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NVIDIA has launched a follow-up to the Jetson AGX Xavier, its $1,100 AI brain for robots that it released back in 2018. The new module, called the Jetson AGX Orin, has six times the processing power of Xavier even though it has the same form factor and can still fit in the palm of one’s hand. NVIDIA designed Orin to be an “energy-efficient AI supercomputer” meant for use in robotics, autonomous and medical devices, as well as edge AI applications that may seem impossible at the moment.

The chipmaker says Orin is capable of 200 trillion operations per second. It’s built on the NVIDIA Ampere architecture GPU, features Arm Cortex-A78AE CPUs and comes with next-gen deep learning and vision accelerators, giving it the ability to run multiple AI applications. Orin will give users access to the company’s software and tools, including the NVIDIA Isaac Sim scalable robotics simulation application, which enables photorealistic, physically-accurate virtual environments where developers can test and manage their AI-powered robots. For users in the healthcare industry, there’s NVIDIA Clara for AI-powered imaging and genomics. And for autonomous vehicle developers, there’s NVIDIA Drive.

The company has yet to reveal what the Orin will cost, but it intends to make the Jetson AGX Orin module and developer kit available in the first quarter of 2022. Those interested can register to be notified about its availability on NVIDIA’s website. The company will also talk about Orin at NVIDIA GTC, which will take place from November 8th through 11th.

SpinLaunch, a start-up that is building an alternative method of launching spacecraft to orbit, conducted last month a successful first test flight of a prototype in New Mexico.

The Long Beach, California-based company is developing a launch system that uses kinetic energy as its primary method to get off the ground – with a vacuum-sealed centrifuge spinning the rocket at several times the speed of sound before releasing.

“It’s a radically different way to accelerate projectiles and launch vehicles to hypersonic speeds using a ground-based system,” SpinLaunch CEO Jonathan Yaney told CNBC. “This is about building a company and a space launch system that is going to enter into the commercial markets with a very high cadence and launch at the lowest cost in the industry.”

In today’s multicultural society, language is the biggest barrier between the employer and the employee. And now as more opportunities for remote jobs are open, employees’ biggest fear is the language barrier or the different accents that might put them in a tough spot with the company they are applying for. Three Stanford students decided to encounter this problem after one of their own friends lost a customer support job due to his accent.

We decided to help the world understand and be understood, student Andres Perez Soderi, who is one of the founders of the new firm, told IEEE Spectrum. The friend group-turned-partners include a computer science major from China, an AI-focused management science and engineering major from Russia and a business-oriented MSE major from Venezuela.

After extensive research, the group found out that a lot of work had been done for voice conversion for deep fake technology but very little attention was given to accent translation. “We knew about accent-reduction therapy and being taught to emulate the way someone else speaks in order to connect with them. And we knew from our own experience that forcing a different accent on yourself is uncomfortable,” added Soderi. “We thought if we could allow software to translate the accent [instead], we could let people speak naturally.” Hence, in 2020 they started a company called Sanas which specializes in different accent translation.

Discussing The Future Of “Seno-Therapeutic” Development — Dr. Judith Campisi, PhD, Professor of Biogerontology, Buck Institute for Research on Aging.


Dr. Judith Campisi, PhD (https://www.buckinstitute.org/lab/campisi-lab/) is a biochemist, cell biologist, and Professor of Biogerontology at the Buck Institute for Research on Aging.

Dr. Campisi received a PhD in biochemistry from the State University of New York at Stony Brook and completed her postdoctoral training in cell cycle regulation at the Dana-Farber Cancer Institute and Harvard Medical School. As an assistant and associate professor at the Boston University Medical School, she studied the role of cellular senescence in suppressing cancer and soon became convinced that senescent cells also contributed to aging. She joined the Lawrence Berkeley National Laboratory as a senior scientist in 1991 working with Dr. Mina Bissell. In 2,002 she started a second laboratory at the Buck Institute. At both institutions, Dr. Campisi established a broad program to understand the relationship between aging and age-related disease, with an emphasis on the interface between cancer and aging.

Shokrollah Elahi led a new study showing that short-lived white blood cells called neutrophils play a role in impaired T cell functions and counts in people with HIV, as well as the chronic inflammation that is common with the virus. (Photo: Najmeh Bozorgmehr)


In a groundbreaking study of people living with HIV, University of Alberta researchers found that elusive white blood cells called neutrophils play a role in impaired T cell functions and counts, as well as the associated chronic inflammation that is common with the virus.

Neutrophils are a foundational part of the body’s immune system and the most abundant type of white blood cell, making up about 60 to 80 per cent of circulating immune cells in the blood. However, unlike other types of white blood cells, neutrophils are extremely short-lived and cannot be frozen and thawed like other immune cells, making them extremely difficult to examine, said study lead Shokrollah Elahi.

“Neutrophils live for hours to a day or two maximum,” Elahi said. “The body produces a lot of neutrophils, and they do their job and then they die and have to be regenerated in the bone marrow. But despite the fact that neutrophils are the most abundant white blood cells in the blood circulation, their role in the context of HIV has not been very well defined.”

Laser lidar startup Luminar, founded and led by the youngest self-made billionaire tracked by Forbes, will supply its sensors to Nvidia for a new autonomous vehicle technology platform that the chip and computing powerhouse is developing for automakers to install in consumer cars and trucks. The news pushed Luminar’s shares up more than 20%.

Nvidia aims to supply the DRIVE Hyperion system, powered by its Orin “systems on a chip” computing hardware, AI-enabled software and Luminar’s long-range Iris lidar, to automakers starting in 2,024 Luminar said at Santa Clara, California-based Nvidia’s annual GTC conference. The platform, which also integrates cameras and radar for additional sensing capability, includes everything needed for mass-production vehicles to operate autonomously in highway driving, Nvidia said earlier this year.

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Artificial intelligence (AI) has big promise to solve problems in almost every industry. AI-supported, AI-fueled, AI-based technologies are now present and capable of automating tasks in retail businesses and wealth management, to name a couple. These automations reduce error, manage increasingly vast datasets, and free up humans to do intelligent, strategic tasks. At the enterprise level, AI-architecture is transforming capacity and steadily shaping the way businesses of the future operate.

Connecting to Core Systems of Commerce Businesses Operationalizing machine learning or AI at scale is a key priority for the world of retail and commerce. Enterprise tech stacks leverage AI and predictions for high-frequency, ambiguous situations. Active learning and continuous improvement of AI are embedded in business applications and workflows. Making use of these requires contextual stitching of signals to create a single unified view of the truth, which empowers teams to make contextual decisions in the present. While the technological frameworks have existed for the better part of a decade, most businesses have been unable to overcome the barrier of applying technology in real world contexts, or at scale.

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After a series of delays for bad weather, the ill-health of an astronaut and then a wait for the splashdown of the previous mission this morning the world’s only re-usable orbital rocket take four astronauts to the International Space Station (ISS) as SpaceX and NASA launch the Crew-3 mission.

Originally due to launch on October 27 2021 from NASA’s Kennedy Space Center in Florida, NASA has now confirmed that its SpaceX Crew-3 mission will take-off no earlier than 9:03 p.m. EST on Wednesday, November 10 2021.

After the night launch the Falcon 9 rocket will attempt to land on a drone-ship in the Atlantic.

It will be SpaceX’s fourth NASA flight with astronauts, though last month it also successfully launched and landed the first all-civilian private astronaut crewed mission to orbit Earth.

Wastewater samples are being used to track the spread of SARS-CoV-2.

It’s sometimes called ‘wastewater-based epidemiology’ (WBE) – a scientific and public health field that involves detecting and monitoring specific molecules in untreated wastewater, to determine how prevalent they are. First proposed more than 70 years ago as a way to track the spread of the deadly poliovirus, WBE has since been used to measure human population exposure to pollutants, and even to estimate the level of drug consumption in major cities. In 2,020 it hit global news headlines when it was first proposed as a way to track SARS-CoV-2, the virus that causes COVID-19.