The head of an education technology startup that created a highly touted chatbot for the Los Angeles school system has been arrested and charged with fraud. Federal prosecutors, in an indictment unsealed Tuesday, accused Joanna Smith-Griffin of defrauding investors and charged her with securities fraud, wire fraud and aggravated identity theft. Smith-Griffin, 33, is the founder and former chief executive of AllHere, the Boston-based company that created "Ed," an artificial-intelligence tool billed as revolutionary for students' education and the interaction between the L.A. Unified School District and the families it serves. After unveiling the chatbot with great fanfare in March, L.A. school officials, months later, quietly disconnected the tool -- which was supposed to respond to any question from students or parents in an accurate, helpful and private manner. LAUSD board members at Tuesday's meeting will consider resolutions on immigration sanctuary, LGBTQ protection and accelerating the teaching of current events.

MRI-targeted biopsy has shown significant advantages over conventional random sextant biopsy, detecting more clinically significant cancers and improving risk stratification. However, needle targeting accuracy, especially in transperineal MRI-guided biopsies, presents a challenge due to needle deflection. This can negatively impact patient outcomes, leading to repeated sampling and inaccurate diagnoses if cancerous tissue isn't properly collected. To address this, we developed a novel differential drive prototype designed to improve needle control and targeting precision. This system, featuring a 2-degree-of-freedom (2-DOF) MRI-compatible cooperative needle driver, distances the robot from the MRI imaging area, minimizing image artifacts and distortions. By using two motors for simultaneous needle insertion and rotation without relative movement, the design reduces MRI interference. In this work, we introduced two mechanical differential drive designs: the ball screw/spline and lead screw/bushing types, and explored both hollow-type and side-pulley differentials. Validation through low-resolution rapid-prototyping demonstrated the feasibility of differential drives in prostate biopsies, with the custom hollow-type hybrid ultrasonic motor (USM) achieving a rotary speed of 75 rpm. The side-pulley differential further increased the speed to 168 rpm, ideal for needle rotation applications. Accuracy assessments showed minimal errors in both insertion and rotation motions, indicating that this proof-of-concept design holds great promise for further development. Ultimately, the differential drive offers a promising solution to the critical issue of needle targeting accuracy in MRI-guided prostate biopsies.

Intra-operative image guidance using magnetic resonance imaging (MRI) can significantly enhance the precision of surgical procedures, such as deep brain tumor ablation. However, the powerful magnetic fields and limited space within an MRI scanner require the use of robotic devices to aid surgeons. Piezoelectric motors are commonly utilized to drive these robots, with piezoelectric ultrasonic motors being particularly notable. These motors consist of a piezoelectric ring stator that is bonded to a rotor through frictional coupling. When the stator is excited at specific frequencies, it generates distinctive mode shapes with surface waves that exhibit both in-plane and out-of-plane displacement, leading to the rotation of the rotor. In this study, we continue our previous work and refine the motor design and performance, we combine finite element modeling (FEM) with stroboscopic and time-averaged digital holography to validate a further plastic-based ultrasonic motor with better rotary performance.

In a step forward from pandemic-era learning setbacks, standardized test scores in the Los Angeles school system made gains in all tested grade levels in math and English, Supt. Alberto Carvalho announced on Tuesday, although a majority of students remain below the state's grade level standards. At this time, the L.A. results can't be evaluated in a broader context because the California Department of Education has not publicly released statewide scores from the 2024 spring semester testing. Yet the scores suggest Los Angeles students have begun rebounding from sharp pandemic lows, when campuses were closed for more than a year and students kept pace as best they could through remote learning. In English, districtwide proficiency increased from about 41% to 43% of students year over year.

Alberto Carvalho, who remains determined to bring artificial intelligence into district classrooms despite the collapse of the technology company leading the effort, will appoint a task force to examine what went wrong and how to move forward. The schools chief announced the task force in an interview with The Times in advance of Tuesday's annual address to administrators, which is akin to a state-of-the-schools speech. In his public address, Carvalho is expected to highlight academic progress and L.A. Unified School District initiatives. In a recent appearance, he said he was hopeful that standardized test scores would rise at all grade levels in math and English. Although school districts throughout the state have received results -- and can make them public if they wish -- the state has not yet released local or statewide scores.

Alberto Carvalho said he is moving foward with his venture into artificial intelligence -- a platform designed to help students and families navigate the complexities of the district -- despite the collapse of the company that designed an AI chatbot. In his first extended interview about what happened, the L.A. schools chief described a fully functional AI-driven platform that is in place and owned by the district -- with everything but a chatbot for now. But parents and teachers are questioning this characterization, because the platform is not available across the school system and its signature feature is sidelined. They said they have no idea how or how well it works, how to access it or what it is supposed to do. Their only information, they said, came from splashy media events.

This spring, the Los Angeles Unified School District--the second-largest public school district in the United States--introduced students and parents to a new "educational friend" named Ed. A learning platform that includes a chatbot represented by a small illustration of a smiling sun, Ed is being tested in 100 schools within the district and is accessible at all hours through a website. It can answer questions about a child's courses, grades, and attendance, and point users to optional activities. As Superintendent Alberto M. Carvalho put it to me, "AI is here to stay. If you don't master it, it will master you." Carvalho says he wants to empower teachers and students to learn to use AI safely.

Alberto M. Carvalho sought to establish the nation's second-largest school system as a hub for innovation. "This is a technology that becomes a personal assistant to students," Carvalho said at a demonstration at Roybal Leaning Center, west of downtown. "It demystifies the navigation of the day ... crunches the data in a way that it brings what students need." Other school systems have pioneered similar platforms with chatbots -- as educators try to better engage students and families to improve learning and attendance. But Ed takes such efforts to the highest level yet, said Joanna Smith-Griffin, chief executive of Boston-based AllHere, which has worked with districts across the country and won a 6-million contract over five years to guide the L.A. effort. At its core, Ed is designed to give students immediate answers about where they stand, what they need to do to make progress -- or, more immediately, find out when their bus will arrive.

Offshore wind farms represent a renewable energy source with a significant global growth trend, and their monitoring is strategic for territorial and environmental planning. This study's primary objective is to detect offshore wind plants at an instance level using semantic segmentation models and Sentinel-1 time series. The secondary objectives are: (a) to develop a database consisting of labeled data and S-1 time series; (b) to compare the performance of five deep semantic segmentation architectures (U-Net, U-Net++, Feature Pyramid Network - FPN, DeepLabv3+, and LinkNet); (c) develop a novel augmentation strategy that shuffles the positions of the images within the time series; (d) investigate different dimensions of time series intervals (1, 5, 10, and 15 images); and (e) evaluate the semantic-to-instance conversion procedure. LinkNet was the top-performing model, followed by U-Net++ and U-Net, while FPN and DeepLabv3+ presented the worst results. The evaluation of semantic segmentation models reveals enhanced Intersection over Union (IoU) (25%) and F-score metrics (18%) with the augmentation of time series images. The study showcases the augmentation strategy's capability to mitigate biases and precisely detect invariant targets. Furthermore, the conversion from semantic to instance segmentation demonstrates its efficacy in accurately isolating individual instances within classified regions - simplifying training data and reducing annotation effort and complexity.

An AI chatbot named "Ed" will be Los Angeles Unified's newest student advisor, programmed to tell parents about their child's grades, tests results and attendance, Supt. Alberto Carvalho announced Friday in a back-to-school speech at Walt Disney Concert Hall that rivaled a Hollywood extravaganza. Carvalho took the stage as high-volume music pounded and fast-paced video flashed across a giant screen. The audience of district employees -- mostly administrators -- applauded as if on cue as lighting, singers, videos, dancers enmeshed in an annual address unprecedented for its production values in the nation's second-largest school district, a reflection of the superintendent's attentiveness to generating positive publicity. Amid the flashy production -- in anticipation of the Aug. 14 school opening -- Carvalho repeated his pledge to bring about full academic recovery from the pandemic within two years.