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CMU and Meta AI Researchers Propose Reinforcement Learning Approach HACMan

CMU Meta AI Reinforcement Learning Approach HACMan
Image Credits: meta ai

A method has been put forth by researchers from Carnegie Mellon University and Meta AI to carry out challenging non-prehensile manipulation tasks and generalize across item geometries with flexible interactions. They offer a reinforcement learning (RL) method for non-prehensile manipulation based on point cloud data called Hybrid Actor-Critical Maps for Manipulation (HACMan). 

HACMan’s first technical innovation suggests an object-centric, spatially anchored, and temporally abstracted action representation. The agent selects a set of motion parameters to guide its subsequent behavior after deciding where to make contact. The location of the contact is determined by the point cloud of the seen object, providing a firm spatial foundation for the conversation. They separate the most contact-rich portions of the action for learning, but this unintendedly results in the robot’s decisions being more abstract in terms of time. 

The suggested action representation is implemented using an actor-critic RL framework, which is the second technological development produced by HACMan. Since motion parameters are specified over a continuous action space, the action representation is in a hybrid discrete-continuous action space. 

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation

Contrarily, the position of a contact is determined over a discrete action space (by selecting a contact point from the object point cloud’s points). HACMan’s critic network forecasts Q-values at each pixel over the object point cloud while the actor-network creates continuous motion parameters for each pixel. 

In contrast to conventional continuous action space RL algorithms, the per-point Q-values are used to update the actor and score while selecting the contact position. They modify a conventional off-policy RL algorithm’s updating method to take into account this new hybrid action space. With random initial and target postures and different item forms, they employ HACMan to perform a 6D object pose alignment assignment. 

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ChatGPT Needs 500ml Water to Answer 20-50 Questions, Says Research

ChatGPT 500ml water answer 20-50 questions
Image Credits: Windows Central

According to a recent study, the water use of data centers is extremely large to support the ChatGPT artificial intelligence chatbot, which is used by billions of people globally.

ChatGPT has attracted notice for its capacity to provide thorough responses to a variety of inquiries, when given prompts. It is the fastest-growing consumer application in history with over 100 million monthly active users, and it has also passed a few tests.

Meanwhile, experts pointed out that these successes might have been at the cost of the chatbot using a lot of water. While past research focused on the carbon footprint of these AI models, experts asserted that the large-scale water usage required to run them has “remained under the radar.”

Read More: OpenAI Rolling Out ChatGPT Plugins To Plus Users

According to recent research, a conversation with an AI chatbot in a single system may consume a “500ml bottle of water” for 20 to 50 questions. In order to conduct the research, a new framework was developed to determine how much freshwater that is pure is used for cooling servers that run AI models as well as for generating electricity to power data center servers.

Scientists gave an example to illustrate their point by stating that just for the GPT-3 training, Microsoft is estimated to have used 700,000 liters (185,000 gallons) of water, enough to build 370 BMW vehicles. Scientists noted that Google’s LaMDA is supposed to consume a “stunning” quantity of water in the range of millions of liters.

In the study, researchers stated that AI models can, and also should, take social responsibility and set an example in the collective efforts to combat the global water scarcity challenge by reducing their own water footprint. Given ChatGPT’s billions of users, they said that although a 500ml bottle of water might not seem like much, the entire cumulative water footprint for inference is still very enormous.

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Meta Announces Inference Chip Project Developing In-house 

Meta announces inference chip project
Image Credits: Meta

On Thursday, Meta Platforms revealed fresh information about the initiatives it was pursuing to improve the suitability of its data centers for supporting artificial intelligence work, including a proprietary chip family that it claimed to be developing in-house.

In a series of blog posts, the owner of Facebook and Instagram claimed that as part of the Meta Training and Inference Accelerator (MTIA) programme it designed a first-generation chip in 2020. The programme aimed to increase the effectiveness of the recommendations models it uses to serve ads and other content in news feeds.

In a prior story from Reuters, it was stated that the corporation was already developing a replacement and had no plans to extensively deploy its first in-house AI processor. The initial MTIA chip was presented in the blog articles as a teaching tool.

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation

“From this initial programme, we have learned invaluable lessons that we are incorporating into our roadmap,” the statement read.

According to the posts, the initial MTIA chip was only focused on the AI technique known as inference, in which computers trained on vast quantities of data make decisions about whether to display, for example, a dancing video or a cat meme as the next item in a user’s feed.

A Meta representative declined to comment on deployment schedules or go into further detail about the company’s aspirations to create chips that could also train the models.

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Telecom Giant BT To Cut 55,000 Jobs With Up To A Fifth Replaced By AI

Telecom giant BT to cut 55,000 jobs
Image Credits: BT

Due to cost-cutting measures, telecom giant BT plans to eliminate up to 55,000 positions by the end of the decade, primarily in the UK.

As labor is replaced by technology like artificial intelligence, up to a fifth of those cuts will be made in customer support. Staff and contractors are also included in the headcount reduction from the existing workforce of 130,000.

“Whenever you get new technologies, you can get big changes,” stated CEO Philip Jansen. According to him, “generative AI” tools like ChatGPT, which can compose screenplays, poems, essays, and computer code in a manner akin to a human, “gives us confidence we can go even further.”

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation

Even while BT has stated that by the end of the 2020s, it will have a “much smaller workforce,” Mr. Jansen continued, “new technologies drive new jobs.”

The leading internet and mobile provider in the UK, BT, is actively expanding its fiber network as it transitions away from copper. The business said that once the work was over, fewer employees would be required to create and maintain its networks.

In addition, it claimed that fewer workers will be required to serve clients in the future due to newer, more effective technology, such as artificial intelligence.

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Meta to Face Privacy Fine Over Facebook Data Transfer from EU to US

Meta privacy fine Facebook data transfer EU US
Image Credits: Meta

According to two persons familiar with the situation, Meta Platforms is likely to receive a record-breaking European Union privacy penalties for failing to heed a top EU court’s warning about the transfer of Facebook user data from EU to US servers.

According to the sources, the fine will be larger than the previous record 746 million euros ($821.20 million) charged to Amazon.

Meta declined to comment. Also, the requests for comment from the Irish Data Protection Commission (DPC) and the European Commission were not immediately answered.

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation

Because they were concerned that American spy agencies would gain access to the data, EU regulators under the direction of Ireland’s Data Protection Commissioner Helen Dixon have been working to finalize a prohibition on the legal mechanism used by Facebook to transfer European user data.

They had stated in April that the Irish DPC had a month to issue a ruling banning Facebook’s transatlantic data flows. Mid-May may see the implementation of the ban.

A data transfer agreement between the EU and the US was declared unconstitutional in 2020 by the highest court in Europe, citing privacy concerns. A prohibition on the method Meta employs to send data from Europe to the US could compel it to halt Facebook services in Europe, Meta said last year.

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AI Startup Sanctuary AI Designs Humanoid General-Purpose Robot Phoenix 

Phoenix is a brand-new, highly developed general-purpose robot that was revealed yesterday by Vancouver-based Sanctuary AI, an artificial intelligence and robotics startup. According to the business, it has created the first humanoid general-purpose robot in history, powered by Carbon, a unique AI control system. 

To deal with the employment issues afflicting many firms, the SOTA AI system gives robots intelligence like to that of a person and enables them to perform a variety of functions. An important step in the company’s development towards full commercialisation, the company announced its first commercial deployment in March of this year. The business has now unveiled the sixth generation of technology in less than two months. 

Sanctuary AI, a company founded in 2018, is on a goal to develop the first general-purpose robots with human intelligence that will aid in safe, effective, and sustainable human labour. In addition to being part of the founding teams of Sanctuary AI, the members at the startup are also a part of D-Wave, Kindred, Creative Destructive Lab, and other companies.

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation

The startup has collaborated with organizations like Apptronik, Bell, Common Sense Machines, Contoro, Cycorp, Exonetik, HaptX, Magna, Tangible Research, Verizon Ventures, Workday Ventures, and others in an effort to achieve the ambitious goal of giving general-purpose robots human-like intelligence.

The startup obtained Series AI investment in March of last year. The company got a C$30 million funding from the Canadian government’s Strategic Innovation Fund (SIF) in November 2022, increasing its total funding to over C$100 million. 

According to Sanctuary AI, their technology has already been used to do hundreds of jobs that customers from more than a dozen different industries have identified. Phoenix was created to be the most sensor-rich and physically capable humanoid robot ever developed, according to Sanctuary AI’s chief and cofounder Geordie Rose, and to enable Carbon’s rapidly developing intelligence to carry out the widest range of labor conceivable. 

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Stability AI Announces Release of Open-source StableStudio

Stability AI release StableStudio
Image Credits: Stability AI

Stability AI today announced the release of StableStudio, the company’s premier interface for its Stable Diffusion model of art-generating artificial intelligence. A free and open-source alternative to DreamStudio is StableStudio.

After its release, DreamStudio quickly became known as a one-stop shop where users could access Stability AI’s text-to-image creating functions without having to know any programming. Users might easily produce artwork to test out new features as they become available by filling in instructions. In April, the system received the Stable Diffusion XL beta model, which can deliver even more vibrant and photorealistic pictures than before.

With the open-source release of StableStudio, developers will have total control over the interface for Stable Diffusion, enabling them to build and use custom plugins that can alter the underlying AI models made available by Stability AI.

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation 

As a result, StableStudio and its ecosystem will keep advancing in response to developer feedback. By integrating the project’s ongoing development into its public GitHub repository and creating incentives for improvements and new features, Stable Diffusion hopes to achieve this goal.

An employee of Google LLC recently complained in writing that leading providers of generative AI, such as Google’s Bard and OpenAI LP’s ChatGPT, were being rapidly encroached upon by the open-source AI community. The already-existing conflict in the industry between closed source and open source reached a peak as a result.

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DRDO Introduces Online Certifications in Cyber Security and Artificial Intelligence

DRDO online certifications cyber security artificial intelligence
Image Credits: DRDO

The Defence Research and Development Organisation (DRDO) has introduced online certification programmes in cyber security and artificial intelligence

Applications are being accepted for a 16-week and 12-week online course on cyber security and artificial intelligence (AI), respectively, through DRDO’s institute, the Defence Institute of Advanced Technology (DIAT).

Participants will be given an overview of the 200 hours of course material for the cyber security course, which covers advanced subjects including malware analysis, drone and anti-drone technologies, and 120 hours of course material for artificial intelligence and machine learning.

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation 

Both programmes are open to undergraduates, recent graduates, IT professionals, tri-service officers, and anyone working in research and development from all academic disciplines. 

The participants must register here and fill out their information for both online courses. Within two working days of submission, they will get an email with information on the next steps. The start dates for both online courses are set for June 12, 2023. Registration for these courses must be completed by May 25, 2023, and payment must be made by June 5, 2023.

Participants will pay Rs 29,500 for the online AI training and Rs 35,000 for the cyber security course. Five days a week, two hours will be dedicated to each of the two online courses. Participants will receive certificates if they have finished the course successfully.

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OpenAI Planning to Release a New Open-source Language Model

OpenAI planning new open-source language model
Image Credits: OpenAI

ChatGPT creator OpenAI is planning to release a new open-source language model, thus preparing to make a huge move in the world of artificial intelligence development. This comes as open-source AI models gain traction, posing a threat to industry titans such as Google and OpenAI. 

This move comes only weeks after a leaked letter from a Google top developer acknowledged the growth of open-source AI technologies and their direct danger to Google and OpenAI

The specifications of OpenAI’s future open-source model have yet to be revealed. It is not intended to compete directly with the flagship ChatGPT. Instead, it is expected to contribute to the developing open-source AI community.

Read More: OpenAI Closes $300 Million Funding Round Between $27-$29 billion Valuation

When OpenAI released ChatGPT to the public, its generative AI gained great traction. This sparked a scramble among internet companies, with Google launching its own Bard chatbot shortly after. Meta Platforms, not wanting to fall behind, provided access to powerful machine-learning models capable of interpreting conversational language. 

These models were subsequently converted into open-source software, paving the way for the creation of free alternatives to ChatGPT and other proprietary AI tools.

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EU Regulators Approve Microsoft’s Acquisition of Activision Blizzard 

EU regulators approve Microsoft’s acquisition Activision Blizzard
Image Credits: Activision

Microsoft’s proposed $69 billion acquisition of gaming developer Activision Blizzard was approved by European Union regulators on Monday, subject to Microsoft’s suggested remedies.

The European Commission, the EU’s executive arm, stated that Microsoft provided antitrust remedies in the new field of cloud gaming. These solutions focused on allowing customers to broadcast Activision games purchased on any cloud streaming platform.

After the transaction was blocked by the United Kingdom’s top competition body last month, Europe’s approval represents a big gain for Microsoft. Global regulators have been investigating whether Microsoft’s acquisition of Activision will hinder competition in the console and cloud gaming markets. Regulators questioned whether Microsoft would take Activision games and keep them solely on its own platforms.

Read More: OpenAI Rolling Out ChatGPT Plugins To Plus Users

Earlier, the Federal Trade Commission (FTC) had filed a legal case against Microsoft to try and block the company’s plan to buy Activision Blizzard for about $68.7 billion. On the other hand, Chile’s market regulatory institution, the Fiscalia Nacional Economica (FNE), published its approval of the contentious Microsoft acquisition of Activision Blizzard in December last year. 

Activision is responsible for some of the world’s most popular console and PC games, including the Call of Duty franchise and World of Warcraft. The EU decision comes after the UK Competition and Markets Authority blocked the transaction earlier this month, citing fears that it would decrease competition in the embryonic cloud gaming market. 

According to the CMA, Microsoft would benefit financially from making Activision’s important games, such as Call of Duty, exclusive to its own cloud gaming platforms. Nonetheless, the CMA stated that the acquisition would not reduce competition in the console market. Regulators and some of Microsoft’s competitors, including PlayStation gaming system maker Sony, have expressed resistance to the purchase.

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