Tesla has added a discount to the new inventory of Model S and Model X vehicles and three years of free Supercharging for deliveries by the end of the quarter.
With the end of the quarter approaching, Tesla is looking to deliver better-looking financial results by not ending it with many vehicles in inventory.
To achieve this, Tesla has regularly applied special discounts or incentives to take delivery of new inventory vehicles by the end of the quarter.
Experts including David Rosenberg and analysts from Wall Street banks including Bank of America have compared the AI stock boom to the dot-com bubble that burst in 2000.
A unique use case for AI is around enhanced transaction monitoring to help combat financial fraud. Traditional rule-based approaches to anti-money laundering (AML) use static thresholds that only capture one element of a transaction, meaning they deliver a high rate of false positives. Not only is this hugely inefficient, but it can also be very demotivating for staff. With AI, multiple factors can be reviewed simultaneously to extract a risk score and develop an intelligent understanding of what risky behavior looks like. A feedback loop based on advanced analytics means that the more data is collected, the more intelligent the solution becomes. Pinpointing financial crime becomes more efficient and employees also benefit from more free time to focus efforts on other areas of importance like strategy and business development.
Thanks to its ever-increasing applications to evolving business challenges, regulators and financial institutions can no longer turn a blind eye to the potential of AI, with the power to revolutionize the financial system. It presents unique opportunities to reduce the capacity for human error, costing highly regulated industries billions each year.
What’s clear is that some technologies will, over time, become too difficult to ignore. As we saw with the adoption of the cloud, failure to embrace innovative technologies means organizations will get left behind. The cloud was once a pipedream, but now it’s a crucial part of all business operations today. Businesses implemented (or are in the process of implementing) huge digital transformation projects to migrate business processes to the cloud. Similarly, new organizations will kickstart their businesses in the cloud. This is a lesson that technologists must remain alert and continue to keep their finger on the pulse when it comes to incorporating fresh solutions.
Billionaire investor Li Ka-Shing is funding a new technology that can potentially rival artificial intelligence (AI) by using brain cells blended with computers in a technology it calls DishBrain.
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This science fiction-sounding tech comes from Australian biotech firm Cortical Labs. The company recently raised $10 million in a round led by Horizons Ventures, the investment vehicle of the 94-year-old Ka-Shing, the richest person in Hong Kong. Additional investors included Blackbird Ventures, an Australian venture capital (VC) fund; In-Q-Tel, the investment arm of the Central Intelligence Agency; U.S. firm LifeX Ventures; and others.
Caregivers of individuals with cancer likely have concerns about employment rights, finances, and support. This video will provide some options to support cancer caregivers.
The ability of the phenomenon of criticality to explain the sudden emergence of new properties in complex systems has fascinated scientists in recent decades. When systems are balanced at their “critical point,” small changes in individual units can trigger outsized events, just as falling pebbles can start an avalanche. That abrupt shift in behavior describes the phase changes of water from ice to liquid to gas, but it’s also relevant to many other situations, from flocks of starlings on the wing to stock market crashes. In the 1990s, the physicist Per Bak and other scientists suggested that the brain might be operating near its own critical point. Ever since then, neuroscientists have been searching for evidence of fractal patterns and power laws at work in the brain’s networks of neurons. What was once a fringe theory has begun to attract more mainstream attention, with researchers now hunting for mechanisms capable of tuning brains toward criticality.
Learn more about the critical brain hypothesis: https://www.quantamagazine.org/a-physical-theory-for-when-th…-20230131/
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Welcome to a thrilling exploration of Quantum Computing in AI! This video breaks new ground in explaining the exciting world of Quantum Computing, its intersection with Artificial Intelligence, and how it ushers us into a revolutionary new era of technology.
In the first segment, we demystify the concept of Quantum Computing. We delve into its complex yet fascinating principles, making it understandable even if you’re a novice in this field. If you’ve ever wondered how quantum bits (qubits) and superposition defy the norms of classical computing, this is your ultimate guide.
Next, we discuss the contrasting differences and functionalities of Quantum Computing Vs Classical Computing. By demonstrating the sheer power and potential of quantum computers, we illustrate why they are the vanguards of the future of computing.
What can a Quantum Computer really do? This question is answered in an intriguing section, where we highlight the extraordinary capabilities of these computing marvels. We also take a peek into quantum supremacy, a unique realm where quantum computers outperform classical ones.
A California-based startup called JetZero has a different idea: changing the shape of commercial planes and the material they’re made of. The company unveiled its designs for the midsize commercial and military tanker-transport markets this spring, and has big plans to upend the way air travel looks and feels—as well as how much it costs and how much carbon it emits. Tony Fadell, founder of venture capital firm Build Collective and a JetZero investor and strategic advisor, thinks the company could be the “SpaceX of aviation” due to its potential to disrupt the existing business model.
JetZero’s planes, which are still in the concept/prototype phase, have a blended wing body design. That means the wings merge with the main body of the aircraft, rather than being attached to a hollow tube like the planes we travel in today. Picture the body of a manta ray: wide and flat, it tapers off to a narrower fin at each side, with a head and a tail. A blended wing body aircraft isn’t terribly different, though on JetZero’s models the body isn’t quite as wide.
Besides providing a lot more space, this design is more aerodynamic than tube-and-wing planes. JetZero plans to fly its planes at higher altitudes than today’s norm (40 to 45,000 feet rather than 30 to 35,000), and says its airframe will cut fuel burn and emissions in half. It plans to make its planes out of carbon fiber and kevlar (a strong lightweight fiber used for things like body armor, bulletproof vests, car brakes, boats, and aircraft). The company says its planes’ lighter weight and improved aerodynamics would be able to fly at the same speed and range as existing midbody jetliners, but burn half as much fuel in the process.
New technologies will be able to wrap around legacy bank systems and create a new layer of data attribution, ushering in a modern era for accounting and business finance.
AI-enabled accounting takes a proactive approach to processing financial information. This means reducing the likelihood of errors, ensuring greater consistency across the ledger and allowing continuous data monitoring.
Where once bad or missing transaction information led to messy books and uninformed business decisions, advances in AI can now use context clues to categorize transactions accurately from the outset—getting us to a world where transactions can actually be “self-documenting.” This will make accountants’ and business owners’ lives easier while improving overall operating efficiencies.
Visits with a 24/7, co-payment-free telemedicine program established by Penn Medicine for its employees were 23% less expensive than in-person visits for the same conditions, according to a new analysis published in the American Journal of Managed Care.
Researchers at the Perelman School of Medicine at the University of Pennsylvania found that the per-visit costs for the telemedicine program, called Penn Medicine OnDemand, averaged $380 while in-person encounters in primary care offices, emergency departments, or urgent care clinics during the same timeframe cost $493 to conduct, a $113 difference per patient.
“The conditions most often handled by OnDemand are low acuity—non-urgent or semi-urgent issues like respiratory infections, sinus infections, and allergies—but incredibly common, so any kind of cost reduction can make a huge difference for controlling employee benefit costs,” said the study’s lead researcher, Krisda Chaiyachati, MD, an adjunct assistant professor of Medicine at Penn Medicine, who previously served as medical director of Penn Medicine OnDemand and now is the physician lead for Value-based Care and Innovation at Verily. “This research shows the clear financial benefits when hospitals and health systems offer telemedicine services directly to their own employees.”
