The ambitious expansion was announced by former Tesla staff scientist Remi Cadene in a post on X:

In keeping with Hugging Face’s ethos of open source, Cadene stated the robot project would be “open-source, not as in Open AI” in reference to OpenAI’s legal battle with Cadene’s former boss, Elon Musk.

Cadene – who will be leading the robotics initiative – revealed that Hugging Face is hiring robotics engineers in Paris, France.

A job listing for an “Embodied Robotics Engineer” sheds light on the project’s goals, which include “designing, building, and maintaining open-source and low cost robotic systems that integrate AI technologies, specifically in deep learning and embodied AI.”

The role involves collaborating with ML engineers, researchers, and product teams to develop innovative robotics solutions that “push the boundaries of what’s possible in robotics and AI.” Key responsibilities range from building low-cost robots using off-the-shelf components and 3D-printed parts to integrating deep learning and embodied AI technologies into robotic systems.

Until now, Hugging Face has primarily focused on software offerings like its machine learning codebase and open-source chatbot. The robotics project marks a significant departure into the hardware realm as the startup aims to bring AI into the physical world through open and affordable robotic platforms.

(Photo by Possessed Photography on Unsplash)

See also: Google engineer stole AI tech for Chinese firms

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

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The trial, called Trusted Operation of Robotic Vehicles in Contested Environments (TORVICE), was held in Australia under the AUKUS partnership formed last year between the three countries. It aimed to test robotic vehicles and sensors in situations involving electronic attacks, GPS disruption, and other threats to evaluate the resilience of autonomous systems expected to play a major role in future military operations.

Understanding how to ensure these AI systems can operate reliably in the face of modern electronic warfare and cyber threats will be critical before the technology can be more widely adopted.  

The TORVICE trial featured US and British autonomous vehicles carrying out reconnaissance missions while Australia units simulated battlefield electronic attacks on their systems. Analysis of the performance data will help strengthen protections and safeguards needed to prevent system failures or disruptions.

Guy Powell, Dstl’s technical authority for the trial, said: “The TORVICE trial aims to understand the capabilities of robotic and autonomous systems to operate in contested environments. We need to understand how robust these systems are when subject to attack.

“Robotic and autonomous systems are a transformational capability that we are introducing to armies across all three nations.” 

This builds on the first AUKUS autonomous systems trial held in April 2023 in the UK. It also represents a step forward following the AUKUS defense ministers’ December announcement that Resilient and Autonomous Artificial Intelligence Technologies (RAAIT) would be integrated into the three countries’ military forces beginning in 2024.

Dstl military advisor Lt Col Russ Atherton says that successfully harnessing AI and autonomy promises to “be an absolute game-changer” that reduces the risk to soldiers. The technology could carry out key tasks like sensor operation and logistics over wider areas.

“The ability to deploy different payloads such as sensors and logistics across a larger battlespace will give commanders greater options than currently exist,” explained Lt Atherton.

By collaborating, the AUKUS allies aim to accelerate development in this crucial new area of warfare, improving interoperability between their forces, maximising their expertise, and strengthening deterrence in the Indo-Pacific region.

As AUKUS continues to deepen cooperation on cutting-edge military technologies, this collaborative effort will significantly enhance military capabilities while reducing risks for warfighters.

(Image Credit: Dstl)

See also: Experts from 30 nations will contribute to global AI safety report

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Traditionally, robots have excelled in specific tasks but struggled with versatility, requiring individual training for each unique job. However, this limitation might soon be a thing of the past.

Open X-Embodiment: The gateway to generalist robots

At the heart of this transformation lies the Open X-Embodiment dataset, a monumental effort pooling data from 22 distinct robot types.

With the contributions of over 20 research institutions, this dataset comprises over 500 skills, encompassing a staggering 150,000 tasks across more than a million episodes.

This treasure trove of diverse robotic demonstrations represents a significant leap towards training a universal robotic model capable of multifaceted tasks.

RT-1-X: A general-purpose robotics model

Accompanying this dataset is RT-1-X, a product of meticulous training on RT-1 – a real-world robotic control model – and RT-2, a vision-language-action model. This fusion resulted in RT-1-X, exhibiting exceptional skills transferability across various robot embodiments.

In rigorous testing across five research labs, RT-1-X outperformed its counterparts by an average of 50 percent.

The success of RT-1-X signifies a paradigm shift, demonstrating that training a single model with diverse, cross-embodiment data dramatically enhances its performance on various robots.

Emergent skills: Leaping into the future

The experimentation did not stop there. Researchers explored emergent skills, delving into uncharted territories of robotic capabilities.

RT-2-X, an advanced version of the vision-language-action model, exhibited remarkable spatial understanding and problem-solving abilities. By incorporating data from different robots, RT-2-X demonstrated an expanded repertoire of tasks, showcasing the potential of shared learning in the robotic realm.

A responsible approach

Crucially, this research emphasises a responsible approach to the advancement of robotics. 

By openly sharing data and models, the global community can collectively elevate the field—transcending individual limitations and fostering an environment of shared knowledge and progress.

The future of robotics lies in mutual learning, where robots teach each other, and researchers learn from one another. The momentous achievement unveiled this week paves the way for a future where robots seamlessly adapt to diverse tasks, heralding a new era of innovation and efficiency.

(Photo by Brett Jordan on Unsplash)

See also: Amazon invests $4B in Anthropic to boost AI capabilities

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The announcement, made by Technology Secretary Michelle Donelan, marks a major step forward in harnessing the potential of AI in revolutionising healthcare. The investment will empower 22 winning projects across universities and NHS trusts, from Edinburgh to Surrey, to drive innovation and transform patient care.

Dr Antonio Espingardeiro, IEEE member and software and robotics expert, comments:

“As it becomes more sophisticated, AI can efficiently conduct tasks traditionally undertaken by humans. The potential for the technology within the medical field is huge—it can analyse vast quantities of information and, when coupled with machine learning, search through records and infer patterns or anomalies in data, that would otherwise take decades for humans to analyse.

We are just starting to see the beginning of a new era where machine learning could bring substantial value and transform the traditional role of the doctor. The true capabilities of this technology as an aide to the healthcare sector are yet to be fully realised. In the future, we may even be able to solve of some of the biggest challenges and issues of our time.

One of the standout projects receiving funding is the University College London’s Centre for Interventional and Surgical Sciences. With a grant exceeding £500,000, researchers aim to develop a semi-autonomous surgical robotics platform designed to enhance the removal of brain tumours. This pioneering technology promises to elevate surgical outcomes, minimise complications, and expedite patient recovery times.

“With the increased adoption of AI and robotics, we will soon be able to deliver the scalability that the healthcare sector needs and establish more proactive care delivery,” added Espingardeiro.

University of Sheffield’s project, backed by £463,000, is focused on a crucial aspect of healthcare – chronic nerve pain. Their innovative approach aims to widen and improve treatments for this condition, which affects one in ten adults over 30.

The University of Oxford’s project, bolstered by £640,000, seeks to expedite research into a foundational AI model for clinical risk prediction. By analysing an individual’s existing health conditions, this AI model could accurately forecast the likelihood of future health problems and revolutionise early intervention strategies.

Meanwhile, Heriot-Watt University in Edinburgh has secured £644,000 to develop a groundbreaking system that offers real-time feedback to trainee surgeons practising laparoscopy procedures, also known as keyhole surgeries. This technology promises to enhance the proficiency of aspiring surgeons and elevate the overall quality of healthcare.

Finally, the University of Surrey’s project – backed by £456,000 – will collaborate closely with radiologists to develop AI capable of enhancing mammogram analysis. By streamlining and improving this critical diagnostic process, AI could contribute to earlier cancer detection.

Ayesha Iqbal, IEEE senior member and engineering trainer at the Advanced Manufacturing Training Centre, said:

“The emergence of AI in healthcare has completely reshaped the way we diagnose, treat, and monitor patients.

Applications of AI in healthcare include finding new links between genetic codes, performing robot-assisted surgeries, improving medical imaging methods, automating administrative tasks, personalising treatment options, producing more accurate diagnoses and treatment plans, enhancing preventive care and quality of life, predicting and tracking the spread of infectious diseases, and helping combat epidemics and pandemics.”

With the UK healthcare sector already witnessing AI applications in improving stroke diagnosis, heart attack risk assessment, and more, the £13 million investment is poised to further accelerate transformative healthcare breakthroughs.

Health and Social Care Secretary Steve Barclay commented:

“AI can help the NHS improve outcomes for patients, with breakthroughs leading to earlier diagnosis, more effective treatments, and faster recovery. It’s already being used in the NHS in a number of areas, from improving diagnosis and treatment for stroke patients to identifying those most at risk of a heart attack.

This funding is yet another boost to help the UK lead the way in healthcare research. It comes on top of the £21 million we recently announced for trusts to roll out the latest AI diagnostic tools and £123 million invested in 86 promising tech through our AI in Health and Care Awards.”

However, the announcement was made the same week as NHS waiting lists hit a record high. Prime Minister Rishi Sunak made reducing waiting lists one of his five key priorities for 2023 on which to hold him “to account directly for whether it is delivered.” Hope is being pinned on technologies like AI to help tackle waiting lists.

This pivotal move is accompanied by the nation’s preparations to host the world’s first major international summit on AI safety, underscoring its commitment to responsible AI development.

Scheduled for later this year, the AI safety summit will provide a platform for international stakeholders to collaboratively address AI’s risks and opportunities.

As Europe’s AI leader, and the third-ranking globally behind the USA and China, the UK is well-positioned to lead these discussions and champion the responsible advancement of AI technology.

(Photo by National Cancer Institute on Unsplash)

See also: BSI publishes guidance to boost trust in AI for healthcare

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The event is co-located with Digital Transformation Week.

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Dojo was unveiled at Tesla’s annual AI Day last year but the project was still in its infancy. At AI Day 2022, Tesla unveiled the progress it has made with Dojo over the course of the year.

The supercomputer has transitioned from just a chip and training tiles into a full cabinet. Tesla claims that it can replace six GPU boxes with a single Dojo tile, which it says is cheaper than one GPU box.

Per tray, there are six Dojo tiles. Tesla claims that each tray is equivalent to “three to four full-loaded supercomputer racks”. Two trays can fit in a single Dojo cabinet with a host assembly.

Such a supercomputer naturally has a large power draw. Dojo requires so much power that it managed to trip the grid in Palo Alto.

“Earlier this year, we started load testing our power and cooling infrastructure. We were able to push it over 2 MW before we tripped our substation and got a call from the city,” said Bill Chang, Tesla’s Principal System Engineer for Dojo.

In order to function, Tesla had to build custom infrastructure for Dojo with its own high-powered cooling and power system.

An ‘ExaPOD’ (consisting of a few Dojo cabinets) has the following specs:

• 1.1 EFLOP
• 1.3TB SRAM
• 13TB DRAM

Seven ExaPODs are currently planned to be housed in Palo Alto.

Dojo is purpose-built for AI and will greatly improve Tesla’s ability to train neural nets using video data from its vehicles. These neural nets will be critical for Tesla’s self-driving efforts and its humanoid robot ‘Optimus’, which also made an appearance during this year’s event.

Optimus

Optimus was also first unveiled last year and was even more in its infancy than Dojo. In fact, all it was at the time was a person in a spandex suit and some PowerPoint slides.

While it’s clear that Optimus still has a long way to go before it can do the shopping and carry out dangerous manual labour tasks, as Tesla envisions, we at least saw a working prototype of the robot at AI Day 2022.

“I do want to set some expectations with respect to our Optimus robot,” said Tesla CEO Elon Musk. “As you know, last year it was just a person in a robot suit. But, we’ve come a long way, and compared to that it’s going to be very impressive.”

Optimus can now walk around and, if attached to apparatus from the ceiling, do some basic tasks like watering plants:

The prototype of Optimus was reportedly developed in the past six months and Tesla is hoping to get a working design within the “next few months… or years”. The price tag is “probably less than $20,000”.

All the details of Optimus are still vague at the moment, but at least there’s more certainty around the Dojo supercomputer.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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The robot, which uses AI to play three chess games at once, grabbed and pinched the child’s finger. Unfortunately, despite several people rushing to help, the robot broke the kid’s finger:

According to Moscow Chess Federation VP Sergey Smagin, the robot has been used for 15 years and this is the first time such an incident has occurred.

Reports suggest the robot expects its human rival to leave a set amount of time after it makes its play. The child played too quickly and the robot didn’t know how to handle the situation.

“There are certain safety rules and the child, apparently, violated them. When he made his move, he did not realise he first had to wait,” Smagin said. “This is an extremely rare case, the first I can recall.”

It doesn’t paint Russia’s robotics scene in the best light and it’s quite surprising the story even made it out of the country’s notorious censorship.

Fortunately, the child’s finger has been put in a cast and he is expected to make a quick and complete recovery. There doesn’t appear to be any lasting mental trauma either as he played again the next day.

A study in 2015 found that one person is killed each year by an industrial robot in the US alone. As robots become ever more prevalent in our work and personal lives; that number is likely to increase.

Most injuries and fatalities with robots are from human error, so it’s always worth being cautious.

(Photo by GR Stocks on Unsplash)

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Using the solution, health practitioners would be able to assess a person’s physical and cognitive health from anywhere in the world. Patients could access specialists no matter whether they’re based in the UK, India, the US, or anywhere else.

Iain Stewart, UK Government Minister for Scotland, said:

“It was fascinating to visit the National Robotarium and see first-hand how virtual teleportation technology could revolutionise healthcare and assisted living.

Backed by £21 million UK Government City Region Deal funding, this cutting-edge research centre is a world leader for robotics and AI, bringing jobs and investment to the area.”

The project is part of the National Robotarium’s assisted living lab which explores how to improve the lives of people living with various conditions.

Dr Mario Parra Rodriguez, an expert in cognitive assessment from the University of Strathclyde, is working on the project and believes the solution will enable more regular monitoring and health assessments that are critical for people living with conditions like Alzheimer’s disease and other cognitive impairments.

“The experience of inhabiting a distant robot through which I can remotely guide, assess, and support vulnerable adults affected by devastating conditions such as Alzheimer’s disease, grants me confidence that challenges we are currently experiencing to mitigate the impact of such diseases will soon be overcome through revolutionary technologies,” commented Rodriguez.

“The collaboration with the National Robotarium, hosted by Heriot-Watt University is combining experience from various disciplines to deliver technologies that can address the ever-changing needs of people affected by dementia.”

Dr Mauro Dragone is leading the research and explains how AI was vital for the project:

“Our prototype makes use of machine learning and artificial intelligence techniques to monitor smart home sensors to detect and analyse daily activities. We are programming the system to use this information to carry out a thorough, non-intrusive assessment of an older person’s cognitive abilities, as well as their ability to live independently.

Combining the system with a telepresence robot brings two major advances: Firstly, robots can be equipped with powerful sensors and can also operate in a semi-autonomous mode, enriching the capability of the system to deliver quality data, 24 hours a day, seven days a week. 

Secondly, telepresence robots keep clinicians and carers in the loop. These professionals can benefit from the data provided by the project’s intelligent sensing system, but they can also control the robot directly, over the Internet, to interact with the individual under their care. They can see through the eyes of the robot, move around the room or between rooms and operate its arms and hands to carry out more complex assessment protocols. They can also respond to emergencies and provide assistance when needed.”

Earlier this month, the UK government announced tax rises to fund social care, give people the dignity they deserve, and help the NHS recover from the pandemic.

However, some believe further rises are on the horizon. Innovative technologies could help to reduce costs while maintaining or improving care.

“Blackwood is always looking for solutions that help our customers to live more independently whilst promoting choice and control for the individual. Robotics has the potential to improve independent living, provide new levels of support, and integrate with our digital housing and care system CleverCogs,” said Mr Colin Foskett, Head of Innovation at Blackwood Homes and Care.

“Our partnership with the National Robotarium and the design of the assisted living lab ensures that our customers are involved in the co-design and co-creation of new products and services, increasing our investment in innovation and in the future leading to new solutions that will aid independent living and improve outcomes for our customers.”

Our sister publication, IoT News, reported on the construction of the £22.4 million National Robotarium earlier this year—including some of the facilities, equipment, and innovative projects that it hosts.

Find out more about Digital Transformation Week North America, taking place on 9-10 November 2021, a virtual event and conference exploring advanced DTX strategies for a ‘digital everything’ world.

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Musk has been one of the most prominent figures to warn that AI is a “danger to the public” and potentially the “biggest risk we face as a civilisation”. In 2017, he even said there was just a “five to 10 percent chance of success [of making AI safe]”.

Speaking about London-based DeepMind in a New York Times interview last year, Musk said: “Just the nature of the AI that they’re building is one that crushes all humans at all games. I mean, it’s basically the plotline in ‘War Games’”.

Unveiling a 5ft 8in AI-powered humanoid robot may seem to contradict Musk’s concerns. However, rather than leave development to parties who he believes would be less responsible, Musk believes Tesla can lead in building ethical AI and robotics.

Musk has form in this area after co-founding OpenAI. The company’s mission statement is: “To build safe Artificial General Intelligence (AGI), and ensure AGI’s benefits are as widely and evenly distributed as possible.”

Of course, it all feels a little like building nuclear weapons to deter them—it’s an argument that’s sure to have some rather passionate views on either side.

During the unveiling of Tesla Bot, Musk was sure to point out that you could easily outrun and overpower it.

Tesla Bot is designed to “navigate through a world built for humans” and carry out tasks that are dangerous, repetitive, or boring. One example task is for the robot to be told to go to the store and get specific groceries.

Of course, all we’ve seen of Tesla Bot at this point is a series of PowerPoint slides (if you forget about the weird dance by a performer dressed as a Tesla Bot … which we’re all trying our hardest to.)

The unveiling of the robot followed a 90-minute presentation about some of the AI upgrades coming to Tesla’s electric vehicles. Tesla Bot is essentially a robot version of the company’s vehicles.

“Our cars are basically semi-sentient robots on wheels,” Musk said. “It makes sense to put that into humanoid form.”

AI Day was used to hype Tesla’s advancements in a bid to recruit new talent to the company. 

On its recruitment page, Tesla wrote: “Develop the next generation of automation, including a general purpose, bi-pedal, humanoid robot capable of performing tasks that are unsafe, repetitive or boring.

“We’re seeking mechanical, electrical, controls and software engineers to help us leverage our AI expertise beyond our vehicle fleet.”

A prototype of Tesla Bot is expected next year, although Musk has a history of delays and showing products well before they’re ready across his many ventures. Musk says that it’s important the new machine is not “super expensive”.

Find out more about Digital Transformation Week North America, taking place on 9-10 November 2021, a virtual event and conference exploring advanced DTX strategies for a ‘digital everything’ world.

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The pair announced their partnership in celebration of World Oceans Day and is part of Razer’s 10-year #GoGreenWithRazer campaign that will see the company make green investments to support environment- and sustainability-focused startups.

Patricia Liu, Chief of Staff at Razer, said:

“We are extremely happy to have the opportunity to work with a startup focused on saving the environment.

ClearBot’s unique AI and advanced machine learning technology will enable and empower governments and organisations around the world to broaden their sustainability efforts.

We urge other innovative startups to reach out to Razer for collaboration opportunities as we strive to make the world a safer place for future generations.”

Around eight million metric tons of plastic is dumped into the oceans each year. For perspective, that’s about 17.6 billion pounds worth—or the equivalent of 57,000 blue whales.

As these plastics break into smaller pieces due to wave action and sun exposure, these microplastics also end up in our food chain in addition to releasing chemicals that further contaminate the sea.

Hypoxic ‘dead’ zones – areas of such low oxygen concentration that animal life suffocates and dies – are on the increase. In 2004, scientists found 146 hypoxic zones. By 2008, that number had swelled to 405. In 2017, scientists found a dead zone in the Gulf of Mexico equivalent to the size of New Jersey.

The team behind ClearBot design robots that leverage AI-powered computer vision to identify marine waste and retrieve it to be responsibly disposed of.

Sidhant Gupta, Chief Executive Officer at ClearBot, commented:

“The Razer team’s action-oriented approach to solving marine waste issues was extremely eye-opening. We are grateful to the team who volunteered their time for this project.

With the new model, we’re confident in extending our reach globally to protect marine waters, starting with partners which include marine harbour operators in Asia and NGOs who have already expressed interest.

Together with Razer, we look forward to effecting positive change for the world.”

ClearBot is calling on the community to upload photos of marine plastic waste commonly found in open waters to their website that will be used to help improve the robot’s waste-detection AI algorithm.

You can find out more about World Oceans Day from the United Nations’ website here.

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However, some software vendors place commodity AI-like OCR or image recognition combined with robotic process automation (RPA) under the same umbrella as intelligent automation. Others label intelligent automation as just smart robots when in reality there is much more to it. The following three themes are essential to acquiring intelligent automation:

A customer-centric business architecture

It is key to have a business architecture that operates from the centre-out, instead of top-down or bottom-up. This way, businesses can start their technology structure in a customer-centric format that focuses on solely the customers’ needs. This format is preferable to adopting a top-down approach, as a technology foundation developed from the top-down around front-end channels can lead to siloes, which increases the costs and can also be time-consuming. This method requires changes made to the architecture to then be updated onto each channel, whether it be mobile applications, contact centres, or chatbots etc. because each one is hardcoded and independent from the others, it would need to be done in this manner. Likewise, a platform built from the bottom-up – from databases, mainframes, ERP systems, etc. is just as problematic, as they are also built around siloed products, not end-to-end customer journeys.

A centre-out business architecture captures the micro-journey – processes needed to reach each outcome, for example, like applying for a loan or resolving a billing inquiry. It further ensures that there are clear and consistent stages an organisation must incorporate for every customer query or case, and also that these variables are accessible to each employee working in any channel. For example, if a customer were to contact a company’s customer service line, the representative will be able to view information about the status of the customer’s query, regardless of which channel they used. By breaking down siloes, relevant and accurate information can be provided quickly to customers, and fewer gaps in customer service will eliminate delays to improve satisfaction. 

Unlike the top-down approach, in the event that a change is made to a microjourney, this will be automatically reflected across all channels, thus ensuring that there are fewer errors made which increases the level of customer satisfaction and by extension, customer loyalty. American Express implemented a centre-out approach and saw customer satisfaction triple as well as a 10 percent increase in cardmember spending.

Case management and AI 

Combining the decision-making capabilities of AI with case management is crucial to getting work completed. If AI can be likened to a brain – doing the thinking, case management is like a muscle, because it makes each step happen. For example, email bots can quickly comprehend the reason, sentiment and data in a customer query using natural language processing. With case management, the issue would be automatically resolved or it would be routed and flagged to the right employee based on the level of priority and urgency.  

A low-code approach

Finally, a model-driven, low code environment breeds the effective collaboration of both business and IT in the development process, as the use of visual forms of software helps technical and non-technical staff to work together smoothly. Moreover, all work is documented, versioned and auditable so that processes can be managed and traced.

By referring to one single information hub, business and IT teams can see all the parts making up an application, and each visual form. This allows workers to design each micro-journey, identify customer personas for each one and highlight the channels they’ll use to interact with them. Plus, all the systems and data necessary at each stage of each process can also be decided.

Fast deployment, fast results

By applying a centre-out approach to intelligent automation, organisations can achieve faster deployment and faster results. For companies to achieve real intelligent automation, a single unified platform that combine AI, robotics, and case management needs to be implemented to plan customer outcomes. Agile platforms that enable businesses to easily adapt in times of change is the key to success in a constantly evolving environment. Businesses have the means to retire poor technology and inefficient processes by investing in intelligent automation. Those that do will achieve greater results at a lower cost while delivering a boost in customer satisfaction.

(Photo by Robina Weermeijer on Unsplash)

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