Inventors from more than 40 countries are in Qatar for the week-long Challenge and Innovation Forum on technology.
Super computers, cloud technology and robots are among the innovations on display.
Al Jazeera’s Victoria Gatenby reports from Doha.
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When you need to record the angle of something rotating, whether it’s a knob or a joint in a robotic arm, absolute rotary encoders are almost always the way to go. They’re cheap, they’re readily available, and it turns out you can make a pretty fantastic one out of a magnetic sensor, a ziptie, and a skateboard bearing.
When [Scott Bezek] got his hands on a AS5600 magnet sensor breakout board, that’s just what he did. The sensor itself is an IC situated in the middle of the board, which in Scott’s design sits on a 3D-printed carrier. A bearing mount sits atop it, which holds — you guessed it — a bearing. Specifically a standard 608 skateboard bearing, which is snapped into the mount and held securely by a ziptie cinched around the mount’s tabs. The final part is a 3D-printed knob with a tiny magnet embedded within, perpendicular to the axis of rotation. The knob slides into the bearing and the AS5600 reads the orientation of the magnet.
Of course, if you just wanted a rotary knob you could have just purchased an encoder and been done with it, but this method has its advantages. Maybe you can’t fit a commercially-available encoder in your design. Maybe you need the super-smooth rotation provided by the bearing. Or maybe you’re actually building that robotic arm — custom magnetic encoders like this one are extremely common in actuator design, and while the more industrial versions (usually) have fewer zipties, [Scott]’s design would fit right in.
The biggest tech company in China, Jack Ma’s Alibaba has just released the biggest, most efficient and newest Artificial Intelligence Model in the world. It’s almost 100 times smarter than GPT 3 and is even expected to surpass OpenAI’s yet to be released GPT 4 in both abilities and ease of use. The Alibaba M6 is a 10 trillion parameter model which in certain aspects even beats the human brain. But more importantly, China is currently beating the USA when it comes to their machine learning and deep learning technologies which could become dangerous as their leads extend and their secret government projects slowly come to light. OpenAI, Nvidia and Deepmind have a tough road toward Artificial super intelligence in front of them. China is starting to look scary but impressive.
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TIMESTAMPS:
00:00 Chinese AI is getting Scary.
01:17 What this AI does better than anyone else.
02:29 The Scary Prospects of Chinese AI Supremacy.
04:43 What is China’s goal with AI?
07:02 The Future of giant AI Models.
10:03 Last Words.
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#ai #gpt4 #china
In this video I’ll show you how increasing your Internet Connection Speed by 100 times is possible and where that has been accomplished.
A world record fastest data transmission rate and fastest Internet Ping has been achieved by a team of University College London engineers who reached an internet speed a fifth faster than the previous record.
It’s faster tgab 100tb a second and can download or upload pretty much anything instantly.
The best part about that is that ISP’s like Google Fiber, Comcast or Verizon will have an easy time improving their Internet Connections due to the new technology using similar kind of cables to achieve this super fast internet speed.
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TIMESTAMPS:
00:00 A Record Breaking Internet Speed.
02:02 How Internet Speed is measured.
02:55 How this technology works.
05:09 Another revolutionary Internet Provider.
06:24 Other important aspects of Internet Speed.
07:18 Last Words.
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#internet #speed #ai
The Neuro-Network.
𝙈𝙚𝙚𝙩 𝙍𝙊𝙎𝘼: 𝙍𝙤𝙗𝙤𝙩 𝙜𝙪𝙞𝙙𝙚𝙨 𝙗𝙧𝙖𝙞𝙣 𝙨𝙪𝙧𝙜𝙚𝙧𝙮 𝙖𝙩 𝙃𝙤𝙪𝙨𝙩𝙤𝙣 𝙑𝘼
𝘛𝘩𝘦𝘳𝘦 𝘪𝘴 𝘢 𝘯𝘦𝘸 𝘴𝘶𝘳𝘨𝘪𝘤𝘢𝘭 𝘳𝘰𝘣𝘰𝘵 𝘪𝘯 𝘵𝘰𝘸𝘯. 𝘙𝘖𝘚𝘈, 𝘢 𝘳𝘰𝘣𝘰𝘵𝘪𝘻𝘦𝘥 𝘴𝘶𝘳𝘨𝘪𝘤𝘢𝘭 𝘢𝘴𝘴𝘪𝘴𝘵𝘢𝘯𝘵, 𝘩𝘢𝘴 𝘫𝘰𝘪𝘯𝘦𝘥 𝘵𝘩𝘦 𝘏𝘰𝘶𝘴𝘵𝘰𝘯 𝘝𝘈 𝘵𝘦𝘢𝘮 … See more.
Houston VA surgeons successfully complete VA’s first use of ROSA, a minimally invasive robotic device, on an Army Veteran from Oklahoma.
Many of the world’s top surgeons are learning first-hand what they can do with surgical robots — and it’s unlocking a new era in health care.
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.
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.
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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