Lifeboat Foundation

The industry standard for dangerous and routine autonomous inspections, now with a brand new set of features and hardware.

#BostonDynamics

Hallucination!

Can “hallucinations” generate an alternate world, prophesying falsehood?

As I write this article, NVIDIA^(• is surpassing Wall Street’s expectations. The company, headquartered in Santa Clara, California, has just joined the exclusive club of only five companies in the world valued at over a trillion dollars [Apple (2.7T), Microsoft (2.4T), Saudi Aramco (2T), Alphabet/Google (1.5T), and Amazon (1.2T)], as its shares rose nearly 25% in a single day! A clear sign of how the widespread use of Artificial Intelligence (AI) can dramatically reshape the technology sector.

Intel has announced an ambitious plan to develop scientific generative AIs designed with one trillion parameters. These models will be trained on various types of data, including general texts, code, and scientific information. In comparison, OpenAI’s GPT-3 has 175 billion parameters (the size of GPT-4 has not yet been disclosed by OpenAI). The semiconductor company’s main focus is to apply these AIs in the study of areas such as biology, medicine, climate, cosmology, chemistry, and the development of new materials. To achieve this goal, Intel plans to launch a new supercomputer called Aurora, with processing capacity exceeding two EXAFLOPS^(*•, later this year.

Continue reading “Intelligence Explosion — Part 2/3” »

On his appointment, he said, It is really a great honour and privilege to be part of the Board of the Data Lab Scotland’s Artificial Intelligence and data to help contribute and provide strategic direction to the leadership of the Lab.

I am deeply humbled for this opportunity to contribute and help unlock the rich opportunities for AI and data, not just in Scotland, UK and across the world, by bringing industry, academia and public sector to harness opportunities, connect people and ideas, develop knowledge and expertise for the good of humanity and society-creating a better and sustainable economy and society.

The Nigerian-British man stressed his love for data and AI, saying, I am deeply passionate and intentional about data, AI, transformation, innovation, education, technology, inclusion, social and global mobility.

The team used publicly available neural network algorithms to program the robotic chef to pick up recipes.

Robots are the future of many industries. Robots are being trained all over the world to perform a wide range of tasks more meticulously — be it cleaning or playing football.

Continue reading “This robot chef learns to mimic salad recipes just by watching videos” »

Intel aims to put AI-accelerated experiences in the hands of hundreds of millions of people.

Intel unveiled key details about its next-generation suite of PC processors, Meteor Lake, at Microsoft’s Build 2023 conference.

The company claims its “chiplet” system-on-chip (SoC) design will allow Intel to deliver advanced intellectual properties (IPs) and segment-relevant performance at a lower power cost. This will enable Meteor Lake to be Intel’s first PC platform featuring a built-in neural VPU that will efficiently run AI models.

The European Union is leaning on signatories to its Code of Practice on Online Disinformation to label deepfakes and other AI-generated content. In remarks yesterday following a meeting with the 40+ signatories to the Code, the EU’s values and transparency commissioner, Vera Jourova, said those signed up to combat disinformation should put in place technology to recognize AI content and clearly label it to users.

In remarks yesterday following a meeting with the 40+ signatories to the Code, the EU’s values and transparency commissioner, Vera Jourova, said those signed up to combat disinformation should put in place technology to recognize AI content and clearly label it to users.

“The new AI technologies can be a force for good and offer new avenues for increased efficiency and creative expression. But, as always, we have to mention the dark side of this matter and they also present new risks and the potential for negative consequences for society,” she warned. “Also when it comes to the creation of and dissemination of disinformation.

Our podcast on the science and technology making the news. This week we explore how advancements in robotics can improve collaboration between humans and machines | Podcasts.

Tesla is planning to license Autopilot and even its Full Self-Driving suite to other companies, CEO Elon Musk said yesterday in a Tweet.

The announcement comes after Tesla recently struck a deal with Ford to open its Supercharging network to the automaker, which also plans to adopt Tesla’s charging connector that will eliminate the need for an adapter.

Musk, in a Tweet responding to an article regarding GM CEO Mary Barra’s comments regarding Tesla’s prowess in EVs, said that the company “aspires to be as helpful as possible to other car companies,” mentioning the move it made several years ago that made its patents freely available to other companies.

The ERP literature has also reported findings on the P600 in the context of language processing. This ERP component is commonly observed in the 500–900 ms time window, with a parietal topography⁵⁷. The P600 component was initially thought to reflect manipulation of syntactic information⁵⁷, but has since been associated with conflict monitoring^58,59,60. The P600 response can be found in a wide range of syntactic violations such as phrase structure violation⁶¹, semantic violations in extended discourse contexts⁶², subject-verb number agreement⁶³, pronoun case⁴⁷, verb inflection⁶⁴ and subjacency⁶⁵. The P600 response has been consistently associated with capturing differences between syntactically congruent relative to incongruent syntactic structures (e.g.,^27,66,67. It has been debated, however, whether the P600 responses seen in these cases are specialized for syntax processing or instead linked to a more general domain process such as attention, context updating or learning^27,47,68,69. Fitz and Chang ⁷⁰ proposed a model presenting P600 as the prediction error at the sequencing layer of a neural network. Their studies have shown that the recorded ERP components could be the result of learning processes, that helps in the adaptation process to new inputs.

These studies have also suggested that P600 reflects an integration process in the comprehension of the visual world. Sitnikova et al.⁷¹ presented movie clips of real-world activities with two types of endings: congruent and incongruent with the context. Their results showed that the violations of the expected event elicited the P600 component, which led them to conclude that the comprehension of the visual real-world required the mediation of two mechanisms reflected by N400 and P600. Differences in language processing in ASD individuals are also reflected in the P600 amplitude and latency. When exploring linguistic violations, the group with ASD presented longer reaction times⁷² and broader distributed P600 effects⁷³. P600 variations were associated with higher attentional cost and compensatory strategies. However, studies assigning the P600 response exclusively to incongruency in individuals with ASD remain scarce.

Due to the mixed results commonly found in studies of ASD, it is important to identify the paradigms capable of identifying differences in the neural responses to contextual language processing. In our study, we aim to investigate brain processing in children with ASD related to difficulties in the interpretation of language in context. To achieve this, we studied the detection of context incongruencies. We applied a task that demanded integrating visual and auditory information to assess whether a sentence contradicts the context (incongruent condition) or matches the context (congruent condition). The incongruent condition included two different categories: i) incongruent trials with sentences that are grammatically correct, and ii) incongruent trials with sentences that are grammatically incorrect presenting semantic mistakes. We used a 2 × 2 design with images (context) accompanied by an oral description (language) that could be either congruent or incongruent with the image. We examined the ERP waves amplitudes for N400 and P600 components and studied the differences across children with ASD and typically developing controls. We assessed group differences and differences between the two conditions within the groups. We hypothesized that individuals in the typically developing group would detect the incongruencies and, in response, present significantly higher N400 and P600 amplitudes on the incongruent conditions compared to the congruent conditions. We also expected the ASD group to have difficulties detecting the incongruencies between the context and the description. When investigating group differences, we expected to find significant differences in the amplitudes of the N400 and P600 ERPs on the incongruent conditions, with larger ERP amplitudes in the non-autistic group.