, SI = 0.05) is very close to the ANFIS (R2 = 0.99, VAF = 99.04, RMSE = 8.92, SI = 0.05) model, preference can be given to ANFIS, due to its simplicity and easy operation.
Humans observe the world through a combination of different modalities, like vision, hearing, and our understanding of language. Machines, on the other hand, interpret the world through data that algorithms can process. So, when a machine "sees" a photo, it must encode that photo into data it can use to perform a task like image classification. This process becomes more complicated when inputs come in multiple formats, like videos, audio clips, and images. "The main challenge here is, how can a machine align those different modalities? As humans, this is easy for us. We see a car and then hear the sound of a car driving by, and we know these are the same thing. But for machine learning, it is not that straightforward," says Alexander Liu, a graduate student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) and first author of a paper tackling this problem.
Nate writes about the intersection of education and technology. He's also worked as a newspaper staff writer covering K-12 and higher education, business, local government, and public safety. If you have a tech job -- or want one -- the market is strong. And as a job-seeker or potential job-switcher, you have an advantage. The pandemic made remote work mainstream.