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Here's what UC says about the chances of being plucked from massive waitlists

Los Angeles Times

Anika Madan, a senior at Sunny Hills High in Fullerton, had a loaded school resume when she applied to six University of California campuses for admission this fall: a 4.6 GPA, 11 college-level courses, student leadership positions and community service building robotic hands for people with disabilities. She was accepted to UC campuses at Irvine, Riverside and Santa Barbara -- but wait-listed at Berkeley, Davis and San Diego. Once again she is on edge -- along with tens of thousands of others -- as yet another nail-biting phase of a record-breaking UC admission season begins this week. Campuses are diving into their massive waitlists, selecting students to fill the seats of those who turned down UC offers by the May 1 college decision day. For the waitlisted, this next round is sparking more anxiety, frustration and even defiance as they try to decide whether to hold out for an offer from a favored campus or just move on.

'A lot of demand for skills in philosophy and the arts,' says lead Artificial Intelligence Advisor


SAN DIEGO (KUSI) – With Zoom school being the only option for many in the last year, some parents may feel deterred from artificial intelligence entering the classroom. But others, such as Neil Sahota, lead Artificial Intelligence Advisor to the United Nations, says AI can enhance and streamline some processes in the classroom. For example, AI could be used to make grading quicker and easier. Furthermore, educators are tasked with the need to update curriculum for students to ensure they stay competitive in a rapidly changing job market. Of equal importance is bridging the digital divide, in which underserved communities are increasingly left in lower income brackets because they simply don't have access to resources. Neil Sahota, lead Artificial Intelligence Advisor to the United Nations, joined KUSI's Ginger Jeffries on Good Evening San Diego to discuss AI's role in education.

Tomlinson: Artificial intelligence tools for monitoring employees come with complications


A metal head made of motor parts symbolizes artificial intelligence, or AI, at the Essen Motor Show for tuning and motorsports in Essen, Germany. The Comet petascale supercomputer at the San Diego Supercomputer Center at the University of California San Diego (UCSD) in San Diego used to develop artificial intelligence. MIT researchers are using the'Comet' MIT researchers are using the'Comet' supercomputer to develop an artificial intelligence. Harried supervisors will tell you managing a team is difficult in the best of times when face-to-face interaction happens daily and business is good. Providing constructive feedback to dispersed workers during a once-in-a-lifetime pandemic that has disrupted regular business can feel impossible.

Artificial life made in lab can grow and divide like natural bacteria

New Scientist

SYNTHETIC cells made by combining components of Mycoplasma bacteria with a chemically synthesised genome can grow and divide into cells of uniform shape and size, just like most natural bacterial cells. In 2016, researchers led by Craig Venter at the J. Craig Venter Institute in San Diego, California, announced that they had created synthetic "minimal" cells. The genome in each cell contained just 473 key genes thought to be essential for life. The cells were named JCVI-syn3.0 But on closer inspection of the dividing cells, Elizabeth Strychalski at the US National Institute of Standards and Technology and her colleagues noticed that they weren't splitting uniformly and evenly to produce identical daughter cells as most natural bacteria do.

TuSimple's IPO filing reveals roadblocks for self-driving startups with Chinese ties – TechCrunch


While the governments of the United States and China are pushing policies for technological decoupling, private tech firms continue to tap resources from both sides. In the field of autonomous vehicles, it's common to see Chinese startups -- or startups with a strong Chinese link -- keep operations and seek investments in both countries. But as these companies mature and expand globally, their ties to China also come under increasing scrutiny. When TuSimple, a self-driving truck company headquartered in San Diego, filed for an initial public offering on Nasdaq this week, its prospectus flagged a regulatory risk due to its Chinese funding source. On March 1, the Committee on Foreign Investment in the United States (CFIUS) requested a written notice from TuSimple regarding an investment by Sun Dream, an affiliate of Sina Corporation, which runs China's biggest microblogging platform Sina Weibo.

Deep-sea 'Roombas' will comb ocean floor for DDT waste barrels near Catalina

Los Angeles Times

When Californians learned in October that the waters off Santa Catalina Island once served as a dumping ground for thousands of barrels of DDT waste, the ocean science community jumped into action. A crew was swiftly assembled, shipping lanes cleared, the gears set in motion for a deep-sea expedition aboard the Sally Ride, one of the most technologically advanced research vessels in the country. By Wednesday, the ship was ready to leave San Diego and head for the San Pedro Basin, where 31 scientists and crew members will spend the next two weeks surveying almost 50,000 acres of the seafloor -- a much-needed first step in solving this toxic mystery that the ocean had buried for decades. "We want to provide a common base map of what's on the seabed at a high enough resolution," said Eric Terrill of the Scripps Institution of Oceanography, who is leading an effort made possible by the many scientists and federal officials who helped fast-track this expedition. "There were a lot of heroics pulled by quite a few people ... to make this happen."

Researchers create a swimming robot that can 'heal' itself


As the world contemplates ways to deploy robots to help with hazardous tasks such as large-scale cleanups or search and rescue missions, scientists are also second-guessing how to fix machines if they come into harm's way. We've previously seen jelly-like polymers used to create robotic hands that can repair themselves after a violent infliction. And, "biological" androids made from stem cells that can regenerate and stitch back together when sliced. The latest breakthrough involves tiny microbots that can magnetically "heal" themselves on the fly after breaking apart, without help from humans. Researchers at UC San Diego did this by creating 2 cm long swimming robots shaped like fish and composed of three layers.

Artificial Intelligence Aids Gene Activation Discovery


With the aid of artificial intelligence, UC San Diego scientists have solved a long-standing puzzle in human gene activation. The discovery described in the journal Nature could be used to control gene activation in biotechnology and biomedical applications. Scientists have long known that human genes spring into action through instructions delivered by the precise order of our DNA, directed by the four different types of individual links, or "bases," coded A, C, G and T. Nearly 25% of our genes are widely known to be transcribed by sequences that resemble TATAAA, which is called the "TATA box." How the other three-quarters are turned on, or promoted, has remained a mystery due to the enormous number of DNA base sequence possibilities, which has kept the activation information shrouded. Now, with the help of artificial intelligence, researchers at the University of California San Diego have identified a DNA activation code that's used at least as frequently as the TATA box in humans.

Deepfake Detectors can be Defeated, Computer Scientists Show for the First Time


Systems designed to detect deepfakes--videos that manipulate real-life footage via artificial intelligence--can be deceived, computer scientists showed for the first time at the WACV 2021 conference which took place online Jan. 5 to 9, 2021. Researchers showed detectors can be defeated by inserting inputs called adversarial examples into every video frame. The adversarial examples are slightly manipulated inputs which cause artificial intelligence systems such as machine learning models to make a mistake. In addition, the team showed that the attack still works after videos are compressed. "Our work shows that attacks on deepfake detectors could be a real-world threat," said Shehzeen Hussain, a UC San Diego computer engineering Ph.D. student and first co-author on the WACV paper.

Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems Artificial Intelligence

Millimeter wave vehicular channels exhibit structure that can be exploited for beam alignment with fewer channel measurements compared to exhaustive beam search. With fixed layouts of roadside buildings and regular vehicular moving trajectory, the dominant path directions of channels will likely be among a subset of beam directions instead of distributing randomly over the whole beamspace. In this paper, we propose a deep learning-based technique to design a structured compressed sensing (CS) matrix that is well suited to the underlying channel distribution for mmWave vehicular beam alignment. The proposed approach leverages both sparsity and the particular spatial structure that appears in vehicular channels. We model the compressive channel acquisition by a two-dimensional (2D) convolutional layer followed by dropout. We incorporate the low-resolution phase shifter constraint during neural network training by using projected gradient descent for weight updates. Furthermore, we exploit channel spectral structure to optimize the power allocated for different subcarriers. Simulations indicate that our deep learningbased approach achieves better beam alignment than standard CS techniques which use random phase shift-based design. Numerical experiments also show that one single subcarrier is sufficient to provide necessary information for beam alignment. Millimeter-wave (mmWave) vehicular communication enables massive sensor data sharing and various emerging applications related to safety, traffic efficiency and infotainment [2]-[4]. Yuyang Wang is with Apple Inc., One Apple park way, Cupertino, CA, 95014, USA, email: Nitin Jonathan Myers is with Samsung Semiconductor Inc., 5465 Morehouse Dr, San Diego, CA 92121 USA, email: Nuria González-Prelcic, and Robert W. Heath Jr. are with the Department of Electrical and Computer Engineering, North Carolina State University, 890 Oval Dr, Raleigh, NC 27606 USA, email: {ngprelcic, rwheathjr} Part of this work has been presented at IEEE ICASSP 2020 [1]. This material is based upon work supported in part by the National Science Foundation under Grant No. ECCS-1711702, and by a Qualcomm Faculty Award.