Catastrophic forgetting remains a formidable obstacle to building an omniscient model in large language models (LLMs). Despite the pioneering research on task-level forgetting in LLM fine-tuning, there is scant focus on forgetting during pre-training. We systematically explored the existence and measurement of forgetting in pre-training, questioning traditional metrics such as perplexity (PPL) and introducing new metrics to better detect entity memory retention. Based on our revised assessment of forgetting metrics, we explored low-cost, straightforward methods to mitigate forgetting during the pre-training phase. Further, we carefully analyzed the learning curves, offering insights into the dynamics of forgetting. Extensive evaluations and analyses on forgetting of pre-training could facilitate future research on LLMs.

An individualised head-related transfer function (HRTF) is essential for creating realistic virtual reality (VR) and augmented reality (AR) environments. However, acoustically measuring high-quality HRTFs requires expensive equipment and an acoustic lab setting. To overcome these limitations and to make this measurement more efficient HRTF upsampling has been exploited in the past where a high-resolution HRTF is created from a low-resolution one. This paper demonstrates how generative adversarial networks (GANs) can be applied to HRTF upsampling. We propose a novel approach that transforms the HRTF data for convenient use with a convolutional super-resolution generative adversarial network (SRGAN). This new approach is benchmarked against two baselines: barycentric upsampling and a HRTF selection approach. Experimental results show that the proposed method outperforms both baselines in terms of log-spectral distortion (LSD) and localisation performance using perceptual models when the input HRTF is sparse.

Role requiring'No experience data provided' months of experience in None Pay if you succeed in getting hired and start work at a high-paying job first. Get Paid to Read Emails, Play Games, Search the Web, $5 Signup Bonus. Does innovative technology interest you? Are you passionate about NLP & Conversational AI? We are looking for a senior/ staff/ principal'remote-working' NLP engineer with conversational AI and chatbot development experience. The company is split into three key areas. You will be joining the voice team, focused on conversational AI working with state-of-art spoken language tech (NLP, conversational AI engines) to develop intricate chatbots to enhance overall customer experience and tackle labor productivity issues for their clients. The ideal candidate will also take it upon themselves to keep an eye on market changes and to search for new emerging language tech, as to continuously offer their customers the best tech solutions possible.

Why a Great Opportunity This is an American startup company that released a head-mounted virtual retinal display, called Magic Leap One, which superimposes 3D computer-generated imagery over real world objects, by "projecting a digital light field into the user's eye" involving technologies potentially suited to applications in augmented reality and computer vision. It is attempting to construct a light-field chip using silicon photonics. Job Description Job Description We have an exciting opportunity on our Software team for a strong leader with exceptional development/research skills in the field of Deep Learning. The primary responsibility of the Director, Deep Learning is to lead the research and development of multiple core perception components across multiple organizations spanning beyond the Perception group. The candidate's responsibilities extend to working closely with the executive team to establish the scope and schedule of the product critical projects, driving the formation of technical teams and ensuring a cohesive alignment of all essential technical expertise by setting optimal communication strategies.

UAV enabled communications and networking can enhance wireless connectivity and support emerging services. However, this would require system-level understanding to modify and extend the existing terrestrial network infrastructure. In this paper, we integrate UAVs both as user equipment and base stations into existing LTE-Advanced heterogeneous network (HetNet) and provide system-level insights of this three-tier LTE-Advanced air-ground HetNet (AG-HetNet). This AG-HetNet leverages cell range expansion (CRE), ICIC, 3D beamforming, and enhanced support for UAVs. Using system-level understanding and through brute-force technique and heuristics algorithms, we evaluate the performance of AG-HetNet in terms of fifth percentile spectral efficiency (5pSE) and coverage probability. We compare 5pSE and coverage probability, when aerial base-stations (UABS) are deployed on a fixed hexagonal grid and when their locations are optimized using genetic algorithm (GA) and elitist harmony search algorithm based on genetic algorithm (eHSGA). Our simulation results show the heuristic algorithms outperform the brute-force technique and achieve better peak values of coverage probability and 5pSE. Simulation results also show that trade-off exists between peak values and computation time when using heuristic algorithms. Furthermore, the three-tier hierarchical structuring of FeICIC provides considerably better 5pSE and coverage probability than eICIC.

No, I haven't had a psychedelic sandwich for lunch. I've just been wearing what looks like a pair of oversize swim goggles, attached to a Discman thingy on my hip--the Magic Leap One Creator Edition. These augmented-reality goggles put virtual objects in the real world, unlike virtual-reality goggles, which block it out. Think "Pokémon Go" but far more realistic and potentially useful. If you haven't been following Silicon Valley's mounting interest in AR, it's time.

Deep inside a nondescript building in Plantation, Florida, Magic Leap has built a gadget that is real, and cool, and can mix three-dimensional virtual images with reality better than any other augmented or mixed-reality headset--whatever you want to call it--that I've seen. The big question now is: what will people do with this thing? The company hopes developers and other creative types will start coming up with answers shortly. Because today Magic Leap will start selling its long-awaited first gadget, a pair of black, tinted, fly-eyed goggles called Magic Leap One. You'll first have to register as a developer--the company hopes a community of developers will emerge to build apps for the headset, as they do for smartphones--and shell out $2,295 for it (for comparison, Microsoft's HoloLens headset, also still aimed at developers, costs $3,000 or $5,000).

Two days after Uber announced self-driving truck operations in Arizona, which feature a backup driver as a precaution, Starsky Robotics said it has completed a seven-mile drive without a human in the vehicle. In mid-February, Starsky conducted the test on a closed portion of Route 833 in Hendry County, Florida, with no traffic. The 20,000-pound unmanned robotic truck drove 35 mph during the run. Starsky is the first company to publicly test an empty cabin for autonomous trucks. Its aim is to make a delivery without a human present by year's end.

Eric Dishman is making a cup of tea-and his kitchen knows it. At Intel's Proactive Health Research lab in Hillsboro, OR, tiny sensors monitor the researcher's every move. Radio frequency identification tags and magnetic sensors discreetly affixed to mugs, a tea jar, and a kettle, plus switches that tell when cabinet doors are open or closed, track each tea-making step. A nearby computer makes sense of these signals; if Dishman pauses for too long, video clips on a television prompt him with what to do next. It's all part of a growing effort at Intel and other labs around the country to develop ways to help the elderly, and others who need assistance with everyday activities.

On October 4, 1986, the University of Alabama hosted Notre Dame in a game of football. Notre Dame had won the previous four contests, but this time Alabama was favored. It had a stifling defense and a swift senior linebacker named Cornelius Bennett. Ray Perkins, Alabama's head coach, said of him, "I don't think there's a better player in America." Early in the game, with the score tied, Bennett blitzed Notre Dame's quarterback, Steve Beuerlein. "I was like a speeding train, and Beuerlein just happened to be standing on the railroad track," Bennett told me recently. Football is essentially a spectacle of car crashes. In 2004, researchers at the University of North Carolina, examining data gathered from helmet-mounted sensors, discovered that many football collisions compare in intensity to a vehicle smashing into a wall at twenty-five miles per hour. Bennett, who weighed two hundred and thirty-five pounds, drove his shoulder into Beuerlein's chest and heard what sounded like a balloon being punctured--"basically, the air going out of him." Beuerlein landed on his back. He stood up, wobbly and dazed. "I saw mouths moving, but I heard no voices," he later said. After Bennett's "vicious, high-speed direct slam," as the Times put it, Alabama seized the momentum and won, 28–10. Following college, Bennett was drafted into the National Football League. Between 1987 and 1995, he played for the Buffalo Bills, and appeared in four Super Bowls. During his pro career, he made more than a thousand tackles, playing through sprains, muscle tears, broken bones, and concussions. I asked him how many concussions he'd had. "In my medical file, there are probably six." "I couldn't even begin to tell you." "I played a long time," he said. "Every week after a game, I got some sort of headache." In 1996, he signed a thirteen-million-dollar contract with the Atlanta Falcons. He received weekly injections of Toradol, an anti-inflammatory drug. "It was magic--it made me feel like I was twenty-four again," Bennett said. He helped carry Atlanta to the Super Bowl--his fifth. In 2000, at the age of thirty-five, Bennett retired and moved to Florida. He lived in a hotel in Miami's Bal Harbour area, worked on his golf handicap, and vacationed with his wife and friends in Europe and in the Napa Valley. Several of Bennett's football peers were having a far tougher time. Darryl Talley, a former Bills teammate, suffered from severe depression. Mike Webster, a Hall of Fame center for the Pittsburgh Steelers, had become a homeless alcoholic; he died, of a heart attack, in 2002. Three years later, Terry Long, another former Steeler, committed suicide by drinking antifreeze. Andre Waters, a former Philadelphia Eagles safety, killed himself with a gunshot to the head. A neuropathologist named Bennet Omalu autopsied Webster, Long, and Waters, and detected a pattern: each had a high concentration of an abnormal form of a protein, called tau, on his brain.